Merge pull request #1194 from dimforge/dev

Release v0.32.0

.github/workflows/nalgebra-ci-build.yml

@@ -50,7 +50,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       # Needed because the --all-features build which enables cuda support.
-      - uses: Jimver/cuda-toolkit@v0.2.4
+      - uses: Jimver/cuda-toolkit@v0.2.8
       - uses: actions/checkout@v2
       - run: cargo build --all-features;
       - run: cargo build -p nalgebra-glm --all-features;
@@ -61,7 +61,7 @@ jobs:
     steps:
       - uses: actions/checkout@v2
       - name: test
-        run: cargo test --features arbitrary,rand,serde-serialize,sparse,debug,io,compare,libm,proptest-support,slow-tests;
+        run: cargo test --features arbitrary,rand,serde-serialize,sparse,debug,io,compare,libm,proptest-support,slow-tests,rkyv-safe-deser,rayon;
   test-nalgebra-glm:
     runs-on: ubuntu-latest
     steps:
@@ -123,9 +123,9 @@ jobs:
   build-cuda:
     runs-on: ubuntu-latest
     steps:
-      - uses: Jimver/cuda-toolkit@v0.2.4
+      - uses: Jimver/cuda-toolkit@v0.2.8
         with:
-          cuda: '11.2.2'
+          cuda: '11.5.0'
       - name: Install nightly-2021-12-04
         uses: actions-rs/toolchain@v1
         with:
@@ -136,4 +136,10 @@ jobs:
       - run: cargo build --no-default-features --features cuda
       - run: cargo build --no-default-features --features cuda --target=nvptx64-nvidia-cuda
         env: 
-          CUDA_ARCH: "350"
+          CUDA_ARCH: "350"
+  docs:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v2
+    - name: Generate documentation
+      run: cargo doc

CHANGELOG.md

@@ -4,6 +4,43 @@ documented here.
 
 This project adheres to [Semantic Versioning](https://semver.org/).
 
+## [0.32.0] (14 Jan. 2023)
+
+### Modified
+- Renamed all `MatrixSlice` types to `MatrixView`. In general all occurrences of the world `Slice` or `slice` have been
+  replaced by `View` or `view`.
+- Deprecated all the types involving `Slice` in its name, in favor of the word `View`.
+- Make it so that most `nalgebra` objects archive as themselves (when using `rkyv` for serialization).
+- Renamed `Dynamic` to `Dyn` and make `Dyn` a tuple struct.
+
+### Added
+- Add `Cholesky::ln_determinant` to compute the natural logarithm of the determinant of a matrix decomposed 
+  with Cholesky. This can be more numerically stable than computing the determinant itself when very small and/or
+  large values are involved.
+- Added new methods `Matrix::as_view` and `Matrix::as_view_mut`, which are very useful when working with view-based APIs.
+- Added parallel column iterator using `rayon`: `Matrix::par_column_iter` and `Matrix::par_column_iter_mut`. The `rayon`
+  feature must be enabled to access these methods.
+- Implement `ReshapableStorage` for matrix slices (only for unit strides at the moment).
+- Add `U0, U1, …` constants alongside the `U0, U1, …` types. This lets us write `U4` instead of `U4::name()` or
+  `Const::<4>` when we need const dimensions.
+
+### Fixed
+- Fixed the implementation of `Rotation3::euler_angles` to return the angles in the documented order (roll, pitch, yaw).
+
+## [0.31.4] (13 Nov. 2022)
+
+### Added
+- Add a `convert-glam022` feature to enable conversion between `nalgebra` and `glam v0.22`.
+
+
+## [0.31.3] (30 Oct. 2022)
+
+### Added
+- Add `Matrix::try_cast` to attempt casting the inner scalar types when that cast may fail.
+
+### Fixed
+- Fixed the usage of `CheckBytes` with `rkyv`.
+
 ## [0.31.2] (09 Oct. 2022)
 
 ### Modified

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name    = "nalgebra"
-version = "0.31.2"
+version = "0.32.0"
 authors = [ "Sébastien Crozet <developer@crozet.re>" ]
 
 description = "General-purpose linear algebra library with transformations and statically-sized or dynamically-sized matrices."
@@ -34,6 +34,7 @@ libm-force = [ "simba/libm_force" ]
 macros = [ "nalgebra-macros" ]
 cuda   = [ "cust_core", "simba/cuda" ]
 
+
 # Conversion
 convert-mint = [ "mint" ]
 convert-bytemuck = [ "bytemuck" ]
@@ -45,6 +46,7 @@ convert-glam018 = [ "glam018" ]
 convert-glam019 = [ "glam019" ]
 convert-glam020 = [ "glam020" ]
 convert-glam021 = [ "glam021" ]
+convert-glam022 = [ "glam022" ]
 
 # Serialization
 ## To use serde in a #[no-std] environment, enable the
@@ -53,8 +55,8 @@ convert-glam021 = [ "glam021" ]
 ## `serde-serialize`.
 serde-serialize-no-std = [ "serde", "num-complex/serde" ]
 serde-serialize        = [ "serde-serialize-no-std", "serde/std" ]
-rkyv-serialize-no-std  = [ "rkyv" ]
+rkyv-serialize-no-std  = [ "rkyv/size_32" ]
-rkyv-serialize         = [ "rkyv-serialize-no-std", "rkyv/std", "bytecheck" ]
+rkyv-serialize         = [ "rkyv-serialize-no-std", "rkyv/std", "rkyv/validation", "bytecheck" ]
 
 # Randomness
 ## To use rand in a #[no-std] environment, enable the
@@ -66,6 +68,7 @@ rand        = [ "rand-no-std", "rand-package/std", "rand-package/std_rng", "rand
 arbitrary        = [ "quickcheck" ]
 proptest-support = [ "proptest" ]
 slow-tests       = []
+rkyv-safe-deser  = [ "rkyv-serialize", "rkyv/validation" ]
 
 [dependencies]
 nalgebra-macros = { version = "0.1", path = "nalgebra-macros", optional = true }
@@ -75,12 +78,12 @@ num-traits     = { version = "0.2", default-features = false }
 num-complex    = { version = "0.4", default-features = false }
 num-rational   = { version = "0.4", default-features = false }
 approx         = { version = "0.5", default-features = false }
-simba          = { version = "0.7", default-features = false }
+simba          = { version = "0.8", default-features = false }
 alga           = { version = "0.9", default-features = false, optional = true }
 rand_distr     = { version = "0.4", default-features = false, optional = true }
 matrixmultiply = { version = "0.3", optional = true }
 serde          = { version = "1.0", default-features = false, features = [ "derive" ], optional = true }
-rkyv           = { version = "~0.7.1", optional = true }
+rkyv           = { version = "0.7", default-features = false, optional = true }
 bytecheck      = { version = "~0.6.1", optional = true }
 mint           = { version = "0.5", optional = true }
 quickcheck     = { version = "1", optional = true }
@@ -97,14 +100,15 @@ glam018        = { package = "glam", version = "0.18", optional = true }
 glam019        = { package = "glam", version = "0.19", optional = true }
 glam020        = { package = "glam", version = "0.20", optional = true }
 glam021        = { package = "glam", version = "0.21", optional = true }
+glam022        = { package = "glam", version = "0.22", optional = true }
 cust_core      = { version = "0.1", optional = true }
-
+rayon          = { version = "1.6", optional = true }
 
 [dev-dependencies]
 serde_json = "1.0"
 rand_xorshift = "0.3"
 rand_isaac = "0.3"
-criterion = { version = "0.3", features = ["html_reports"] }
+criterion = { version = "0.4", features = ["html_reports"] }
 
 # For matrix comparison macro
 matrixcompare = "0.3.0"
@@ -134,4 +138,5 @@ lto = true
 [package.metadata.docs.rs]
 # Enable all the features when building the docs on docs.rs
 all-features = true
-
+# define the configuration attribute `docsrs`
+rustdoc-args = ["--cfg", "docsrs"]

benches/core/matrix.rs

@@ -53,7 +53,7 @@ fn mat_div_scalar(b: &mut criterion::Criterion) {
     b.bench_function("mat_div_scalar", move |bh| {
         bh.iter(|| {
             let mut aa = a.clone();
-            let mut b = aa.slice_mut((0, 0), (1000, 1000));
+            let mut b = aa.view_mut((0, 0), (1000, 1000));
             b /= n
         })
     });

examples/cargo/Cargo.toml

@@ -4,7 +4,7 @@ version = "0.0.0"
 authors = [ "You" ]
 
 [dependencies]
-nalgebra = "0.31.0"
+nalgebra = "0.32.0"
 
 [[bin]]
 name = "example"

examples/reshaping.rs

@@ -2,7 +2,7 @@
 
 extern crate nalgebra as na;
 
-use na::{DMatrix, Dynamic, Matrix2x3, Matrix3x2, Const};
+use na::{DMatrix, Dyn, Matrix2x3, Matrix3x2, Const};
 
 fn main() {
     // Matrices can be reshaped in-place without moving or copying values.
@@ -46,9 +46,9 @@ fn main() {
         ],
     );
 
-    let dm3 = dm1.reshape_generic(Dynamic::new(6), Dynamic::new(2));
+    let dm3 = dm1.reshape_generic(Dyn(6), Dyn(2));
     assert_eq!(dm3, dm2);
 
     // Invalid reshapings of dynamic matrices will panic at run-time.
-    //let dm4 = dm3.reshape_generic(Dynamic::new(6), Dynamic::new(6));
+    //let dm4 = dm3.reshape_generic(Dyn(6), Dyn(6));
 }

nalgebra-glm/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "nalgebra-glm"
-version = "0.17.0"
+version = "0.18.0"
 authors = ["sebcrozet <developer@crozet.re>"]
 
 description = "A computer-graphics oriented API for nalgebra, inspired by the C++ GLM library."
@@ -35,5 +35,5 @@ convert-glam018 = [ "nalgebra/glam018" ]
 [dependencies]
 num-traits = { version = "0.2", default-features = false }
 approx = { version = "0.5", default-features = false }
-simba = { version = "0.7", default-features = false }
+simba = { version = "0.8", default-features = false }
-nalgebra = { path =  "..", version = "0.31", default-features = false }
+nalgebra = { path =  "..", version = "0.32", default-features = false }

nalgebra-glm/src/gtx/quaternion.rs

@@ -93,6 +93,6 @@ pub fn mat3_to_quat<T: RealNumber>(x: &TMat3<T>) -> Qua<T> {
 
 /// Converts a rotation matrix in homogeneous coordinates to a quaternion.
 pub fn to_quat<T: RealNumber>(x: &TMat4<T>) -> Qua<T> {
-    let rot = x.fixed_slice::<3, 3>(0, 0).into_owned();
+    let rot = x.fixed_view::<3, 3>(0, 0).into_owned();
     mat3_to_quat(&rot)
 }

nalgebra-glm/src/gtx/transform2.rs

@@ -7,7 +7,7 @@ pub fn proj2d<T: Number>(m: &TMat3<T>, normal: &TVec2<T>) -> TMat3<T> {
     let mut res = TMat3::identity();
 
     {
-        let mut part = res.fixed_slice_mut::<2, 2>(0, 0);
+        let mut part = res.fixed_view_mut::<2, 2>(0, 0);
         part -= normal * normal.transpose();
     }
 
@@ -19,7 +19,7 @@ pub fn proj<T: Number>(m: &TMat4<T>, normal: &TVec3<T>) -> TMat4<T> {
     let mut res = TMat4::identity();
 
     {
-        let mut part = res.fixed_slice_mut::<3, 3>(0, 0);
+        let mut part = res.fixed_view_mut::<3, 3>(0, 0);
         part -= normal * normal.transpose();
     }
 
@@ -31,7 +31,7 @@ pub fn reflect2d<T: RealNumber>(m: &TMat3<T>, normal: &TVec2<T>) -> TMat3<T> {
     let mut res = TMat3::identity();
 
     {
-        let mut part = res.fixed_slice_mut::<2, 2>(0, 0);
+        let mut part = res.fixed_view_mut::<2, 2>(0, 0);
         part -= (normal * T::from_subset(&2.0)) * normal.transpose();
     }
 
@@ -43,7 +43,7 @@ pub fn reflect<T: RealNumber>(m: &TMat4<T>, normal: &TVec3<T>) -> TMat4<T> {
     let mut res = TMat4::identity();
 
     {
-        let mut part = res.fixed_slice_mut::<3, 3>(0, 0);
+        let mut part = res.fixed_view_mut::<3, 3>(0, 0);
         part -= (normal * T::from_subset(&2.0)) * normal.transpose();
     }
 

nalgebra-lapack/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name    = "nalgebra-lapack"
-version = "0.22.0"
+version = "0.24.0"
 authors = [ "Sébastien Crozet <developer@crozet.re>", "Andrew Straw <strawman@astraw.com>" ]
 
 description   = "Matrix decompositions using nalgebra matrices and Lapack bindings."
@@ -29,18 +29,19 @@ accelerate = ["lapack-src/accelerate"]
 intel-mkl  = ["lapack-src/intel-mkl"]
 
 [dependencies]
-nalgebra      = { version = "0.31", path = ".." }
+nalgebra      = { version = "0.32", path = ".." }
 num-traits    = "0.2"
 num-complex   = { version = "0.4", default-features = false }
-simba         = "0.7"
+simba         = "0.8"
 serde         = { version = "1.0", features = [ "derive" ], optional = true }
 lapack        = { version = "0.19", default-features = false }
 lapack-src    = { version = "0.8", default-features = false }
 # clippy = "*"
 
 [dev-dependencies]
-nalgebra   = { version = "0.31", features = [ "arbitrary", "rand" ], path = ".." }
+nalgebra   = { version = "0.32", features = [ "arbitrary", "rand" ], path = ".." }
 proptest   = { version = "1", default-features = false, features = ["std"] }
 quickcheck = "1"
 approx     = "0.5"
 rand       = "0.8"
+

nalgebra-lapack/src/eigen.rs

@@ -7,13 +7,12 @@ use num_complex::Complex;
 use simba::scalar::RealField;
 
 use crate::ComplexHelper;
-use na::allocator::Allocator;
 use na::dimension::{Const, Dim};
-use na::{DefaultAllocator, Matrix, OMatrix, OVector, Scalar};
+use na::{allocator::Allocator, DefaultAllocator, Matrix, OMatrix, OVector, Scalar};
 
 use lapack;
 
-/// Eigendecomposition of a real square matrix with real eigenvalues.
+/// Eigendecomposition of a real square matrix with real or complex eigenvalues.
 #[cfg_attr(feature = "serde-serialize", derive(Serialize, Deserialize))]
 #[cfg_attr(
     feature = "serde-serialize",
@@ -36,8 +35,10 @@ pub struct Eigen<T: Scalar, D: Dim>
 where
     DefaultAllocator: Allocator<T, D> + Allocator<T, D, D>,
 {
-    /// The eigenvalues of the decomposed matrix.
+    /// The real parts of eigenvalues of the decomposed matrix.
-    pub eigenvalues: OVector<T, D>,
+    pub eigenvalues_re: OVector<T, D>,
+    /// The imaginary parts of the eigenvalues of the decomposed matrix.
+    pub eigenvalues_im: OVector<T, D>,
     /// The (right) eigenvectors of the decomposed matrix.
     pub eigenvectors: Option<OMatrix<T, D, D>>,
     /// The left eigenvectors of the decomposed matrix.
@@ -69,8 +70,8 @@ where
             "Unable to compute the eigenvalue decomposition of a non-square matrix."
         );
 
-        let ljob = if left_eigenvectors { b'V' } else { b'T' };
+        let ljob = if left_eigenvectors { b'V' } else { b'N' };
-        let rjob = if eigenvectors { b'V' } else { b'T' };
+        let rjob = if eigenvectors { b'V' } else { b'N' };
 
         let (nrows, ncols) = m.shape_generic();
         let n = nrows.value();
@@ -104,213 +105,232 @@ where
         lapack_check!(info);
 
         let mut work = vec![T::zero(); lwork as usize];
+        let mut vl = if left_eigenvectors {
+            Some(Matrix::zeros_generic(nrows, ncols))
+        } else {
+            None
+        };
+        let mut vr = if eigenvectors {
+            Some(Matrix::zeros_generic(nrows, ncols))
+        } else {
+            None
+        };
 
-        match (left_eigenvectors, eigenvectors) {
+        let vl_ref = vl
-            (true, true) => {
+            .as_mut()
-                // TODO: avoid the initializations?
+            .map(|m| m.as_mut_slice())
-                let mut vl = Matrix::zeros_generic(nrows, ncols);
+            .unwrap_or(&mut placeholder1);
-                let mut vr = Matrix::zeros_generic(nrows, ncols);
+        let vr_ref = vr
-
+            .as_mut()
-                T::xgeev(
+            .map(|m| m.as_mut_slice())
-                    ljob,
+            .unwrap_or(&mut placeholder2);
-                    rjob,
-                    n as i32,
-                    m.as_mut_slice(),
-                    lda,
-                    wr.as_mut_slice(),
-                    wi.as_mut_slice(),
-                    &mut vl.as_mut_slice(),
-                    n as i32,
-                    &mut vr.as_mut_slice(),
-                    n as i32,
-                    &mut work,
-                    lwork,
-                    &mut info,
-                );
-                lapack_check!(info);
-
-                if wi.iter().all(|e| e.is_zero()) {
-                    return Some(Self {
-                        eigenvalues: wr,
-                        left_eigenvectors: Some(vl),
-                        eigenvectors: Some(vr),
-                    });
-                }
-            }
-            (true, false) => {
-                // TODO: avoid the initialization?
-                let mut vl = Matrix::zeros_generic(nrows, ncols);
-
-                T::xgeev(
-                    ljob,
-                    rjob,
-                    n as i32,
-                    m.as_mut_slice(),
-                    lda,
-                    wr.as_mut_slice(),
-                    wi.as_mut_slice(),
-                    &mut vl.as_mut_slice(),
-                    n as i32,
-                    &mut placeholder2,
-                    1 as i32,
-                    &mut work,
-                    lwork,
-                    &mut info,
-                );
-                lapack_check!(info);
-
-                if wi.iter().all(|e| e.is_zero()) {
-                    return Some(Self {
-                        eigenvalues: wr,
-                        left_eigenvectors: Some(vl),
-                        eigenvectors: None,
-                    });
-                }
-            }
-            (false, true) => {
-                // TODO: avoid the initialization?
-                let mut vr = Matrix::zeros_generic(nrows, ncols);
-
-                T::xgeev(
-                    ljob,
-                    rjob,
-                    n as i32,
-                    m.as_mut_slice(),
-                    lda,
-                    wr.as_mut_slice(),
-                    wi.as_mut_slice(),
-                    &mut placeholder1,
-                    1 as i32,
-                    &mut vr.as_mut_slice(),
-                    n as i32,
-                    &mut work,
-                    lwork,
-                    &mut info,
-                );
-                lapack_check!(info);
-
-                if wi.iter().all(|e| e.is_zero()) {
-                    return Some(Self {
-                        eigenvalues: wr,
-                        left_eigenvectors: None,
-                        eigenvectors: Some(vr),
-                    });
-                }
-            }
-            (false, false) => {
-                T::xgeev(
-                    ljob,
-                    rjob,
-                    n as i32,
-                    m.as_mut_slice(),
-                    lda,
-                    wr.as_mut_slice(),
-                    wi.as_mut_slice(),
-                    &mut placeholder1,
-                    1 as i32,
-                    &mut placeholder2,
-                    1 as i32,
-                    &mut work,
-                    lwork,
-                    &mut info,
-                );
-                lapack_check!(info);
-
-                if wi.iter().all(|e| e.is_zero()) {
-                    return Some(Self {
-                        eigenvalues: wr,
-                        left_eigenvectors: None,
-                        eigenvectors: None,
-                    });
-                }
-            }
-        }
-
-        None
-    }
-
-    /// The complex eigenvalues of the given matrix.
-    ///
-    /// Panics if the eigenvalue computation does not converge.
-    pub fn complex_eigenvalues(mut m: OMatrix<T, D, D>) -> OVector<Complex<T>, D>
-    where
-        DefaultAllocator: Allocator<Complex<T>, D>,
-    {
-        assert!(
-            m.is_square(),
-            "Unable to compute the eigenvalue decomposition of a non-square matrix."
-        );
-
-        let nrows = m.shape_generic().0;
-        let n = nrows.value();
-
-        let lda = n as i32;
-
-        // TODO: avoid the initialization?
-        let mut wr = Matrix::zeros_generic(nrows, Const::<1>);
-        let mut wi = Matrix::zeros_generic(nrows, Const::<1>);
-
-        let mut info = 0;
-        let mut placeholder1 = [T::zero()];
-        let mut placeholder2 = [T::zero()];
-
-        let lwork = T::xgeev_work_size(
-            b'T',
-            b'T',
-            n as i32,
-            m.as_mut_slice(),
-            lda,
-            wr.as_mut_slice(),
-            wi.as_mut_slice(),
-            &mut placeholder1,
-            n as i32,
-            &mut placeholder2,
-            n as i32,
-            &mut info,
-        );
-
-        lapack_panic!(info);
-
-        let mut work = vec![T::zero(); lwork as usize];
 
         T::xgeev(
-            b'T',
+            ljob,
-            b'T',
+            rjob,
             n as i32,
             m.as_mut_slice(),
             lda,
             wr.as_mut_slice(),
             wi.as_mut_slice(),
-            &mut placeholder1,
+            vl_ref,
-            1 as i32,
+            if left_eigenvectors { n as i32 } else { 1 },
-            &mut placeholder2,
+            vr_ref,
-            1 as i32,
+            if eigenvectors { n as i32 } else { 1 },
             &mut work,
             lwork,
             &mut info,
         );
-        lapack_panic!(info);
+        lapack_check!(info);
 
-        let mut res = Matrix::zeros_generic(nrows, Const::<1>);
+        Some(Self {
+            eigenvalues_re: wr,
+            eigenvalues_im: wi,
+            left_eigenvectors: vl,
+            eigenvectors: vr,
+        })
+    }
 
-        for i in 0..res.len() {
+    /// Returns `true` if all the eigenvalues are real.
-            res[i] = Complex::new(wr[i].clone(), wi[i].clone());
+    pub fn eigenvalues_are_real(&self) -> bool {
-        }
+        self.eigenvalues_im.iter().all(|e| e.is_zero())
-
-        res
     }
 
     /// The determinant of the decomposed matrix.
     #[inline]
     #[must_use]
-    pub fn determinant(&self) -> T {
+    pub fn determinant(&self) -> Complex<T> {
-        let mut det = T::one();
+        let mut det: Complex<T> = na::one();
-        for e in self.eigenvalues.iter() {
+        for (re, im) in self.eigenvalues_re.iter().zip(self.eigenvalues_im.iter()) {
-            det *= e.clone();
+            det *= Complex::new(re.clone(), im.clone());
         }
 
         det
     }
+
+    /// Returns a tuple of vectors. The elements of the tuple are the real parts of the eigenvalues, left eigenvectors and right eigenvectors respectively.
+    pub fn get_real_elements(
+        &self,
+    ) -> (
+        Vec<T>,
+        Option<Vec<OVector<T, D>>>,
+        Option<Vec<OVector<T, D>>>,
+    )
+    where
+        DefaultAllocator: Allocator<T, D>,
+    {
+        let (number_of_elements, _) = self.eigenvalues_re.shape_generic();
+        let number_of_elements_value = number_of_elements.value();
+        let mut eigenvalues = Vec::<T>::with_capacity(number_of_elements_value);
+        let mut eigenvectors = match self.eigenvectors.is_some() {
+            true => Some(Vec::<OVector<T, D>>::with_capacity(
+                number_of_elements_value,
+            )),
+            false => None,
+        };
+        let mut left_eigenvectors = match self.left_eigenvectors.is_some() {
+            true => Some(Vec::<OVector<T, D>>::with_capacity(
+                number_of_elements_value,
+            )),
+            false => None,
+        };
+
+        let mut c = 0;
+        while c < number_of_elements_value {
+            eigenvalues.push(self.eigenvalues_re[c].clone());
+
+            if eigenvectors.is_some() {
+                eigenvectors.as_mut().unwrap().push(
+                    (&self.eigenvectors.as_ref())
+                        .unwrap()
+                        .column(c)
+                        .into_owned(),
+                );
+            }
+
+            if left_eigenvectors.is_some() {
+                left_eigenvectors.as_mut().unwrap().push(
+                    (&self.left_eigenvectors.as_ref())
+                        .unwrap()
+                        .column(c)
+                        .into_owned(),
+                );
+            }
+            if self.eigenvalues_im[c] != T::zero() {
+                //skip next entry
+                c += 1;
+            }
+            c += 1;
+        }
+        (eigenvalues, left_eigenvectors, eigenvectors)
+    }
+
+    /// Returns a tuple of vectors. The elements of the tuple are the complex eigenvalues, complex left eigenvectors and complex right eigenvectors respectively.
+    /// The elements appear as conjugate pairs within each vector, with the positive of the pair always being first.
+    pub fn get_complex_elements(
+        &self,
+    ) -> (
+        Option<Vec<Complex<T>>>,
+        Option<Vec<OVector<Complex<T>, D>>>,
+        Option<Vec<OVector<Complex<T>, D>>>,
+    )
+    where
+        DefaultAllocator: Allocator<Complex<T>, D>,
+    {
+        match self.eigenvalues_are_real() {
+            true => (None, None, None),
+            false => {
+                let (number_of_elements, _) = self.eigenvalues_re.shape_generic();
+                let number_of_elements_value = number_of_elements.value();
+                let number_of_complex_entries =
+                    self.eigenvalues_im
+                        .iter()
+                        .fold(0, |acc, e| if !e.is_zero() { acc + 1 } else { acc });
+                let mut eigenvalues = Vec::<Complex<T>>::with_capacity(number_of_complex_entries);
+                let mut eigenvectors = match self.eigenvectors.is_some() {
+                    true => Some(Vec::<OVector<Complex<T>, D>>::with_capacity(
+                        number_of_complex_entries,
+                    )),
+                    false => None,
+                };
+                let mut left_eigenvectors = match self.left_eigenvectors.is_some() {
+                    true => Some(Vec::<OVector<Complex<T>, D>>::with_capacity(
+                        number_of_complex_entries,
+                    )),
+                    false => None,
+                };
+
+                let mut c = 0;
+                while c < number_of_elements_value {
+                    if self.eigenvalues_im[c] != T::zero() {
+                        //Complex conjugate pairs of eigenvalues appear consecutively with the eigenvalue having the positive imaginary part first.
+                        eigenvalues.push(Complex::<T>::new(
+                            self.eigenvalues_re[c].clone(),
+                            self.eigenvalues_im[c].clone(),
+                        ));
+                        eigenvalues.push(Complex::<T>::new(
+                            self.eigenvalues_re[c + 1].clone(),
+                            self.eigenvalues_im[c + 1].clone(),
+                        ));
+
+                        if eigenvectors.is_some() {
+                            let mut vec = OVector::<Complex<T>, D>::zeros_generic(
+                                number_of_elements,
+                                Const::<1>,
+                            );
+                            let mut vec_conj = OVector::<Complex<T>, D>::zeros_generic(
+                                number_of_elements,
+                                Const::<1>,
+                            );
+
+                            for r in 0..number_of_elements_value {
+                                vec[r] = Complex::<T>::new(
+                                    (&self.eigenvectors.as_ref()).unwrap()[(r, c)].clone(),
+                                    (&self.eigenvectors.as_ref()).unwrap()[(r, c + 1)].clone(),
+                                );
+                                vec_conj[r] = Complex::<T>::new(
+                                    (&self.eigenvectors.as_ref()).unwrap()[(r, c)].clone(),
+                                    (&self.eigenvectors.as_ref()).unwrap()[(r, c + 1)].clone(),
+                                );
+                            }
+
+                            eigenvectors.as_mut().unwrap().push(vec);
+                            eigenvectors.as_mut().unwrap().push(vec_conj);
+                        }
+
+                        if left_eigenvectors.is_some() {
+                            let mut vec = OVector::<Complex<T>, D>::zeros_generic(
+                                number_of_elements,
+                                Const::<1>,
+                            );
+                            let mut vec_conj = OVector::<Complex<T>, D>::zeros_generic(
+                                number_of_elements,
+                                Const::<1>,
+                            );
+
+                            for r in 0..number_of_elements_value {
+                                vec[r] = Complex::<T>::new(
+                                    (&self.left_eigenvectors.as_ref()).unwrap()[(r, c)].clone(),
+                                    (&self.left_eigenvectors.as_ref()).unwrap()[(r, c + 1)].clone(),
+                                );
+                                vec_conj[r] = Complex::<T>::new(
+                                    (&self.left_eigenvectors.as_ref()).unwrap()[(r, c)].clone(),
+                                    (&self.left_eigenvectors.as_ref()).unwrap()[(r, c + 1)].clone(),
+                                );
+                            }
+
+                            left_eigenvectors.as_mut().unwrap().push(vec);
+                            left_eigenvectors.as_mut().unwrap().push(vec_conj);
+                        }
+                        //skip next entry
+                        c += 1;
+                    }
+                    c += 1;
+                }
+                (Some(eigenvalues), left_eigenvectors, eigenvectors)
+            }
+        }
+    }
 }
 
 /*

nalgebra-lapack/src/qr.rs

@@ -126,7 +126,7 @@ where
 
         let mut q = self
             .qr
-            .generic_slice((0, 0), (nrows, min_nrows_ncols))
+            .generic_view((0, 0), (nrows, min_nrows_ncols))
             .into_owned();
 
         let mut info = 0;

nalgebra-lapack/src/svd.rs

@@ -157,7 +157,7 @@ macro_rules! svd_impl(
                 let mut res: OMatrix<_, R, C> = Matrix::zeros_generic(nrows, ncols);
 
                 {
-                    let mut sres = res.generic_slice_mut((0, 0), (min_nrows_ncols, ncols));
+                    let mut sres = res.generic_view_mut((0, 0), (min_nrows_ncols, ncols));
                     sres.copy_from(&self.vt.rows_generic(0, min_nrows_ncols));
 
                     for i in 0 .. min_nrows_ncols.value() {
@@ -183,7 +183,7 @@ macro_rules! svd_impl(
                 let mut res: OMatrix<_, C, R> = Matrix::zeros_generic(ncols, nrows);
 
                 {
-                    let mut sres = res.generic_slice_mut((0, 0), (min_nrows_ncols, nrows));
+                    let mut sres = res.generic_view_mut((0, 0), (min_nrows_ncols, nrows));
                     self.u.columns_generic(0, min_nrows_ncols).transpose_to(&mut sres);
 
                     for i in 0 .. min_nrows_ncols.value() {

nalgebra-lapack/tests/linalg/cholesky.rs

@@ -58,8 +58,8 @@ proptest! {
             let sol1 = chol.solve(&b1).unwrap();
             let sol2 = chol.solve(&b2).unwrap();
 
-            prop_assert!(relative_eq!(m * sol1, b1, epsilon = 1.0e-7));
+            prop_assert!(relative_eq!(m * sol1, b1, epsilon = 1.0e-4));
-            prop_assert!(relative_eq!(m * sol2, b2, epsilon = 1.0e-7));
+            prop_assert!(relative_eq!(m * sol2, b2, epsilon = 1.0e-4));
         }
     }
 
@@ -84,7 +84,7 @@ proptest! {
             let id1 = &m  * &m1;
             let id2 = &m1 * &m;
 
-            prop_assert!(id1.is_identity(1.0e-5) && id2.is_identity(1.0e-5))
+            prop_assert!(id1.is_identity(1.0e-4) && id2.is_identity(1.0e-4))
         }
     }
 }

nalgebra-lapack/tests/linalg/complex_eigen.rs

@@ -0,0 +1,47 @@
+use na::Matrix3;
+use nalgebra_lapack::Eigen;
+use num_complex::Complex;
+
+#[test]
+fn complex_eigen() {
+    let m = Matrix3::<f64>::new(
+        4.0 / 5.0,
+        -3.0 / 5.0,
+        0.0,
+        3.0 / 5.0,
+        4.0 / 5.0,
+        0.0,
+        1.0,
+        2.0,
+        2.0,
+    );
+    let eigen = Eigen::new(m, true, true).expect("Eigen Creation Failed!");
+    let (some_eigenvalues, some_left_vec, some_right_vec) = eigen.get_complex_elements();
+    let eigenvalues = some_eigenvalues.expect("Eigenvalues Failed");
+    let _left_eigenvectors = some_left_vec.expect("Left Eigenvectors Failed");
+    let eigenvectors = some_right_vec.expect("Right Eigenvectors Failed");
+
+    assert_relative_eq!(
+        eigenvalues[0].re,
+        Complex::<f64>::new(4.0 / 5.0, 3.0 / 5.0).re
+    );
+    assert_relative_eq!(
+        eigenvalues[0].im,
+        Complex::<f64>::new(4.0 / 5.0, 3.0 / 5.0).im
+    );
+    assert_relative_eq!(
+        eigenvalues[1].re,
+        Complex::<f64>::new(4.0 / 5.0, -3.0 / 5.0).re
+    );
+    assert_relative_eq!(
+        eigenvalues[1].im,
+        Complex::<f64>::new(4.0 / 5.0, -3.0 / 5.0).im
+    );
+
+    assert_relative_eq!(eigenvectors[0][0].re, -12.0 / 32.7871926215100059134410999);
+    assert_relative_eq!(eigenvectors[0][0].im, -9.0 / 32.7871926215100059134410999);
+    assert_relative_eq!(eigenvectors[0][1].re, -9.0 / 32.7871926215100059134410999);
+    assert_relative_eq!(eigenvectors[0][1].im, 12.0 / 32.7871926215100059134410999);
+    assert_relative_eq!(eigenvectors[0][2].re, 25.0 / 32.7871926215100059134410999);
+    assert_relative_eq!(eigenvectors[0][2].im, 0.0);
+}

nalgebra-lapack/tests/linalg/lu.rs

@@ -51,10 +51,10 @@ proptest! {
         let tr_sol1 = lup.solve_transpose(&b1).unwrap();
         let tr_sol2 = lup.solve_transpose(&b2).unwrap();
 
-        prop_assert!(relative_eq!(&m * sol1, b1, epsilon = 1.0e-7));
+        prop_assert!(relative_eq!(&m * sol1, b1, epsilon = 1.0e-5));
-        prop_assert!(relative_eq!(&m * sol2, b2, epsilon = 1.0e-7));
+        prop_assert!(relative_eq!(&m * sol2, b2, epsilon = 1.0e-5));
-        prop_assert!(relative_eq!(m.transpose() * tr_sol1, b1, epsilon = 1.0e-7));
+        prop_assert!(relative_eq!(m.transpose() * tr_sol1, b1, epsilon = 1.0e-5));
-        prop_assert!(relative_eq!(m.transpose() * tr_sol2, b2, epsilon = 1.0e-7));
+        prop_assert!(relative_eq!(m.transpose() * tr_sol2, b2, epsilon = 1.0e-5));
     }
 
     #[test]
@@ -68,10 +68,10 @@ proptest! {
         let tr_sol1 = lup.solve_transpose(&b1).unwrap();
         let tr_sol2 = lup.solve_transpose(&b2).unwrap();
 
-        prop_assert!(relative_eq!(m * sol1, b1, epsilon = 1.0e-7));
+        prop_assert!(relative_eq!(m * sol1, b1, epsilon = 1.0e-5));
-        prop_assert!(relative_eq!(m * sol2, b2, epsilon = 1.0e-7));
+        prop_assert!(relative_eq!(m * sol2, b2, epsilon = 1.0e-5));
-        prop_assert!(relative_eq!(m.transpose() * tr_sol1, b1, epsilon = 1.0e-7));
+        prop_assert!(relative_eq!(m.transpose() * tr_sol1, b1, epsilon = 1.0e-5));
-        prop_assert!(relative_eq!(m.transpose() * tr_sol2, b2, epsilon = 1.0e-7));
+        prop_assert!(relative_eq!(m.transpose() * tr_sol2, b2, epsilon = 1.0e-5));
     }
 
     #[test]

nalgebra-lapack/tests/linalg/mod.rs

@@ -1,4 +1,5 @@
 mod cholesky;
+mod complex_eigen;
 mod generalized_eigenvalues;
 mod lu;
 mod qr;

nalgebra-lapack/tests/linalg/real_eigensystem.rs

@@ -13,30 +13,36 @@ proptest! {
         let m = DMatrix::<f64>::new_random(n, n);
 
         if let Some(eig) = Eigen::new(m.clone(), true, true) {
-            let eigvals                = DMatrix::from_diagonal(&eig.eigenvalues);
+            // TODO: test the complex case too.
-            let transformed_eigvectors = &m * eig.eigenvectors.as_ref().unwrap();
+            if eig.eigenvalues_are_real() {
-            let scaled_eigvectors      = eig.eigenvectors.as_ref().unwrap() * &eigvals;
+                let eigvals                = DMatrix::from_diagonal(&eig.eigenvalues_re);
+                let transformed_eigvectors = &m * eig.eigenvectors.as_ref().unwrap();
+                let scaled_eigvectors      = eig.eigenvectors.as_ref().unwrap() * &eigvals;
 
-            let transformed_left_eigvectors = m.transpose() * eig.left_eigenvectors.as_ref().unwrap();
+                let transformed_left_eigvectors = m.transpose() * eig.left_eigenvectors.as_ref().unwrap();
-            let scaled_left_eigvectors      = eig.left_eigenvectors.as_ref().unwrap() * &eigvals;
+                let scaled_left_eigvectors      = eig.left_eigenvectors.as_ref().unwrap() * &eigvals;
 
-            prop_assert!(relative_eq!(transformed_eigvectors, scaled_eigvectors, epsilon = 1.0e-7));
+                prop_assert!(relative_eq!(transformed_eigvectors, scaled_eigvectors, epsilon = 1.0e-5));
-            prop_assert!(relative_eq!(transformed_left_eigvectors, scaled_left_eigvectors, epsilon = 1.0e-7));
+                prop_assert!(relative_eq!(transformed_left_eigvectors, scaled_left_eigvectors, epsilon = 1.0e-5));
+            }
         }
     }
 
     #[test]
     fn eigensystem_static(m in matrix4()) {
         if let Some(eig) = Eigen::new(m, true, true) {
-            let eigvals                = Matrix4::from_diagonal(&eig.eigenvalues);
+            // TODO: test the complex case too.
-            let transformed_eigvectors = m * eig.eigenvectors.unwrap();
+            if eig.eigenvalues_are_real() {
-            let scaled_eigvectors      = eig.eigenvectors.unwrap() * eigvals;
+                let eigvals                = Matrix4::from_diagonal(&eig.eigenvalues_re);
+                let transformed_eigvectors = m * eig.eigenvectors.unwrap();
+                let scaled_eigvectors      = eig.eigenvectors.unwrap() * eigvals;
 
-            let transformed_left_eigvectors = m.transpose() * eig.left_eigenvectors.unwrap();
+                let transformed_left_eigvectors = m.transpose() * eig.left_eigenvectors.unwrap();
-            let scaled_left_eigvectors      = eig.left_eigenvectors.unwrap() * eigvals;
+                let scaled_left_eigvectors      = eig.left_eigenvectors.unwrap() * eigvals;
 
-            prop_assert!(relative_eq!(transformed_eigvectors, scaled_eigvectors, epsilon = 1.0e-7));
+                prop_assert!(relative_eq!(transformed_eigvectors, scaled_eigvectors, epsilon = 1.0e-5));
-            prop_assert!(relative_eq!(transformed_left_eigvectors, scaled_left_eigvectors, epsilon = 1.0e-7));
+                prop_assert!(relative_eq!(transformed_left_eigvectors, scaled_left_eigvectors, epsilon = 1.0e-5));
+            }
         }
     }
 }

nalgebra-lapack/tests/linalg/schur.rs

@@ -11,14 +11,17 @@ proptest! {
         let n = cmp::max(1, cmp::min(n, 10));
         let m = DMatrix::<f64>::new_random(n, n);
 
-        let (vecs, vals) = Schur::new(m.clone()).unpack();
+        if let Some(schur) = Schur::try_new(m.clone()) {
-
+            let (vecs, vals) = schur.unpack();
-        prop_assert!(relative_eq!(&vecs * vals * vecs.transpose(), m, epsilon = 1.0e-7))
+            prop_assert!(relative_eq!(&vecs * vals * vecs.transpose(), m, epsilon = 1.0e-5))
+        }
     }
 
     #[test]
     fn schur_static(m in matrix4()) {
-        let (vecs, vals) = Schur::new(m.clone()).unpack();
+        if let Some(schur) = Schur::try_new(m.clone()) {
-        prop_assert!(relative_eq!(vecs * vals * vecs.transpose(), m, epsilon = 1.0e-7))
+            let (vecs, vals) = schur.unpack();
+            prop_assert!(relative_eq!(vecs * vals * vecs.transpose(), m, epsilon = 1.0e-5))
+        }
     }
 }

nalgebra-macros/Cargo.toml

@@ -21,5 +21,5 @@ quote = "1.0"
 proc-macro2 = "1.0"
 
 [dev-dependencies]
-nalgebra = { version = "0.31.0", path = ".." }
+nalgebra = { version = "0.32.0", path = ".." }
 trybuild = "1.0.42"

nalgebra-macros/src/lib.rs

@@ -191,8 +191,8 @@ pub fn dmatrix(stream: TokenStream) -> TokenStream {
     let output = quote! {
         nalgebra::DMatrix::<_>
             ::from_vec_storage(nalgebra::VecStorage::new(
-                nalgebra::Dynamic::new(#row_dim),
+                nalgebra::Dyn(#row_dim),
-                nalgebra::Dynamic::new(#col_dim),
+                nalgebra::Dyn(#col_dim),
                 vec!#array_tokens))
     };
 
@@ -285,7 +285,7 @@ pub fn dvector(stream: TokenStream) -> TokenStream {
     let output = quote! {
         nalgebra::DVector::<_>
             ::from_vec_storage(nalgebra::VecStorage::new(
-                nalgebra::Dynamic::new(#len),
+                nalgebra::Dyn(#len),
                 nalgebra::Const::<1>,
                 vec!#array_tokens))
     };

nalgebra-sparse/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "nalgebra-sparse"
-version = "0.7.1"
+version = "0.9.0"
 authors = [ "Andreas Longva", "Sébastien Crozet <developer@crozet.re>" ]
 edition = "2018"
 description = "Sparse matrix computation based on nalgebra."
@@ -24,7 +24,7 @@ io      = [ "pest", "pest_derive" ]
 slow-tests = []
 
 [dependencies]
-nalgebra = { version="0.31", path = "../" }
+nalgebra = { version="0.32", path = "../" }
 num-traits = { version = "0.2", default-features = false }
 proptest = { version = "1.0", optional = true }
 matrixcompare-core = { version = "0.1.0", optional = true }
@@ -35,7 +35,7 @@ serde = { version = "1.0", default-features = false, features = [ "derive" ], op
 [dev-dependencies]
 itertools = "0.10"
 matrixcompare = { version = "0.3.0", features = [ "proptest-support" ] }
-nalgebra = { version="0.31", path = "../", features = ["compare"] }
+nalgebra = { version="0.32", path = "../", features = ["compare"] }
 tempfile = "3.3"
 serde_json = "1.0"
 

nalgebra-sparse/src/coo.rs

@@ -170,6 +170,16 @@ impl<T> CooMatrix<T> {
             .map(|((i, j), v)| (*i, *j, v))
     }
 
+    /// A mutable iterator over triplets (i, j, v).
+    // TODO: Consider giving the iterator a concrete type instead of impl trait...?
+    pub fn triplet_iter_mut(&mut self) -> impl Iterator<Item = (usize, usize, &mut T)> {
+        self.row_indices
+            .iter()
+            .zip(&self.col_indices)
+            .zip(self.values.iter_mut())
+            .map(|((i, j), v)| (*i, *j, v))
+    }
+
     /// Reserves capacity for COO matrix by at least `additional` elements.
     ///
     /// This increase the capacities of triplet holding arrays by reserving more space to avoid

nalgebra-sparse/src/csc.rs

@@ -24,6 +24,7 @@ use std::slice::{Iter, IterMut};
 /// # Usage
 ///
 /// ```
+/// use nalgebra_sparse::coo::CooMatrix;
 /// use nalgebra_sparse::csc::CscMatrix;
 /// use nalgebra::{DMatrix, Matrix3x4};
 /// use matrixcompare::assert_matrix_eq;
@@ -32,8 +33,9 @@ use std::slice::{Iter, IterMut};
 /// // change the sparsity pattern of the matrix after it has been constructed. The easiest
 /// // way to construct a CSC matrix is to first incrementally construct a COO matrix,
 /// // and then convert it to CSC.
-/// # use nalgebra_sparse::coo::CooMatrix;
+///
-/// # let coo = CooMatrix::<f64>::new(3, 3);
+/// let mut coo = CooMatrix::<f64>::new(3, 3);
+/// coo.push(2, 0, 1.0);
 /// let csc = CscMatrix::from(&coo);
 ///
 /// // Alternatively, a CSC matrix can be constructed directly from raw CSC data.

nalgebra-sparse/src/csr.rs

@@ -25,6 +25,7 @@ use std::slice::{Iter, IterMut};
 /// # Usage
 ///
 /// ```
+/// use nalgebra_sparse::coo::CooMatrix;
 /// use nalgebra_sparse::csr::CsrMatrix;
 /// use nalgebra::{DMatrix, Matrix3x4};
 /// use matrixcompare::assert_matrix_eq;
@@ -33,8 +34,9 @@ use std::slice::{Iter, IterMut};
 /// // change the sparsity pattern of the matrix after it has been constructed. The easiest
 /// // way to construct a CSR matrix is to first incrementally construct a COO matrix,
 /// // and then convert it to CSR.
-/// # use nalgebra_sparse::coo::CooMatrix;
+///
-/// # let coo = CooMatrix::<f64>::new(3, 3);
+/// let mut coo = CooMatrix::<f64>::new(3, 3);
+/// coo.push(2, 0, 1.0);
 /// let csr = CsrMatrix::from(&coo);
 ///
 /// // Alternatively, a CSR matrix can be constructed directly from raw CSR data.

nalgebra-sparse/src/factorization/cholesky.rs

@@ -3,7 +3,7 @@ use crate::ops::serial::spsolve_csc_lower_triangular;
 use crate::ops::Op;
 use crate::pattern::SparsityPattern;
 use core::{iter, mem};
-use nalgebra::{DMatrix, DMatrixSlice, DMatrixSliceMut, RealField};
+use nalgebra::{DMatrix, DMatrixView, DMatrixViewMut, RealField};
 use std::fmt::{Display, Formatter};
 
 /// A symbolic sparse Cholesky factorization of a CSC matrix.
@@ -264,7 +264,7 @@ impl<T: RealField> CscCholesky<T> {
     ///
     /// Panics if `B` is not square.
     #[must_use = "Did you mean to use solve_mut()?"]
-    pub fn solve<'a>(&'a self, b: impl Into<DMatrixSlice<'a, T>>) -> DMatrix<T> {
+    pub fn solve<'a>(&'a self, b: impl Into<DMatrixView<'a, T>>) -> DMatrix<T> {
         let b = b.into();
         let mut output = b.clone_owned();
         self.solve_mut(&mut output);
@@ -278,7 +278,7 @@ impl<T: RealField> CscCholesky<T> {
     /// # Panics
     ///
     /// Panics if `b` is not square.
-    pub fn solve_mut<'a>(&'a self, b: impl Into<DMatrixSliceMut<'a, T>>) {
+    pub fn solve_mut<'a>(&'a self, b: impl Into<DMatrixViewMut<'a, T>>) {
         let expect_msg = "If the Cholesky factorization succeeded,\
             then the triangular solve should never fail";
         // Solve LY = B

nalgebra-sparse/src/ops/impl_std_ops.rs

@@ -10,7 +10,7 @@ use nalgebra::allocator::Allocator;
 use nalgebra::base::storage::RawStorage;
 use nalgebra::constraint::{DimEq, ShapeConstraint};
 use nalgebra::{
-    ClosedAdd, ClosedDiv, ClosedMul, ClosedSub, DefaultAllocator, Dim, Dynamic, Matrix, OMatrix,
+    ClosedAdd, ClosedDiv, ClosedMul, ClosedSub, DefaultAllocator, Dim, Dyn, Matrix, OMatrix,
     Scalar, U1,
 };
 use num_traits::{One, Zero};
@@ -273,8 +273,8 @@ macro_rules! impl_spmm_cs_dense {
         // Implement ref-ref
         impl_spmm_cs_dense!(&'a $matrix_type_name<T>, &'a Matrix<T, R, C, S>, $spmm_fn, |lhs, rhs| {
             let (_, ncols) = rhs.shape_generic();
-            let nrows = Dynamic::new(lhs.nrows());
+            let nrows = Dyn(lhs.nrows());
-            let mut result = OMatrix::<T, Dynamic, C>::zeros_generic(nrows, ncols);
+            let mut result = OMatrix::<T, Dyn, C>::zeros_generic(nrows, ncols);
             $spmm_fn(T::zero(), &mut result, T::one(), Op::NoOp(lhs), Op::NoOp(rhs));
             result
         });
@@ -302,21 +302,21 @@ macro_rules! impl_spmm_cs_dense {
             R: Dim,
             C: Dim,
             S: RawStorage<T, R, C>,
-            DefaultAllocator: Allocator<T, Dynamic, C>,
+            DefaultAllocator: Allocator<T, Dyn, C>,
             // TODO: Is it possible to simplify these bounds?
             ShapeConstraint:
-                // Bounds so that we can turn OMatrix<T, Dynamic, C> into a DMatrixSliceMut
+                // Bounds so that we can turn OMatrix<T, Dyn, C> into a DMatrixSliceMut
-                  DimEq<U1, <<DefaultAllocator as Allocator<T, Dynamic, C>>::Buffer as RawStorage<T, Dynamic, C>>::RStride>
+                  DimEq<U1, <<DefaultAllocator as Allocator<T, Dyn, C>>::Buffer as RawStorage<T, Dyn, C>>::RStride>
-                + DimEq<C, Dynamic>
+                + DimEq<C, Dyn>
-                + DimEq<Dynamic, <<DefaultAllocator as Allocator<T, Dynamic, C>>::Buffer as RawStorage<T, Dynamic, C>>::CStride>
+                + DimEq<Dyn, <<DefaultAllocator as Allocator<T, Dyn, C>>::Buffer as RawStorage<T, Dyn, C>>::CStride>
                 // Bounds so that we can turn &Matrix<T, R, C, S> into a DMatrixSlice
                 + DimEq<U1, S::RStride>
-                + DimEq<R, Dynamic>
+                + DimEq<R, Dyn>
-                + DimEq<Dynamic, S::CStride>
+                + DimEq<Dyn, S::CStride>
         {
             // We need the column dimension to be generic, so that if RHS is a vector, then
             // we also get a vector (and not a matrix)
-            type Output = OMatrix<T, Dynamic, C>;
+            type Output = OMatrix<T, Dyn, C>;
 
             fn mul(self, rhs: $dense_matrix_type) -> Self::Output {
                 let $lhs = self;

nalgebra-sparse/src/ops/serial/cs.rs

@@ -2,7 +2,7 @@ use crate::cs::CsMatrix;
 use crate::ops::serial::{OperationError, OperationErrorKind};
 use crate::ops::Op;
 use crate::SparseEntryMut;
-use nalgebra::{ClosedAdd, ClosedMul, DMatrixSlice, DMatrixSliceMut, Scalar};
+use nalgebra::{ClosedAdd, ClosedMul, DMatrixView, DMatrixViewMut, Scalar};
 use num_traits::{One, Zero};
 
 fn spmm_cs_unexpected_entry() -> OperationError {
@@ -176,10 +176,10 @@ where
 /// the transposed operation must be specified for the CSC matrix.
 pub fn spmm_cs_dense<T>(
     beta: T,
-    mut c: DMatrixSliceMut<'_, T>,
+    mut c: DMatrixViewMut<'_, T>,
     alpha: T,
     a: Op<&CsMatrix<T>>,
-    b: Op<DMatrixSlice<'_, T>>,
+    b: Op<DMatrixView<'_, T>>,
 ) where
     T: Scalar + ClosedAdd + ClosedMul + Zero + One,
 {

nalgebra-sparse/src/ops/serial/csc.rs

@@ -4,7 +4,7 @@ use crate::ops::serial::cs::{
 };
 use crate::ops::serial::{OperationError, OperationErrorKind};
 use crate::ops::Op;
-use nalgebra::{ClosedAdd, ClosedMul, DMatrixSlice, DMatrixSliceMut, RealField, Scalar};
+use nalgebra::{ClosedAdd, ClosedMul, DMatrixView, DMatrixViewMut, RealField, Scalar};
 use num_traits::{One, Zero};
 
 use std::borrow::Cow;
@@ -16,10 +16,10 @@ use std::borrow::Cow;
 /// Panics if the dimensions of the matrices involved are not compatible with the expression.
 pub fn spmm_csc_dense<'a, T>(
     beta: T,
-    c: impl Into<DMatrixSliceMut<'a, T>>,
+    c: impl Into<DMatrixViewMut<'a, T>>,
     alpha: T,
     a: Op<&CscMatrix<T>>,
-    b: Op<impl Into<DMatrixSlice<'a, T>>>,
+    b: Op<impl Into<DMatrixView<'a, T>>>,
 ) where
     T: Scalar + ClosedAdd + ClosedMul + Zero + One,
 {
@@ -29,10 +29,10 @@ pub fn spmm_csc_dense<'a, T>(
 
 fn spmm_csc_dense_<T>(
     beta: T,
-    c: DMatrixSliceMut<'_, T>,
+    c: DMatrixViewMut<'_, T>,
     alpha: T,
     a: Op<&CscMatrix<T>>,
-    b: Op<DMatrixSlice<'_, T>>,
+    b: Op<DMatrixView<'_, T>>,
 ) where
     T: Scalar + ClosedAdd + ClosedMul + Zero + One,
 {
@@ -173,7 +173,7 @@ where
 /// Panics if `L` is not square, or if `L` and `B` are not dimensionally compatible.
 pub fn spsolve_csc_lower_triangular<'a, T: RealField>(
     l: Op<&CscMatrix<T>>,
-    b: impl Into<DMatrixSliceMut<'a, T>>,
+    b: impl Into<DMatrixViewMut<'a, T>>,
 ) -> Result<(), OperationError> {
     let b = b.into();
     let l_matrix = l.into_inner();
@@ -195,7 +195,7 @@ pub fn spsolve_csc_lower_triangular<'a, T: RealField>(
 
 fn spsolve_csc_lower_triangular_no_transpose<T: RealField>(
     l: &CscMatrix<T>,
-    b: DMatrixSliceMut<'_, T>,
+    b: DMatrixViewMut<'_, T>,
 ) -> Result<(), OperationError> {
     let mut x = b;
 
@@ -253,7 +253,7 @@ fn spsolve_encountered_zero_diagonal() -> Result<(), OperationError> {
 
 fn spsolve_csc_lower_triangular_transpose<T: RealField>(
     l: &CscMatrix<T>,
-    b: DMatrixSliceMut<'_, T>,
+    b: DMatrixViewMut<'_, T>,
 ) -> Result<(), OperationError> {
     let mut x = b;
 

nalgebra-sparse/src/ops/serial/csr.rs

@@ -4,17 +4,17 @@ use crate::ops::serial::cs::{
 };
 use crate::ops::serial::OperationError;
 use crate::ops::Op;
-use nalgebra::{ClosedAdd, ClosedMul, DMatrixSlice, DMatrixSliceMut, Scalar};
+use nalgebra::{ClosedAdd, ClosedMul, DMatrixView, DMatrixViewMut, Scalar};
 use num_traits::{One, Zero};
 use std::borrow::Cow;
 
 /// Sparse-dense matrix-matrix multiplication `C <- beta * C + alpha * op(A) * op(B)`.
 pub fn spmm_csr_dense<'a, T>(
     beta: T,
-    c: impl Into<DMatrixSliceMut<'a, T>>,
+    c: impl Into<DMatrixViewMut<'a, T>>,
     alpha: T,
     a: Op<&CsrMatrix<T>>,
-    b: Op<impl Into<DMatrixSlice<'a, T>>>,
+    b: Op<impl Into<DMatrixView<'a, T>>>,
 ) where
     T: Scalar + ClosedAdd + ClosedMul + Zero + One,
 {
@@ -24,10 +24,10 @@ pub fn spmm_csr_dense<'a, T>(
 
 fn spmm_csr_dense_<T>(
     beta: T,
-    c: DMatrixSliceMut<'_, T>,
+    c: DMatrixViewMut<'_, T>,
     alpha: T,
     a: Op<&CsrMatrix<T>>,
-    b: Op<DMatrixSlice<'_, T>>,
+    b: Op<DMatrixView<'_, T>>,
 ) where
     T: Scalar + ClosedAdd + ClosedMul + Zero + One,
 {

nalgebra-sparse/tests/unit_tests/coo.rs

@@ -87,6 +87,40 @@ fn coo_construction_for_valid_data() {
     }
 }
 
+#[test]
+fn coo_triplets_iter_mut() {
+    // Arbitrary matrix, with duplicates
+    let i = vec![0, 1, 0, 0, 0, 0, 2, 1];
+    let j = vec![0, 2, 0, 1, 0, 3, 3, 2];
+    let v = vec![2, 3, 4, 7, 1, 3, 1, 5];
+    let mut coo =
+        CooMatrix::<i32>::try_from_triplets(3, 5, i.clone(), j.clone(), v.clone()).unwrap();
+
+    let actual_triplets: Vec<_> = coo.triplet_iter_mut().map(|(i, j, v)| (i, j, *v)).collect();
+
+    let expected_triplets: Vec<_> = i
+        .iter()
+        .zip(&j)
+        .zip(&v)
+        .map(|((i, j), v)| (*i, *j, *v))
+        .collect();
+    assert_eq!(expected_triplets, actual_triplets);
+
+    for (_i, _j, v) in coo.triplet_iter_mut() {
+        *v += *v;
+    }
+
+    let actual_triplets: Vec<_> = coo.triplet_iter_mut().map(|(i, j, v)| (i, j, *v)).collect();
+    let v = vec![4, 6, 8, 14, 2, 6, 2, 10];
+    let expected_triplets: Vec<_> = i
+        .iter()
+        .zip(&j)
+        .zip(&v)
+        .map(|((i, j), v)| (*i, *j, *v))
+        .collect();
+    assert_eq!(expected_triplets, actual_triplets);
+}
+
 #[test]
 fn coo_try_from_triplets_reports_out_of_bounds_indices() {
     {
@@ -314,8 +348,8 @@ fn coo_push_matrix_valid_entries() {
     // Works with sliced
     {
         let source = nalgebra::SMatrix::<i32, 2, 2>::new(6, 7, 8, 9);
-        let sliced = source.fixed_slice::<2, 1>(0, 0);
+        let view = source.fixed_view::<2, 1>(0, 0);
-        coo.push_matrix(1, 0, &sliced);
+        coo.push_matrix(1, 0, &view);
 
         assert_eq!(
             coo.triplet_iter().collect::<Vec<_>>(),

nalgebra-sparse/tests/unit_tests/ops.rs

@@ -14,7 +14,7 @@ use nalgebra_sparse::pattern::SparsityPattern;
 use nalgebra_sparse::proptest::{csc, csr, sparsity_pattern};
 
 use nalgebra::proptest::{matrix, vector};
-use nalgebra::{DMatrix, DMatrixSlice, DMatrixSliceMut, Scalar};
+use nalgebra::{DMatrix, DMatrixView, DMatrixViewMut, Scalar};
 
 use proptest::prelude::*;
 
@@ -333,10 +333,10 @@ fn csc_square_with_non_zero_diagonals() -> impl Strategy<Value = CscMatrix<f64>>
 /// Helper function to help us call dense GEMM with our `Op` type
 fn dense_gemm<'a>(
     beta: i32,
-    c: impl Into<DMatrixSliceMut<'a, i32>>,
+    c: impl Into<DMatrixViewMut<'a, i32>>,
     alpha: i32,
-    a: Op<impl Into<DMatrixSlice<'a, i32>>>,
+    a: Op<impl Into<DMatrixView<'a, i32>>>,
-    b: Op<impl Into<DMatrixSlice<'a, i32>>>,
+    b: Op<impl Into<DMatrixView<'a, i32>>>,
 ) {
     let mut c = c.into();
     let a = a.convert();

src/base/alias.rs

@@ -1,5 +1,5 @@
 #[cfg(any(feature = "alloc", feature = "std"))]
-use crate::base::dimension::Dynamic;
+use crate::base::dimension::Dyn;
 use crate::base::dimension::{U1, U2, U3, U4, U5, U6};
 use crate::base::storage::Owned;
 #[cfg(any(feature = "std", feature = "alloc"))]
@@ -48,69 +48,69 @@ pub type SMatrix<T, const R: usize, const C: usize> =
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type DMatrix<T> = Matrix<T, Dynamic, Dynamic, VecStorage<T, Dynamic, Dynamic>>;
+pub type DMatrix<T> = Matrix<T, Dyn, Dyn, VecStorage<T, Dyn, Dyn>>;
 
 /// A heap-allocated, column-major, matrix with a dynamic number of rows and 1 columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type MatrixXx1<T> = Matrix<T, Dynamic, U1, VecStorage<T, Dynamic, U1>>;
+pub type MatrixXx1<T> = Matrix<T, Dyn, U1, VecStorage<T, Dyn, U1>>;
 /// A heap-allocated, column-major, matrix with a dynamic number of rows and 2 columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type MatrixXx2<T> = Matrix<T, Dynamic, U2, VecStorage<T, Dynamic, U2>>;
+pub type MatrixXx2<T> = Matrix<T, Dyn, U2, VecStorage<T, Dyn, U2>>;
 /// A heap-allocated, column-major, matrix with a dynamic number of rows and 3 columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type MatrixXx3<T> = Matrix<T, Dynamic, U3, VecStorage<T, Dynamic, U3>>;
+pub type MatrixXx3<T> = Matrix<T, Dyn, U3, VecStorage<T, Dyn, U3>>;
 /// A heap-allocated, column-major, matrix with a dynamic number of rows and 4 columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type MatrixXx4<T> = Matrix<T, Dynamic, U4, VecStorage<T, Dynamic, U4>>;
+pub type MatrixXx4<T> = Matrix<T, Dyn, U4, VecStorage<T, Dyn, U4>>;
 /// A heap-allocated, column-major, matrix with a dynamic number of rows and 5 columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type MatrixXx5<T> = Matrix<T, Dynamic, U5, VecStorage<T, Dynamic, U5>>;
+pub type MatrixXx5<T> = Matrix<T, Dyn, U5, VecStorage<T, Dyn, U5>>;
 /// A heap-allocated, column-major, matrix with a dynamic number of rows and 6 columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type MatrixXx6<T> = Matrix<T, Dynamic, U6, VecStorage<T, Dynamic, U6>>;
+pub type MatrixXx6<T> = Matrix<T, Dyn, U6, VecStorage<T, Dyn, U6>>;
 
 /// A heap-allocated, row-major, matrix with 1 rows and a dynamic number of columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type Matrix1xX<T> = Matrix<T, U1, Dynamic, VecStorage<T, U1, Dynamic>>;
+pub type Matrix1xX<T> = Matrix<T, U1, Dyn, VecStorage<T, U1, Dyn>>;
 /// A heap-allocated, row-major, matrix with 2 rows and a dynamic number of columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type Matrix2xX<T> = Matrix<T, U2, Dynamic, VecStorage<T, U2, Dynamic>>;
+pub type Matrix2xX<T> = Matrix<T, U2, Dyn, VecStorage<T, U2, Dyn>>;
 /// A heap-allocated, row-major, matrix with 3 rows and a dynamic number of columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type Matrix3xX<T> = Matrix<T, U3, Dynamic, VecStorage<T, U3, Dynamic>>;
+pub type Matrix3xX<T> = Matrix<T, U3, Dyn, VecStorage<T, U3, Dyn>>;
 /// A heap-allocated, row-major, matrix with 4 rows and a dynamic number of columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type Matrix4xX<T> = Matrix<T, U4, Dynamic, VecStorage<T, U4, Dynamic>>;
+pub type Matrix4xX<T> = Matrix<T, U4, Dyn, VecStorage<T, U4, Dyn>>;
 /// A heap-allocated, row-major, matrix with 5 rows and a dynamic number of columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type Matrix5xX<T> = Matrix<T, U5, Dynamic, VecStorage<T, U5, Dynamic>>;
+pub type Matrix5xX<T> = Matrix<T, U5, Dyn, VecStorage<T, U5, Dyn>>;
 /// A heap-allocated, row-major, matrix with 6 rows and a dynamic number of columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type Matrix6xX<T> = Matrix<T, U6, Dynamic, VecStorage<T, U6, Dynamic>>;
+pub type Matrix6xX<T> = Matrix<T, U6, Dyn, VecStorage<T, U6, Dyn>>;
 
 /// A stack-allocated, column-major, 1x1 square matrix.
 ///
@@ -276,7 +276,7 @@ pub type Matrix6x5<T> = Matrix<T, U6, U5, ArrayStorage<T, 6, 5>>;
  */
 /// A dynamically sized column vector.
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type DVector<T> = Matrix<T, Dynamic, U1, VecStorage<T, Dynamic, U1>>;
+pub type DVector<T> = Matrix<T, Dyn, U1, VecStorage<T, Dyn, U1>>;
 
 /// An owned D-dimensional column vector.
 pub type OVector<T, D> = Matrix<T, D, U1, Owned<T, D, U1>>;
@@ -316,7 +316,7 @@ pub type Vector6<T> = Matrix<T, U6, U1, ArrayStorage<T, 6, 1>>;
  */
 /// A dynamically sized row vector.
 #[cfg(any(feature = "std", feature = "alloc"))]
-pub type RowDVector<T> = Matrix<T, U1, Dynamic, VecStorage<T, U1, Dynamic>>;
+pub type RowDVector<T> = Matrix<T, U1, Dyn, VecStorage<T, U1, Dyn>>;
 
 /// An owned D-dimensional row vector.
 pub type RowOVector<T, D> = Matrix<T, U1, D, Owned<T, U1, D>>;

src/base/alias_slice.rs

@@ -1,6 +1,7 @@
-use crate::base::dimension::{Dynamic, U1, U2, U3, U4, U5, U6};
+use crate::base::dimension::{Dyn, U1, U2, U3, U4, U5, U6};
-use crate::base::matrix_slice::{SliceStorage, SliceStorageMut};
+use crate::base::matrix_view::{ViewStorage, ViewStorageMut};
 use crate::base::{Const, Matrix};
+use crate::slice_deprecation_note;
 
 /*
  *
@@ -13,286 +14,345 @@ use crate::base::{Const, Matrix};
 /// A column-major matrix slice with dimensions known at compile-time.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(SMatrixView)]
 pub type SMatrixSlice<'a, T, const R: usize, const C: usize> =
-    Matrix<T, Const<R>, Const<C>, SliceStorage<'a, T, Const<R>, Const<C>, Const<1>, Const<R>>>;
+    Matrix<T, Const<R>, Const<C>, ViewStorage<'a, T, Const<R>, Const<C>, Const<1>, Const<R>>>;
 
 /// A column-major matrix slice dynamic numbers of rows and columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
-pub type DMatrixSlice<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(DMatrixView)]
-    Matrix<T, Dynamic, Dynamic, SliceStorage<'a, T, Dynamic, Dynamic, RStride, CStride>>;
+pub type DMatrixSlice<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, Dyn, ViewStorage<'a, T, Dyn, Dyn, RStride, CStride>>;
 
 /// A column-major 1x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView1)]
 pub type MatrixSlice1<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U1, SliceStorage<'a, T, U1, U1, RStride, CStride>>;
+    Matrix<T, U1, U1, ViewStorage<'a, T, U1, U1, RStride, CStride>>;
 /// A column-major 2x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView2)]
 pub type MatrixSlice2<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U2, SliceStorage<'a, T, U2, U2, RStride, CStride>>;
+    Matrix<T, U2, U2, ViewStorage<'a, T, U2, U2, RStride, CStride>>;
 /// A column-major 3x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView3)]
 pub type MatrixSlice3<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U3, SliceStorage<'a, T, U3, U3, RStride, CStride>>;
+    Matrix<T, U3, U3, ViewStorage<'a, T, U3, U3, RStride, CStride>>;
 /// A column-major 4x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView4)]
 pub type MatrixSlice4<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U4, SliceStorage<'a, T, U4, U4, RStride, CStride>>;
+    Matrix<T, U4, U4, ViewStorage<'a, T, U4, U4, RStride, CStride>>;
 /// A column-major 5x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView5)]
 pub type MatrixSlice5<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U5, SliceStorage<'a, T, U5, U5, RStride, CStride>>;
+    Matrix<T, U5, U5, ViewStorage<'a, T, U5, U5, RStride, CStride>>;
 /// A column-major 6x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView6)]
 pub type MatrixSlice6<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U6, SliceStorage<'a, T, U6, U6, RStride, CStride>>;
+    Matrix<T, U6, U6, ViewStorage<'a, T, U6, U6, RStride, CStride>>;
 
 /// A column-major 1x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView1x2)]
 pub type MatrixSlice1x2<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U2, SliceStorage<'a, T, U1, U2, RStride, CStride>>;
+    Matrix<T, U1, U2, ViewStorage<'a, T, U1, U2, RStride, CStride>>;
 /// A column-major 1x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView1x3)]
 pub type MatrixSlice1x3<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U3, SliceStorage<'a, T, U1, U3, RStride, CStride>>;
+    Matrix<T, U1, U3, ViewStorage<'a, T, U1, U3, RStride, CStride>>;
 /// A column-major 1x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView1x4)]
 pub type MatrixSlice1x4<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U4, SliceStorage<'a, T, U1, U4, RStride, CStride>>;
+    Matrix<T, U1, U4, ViewStorage<'a, T, U1, U4, RStride, CStride>>;
 /// A column-major 1x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView1x5)]
 pub type MatrixSlice1x5<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U5, SliceStorage<'a, T, U1, U5, RStride, CStride>>;
+    Matrix<T, U1, U5, ViewStorage<'a, T, U1, U5, RStride, CStride>>;
 /// A column-major 1x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView1x6)]
 pub type MatrixSlice1x6<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U6, SliceStorage<'a, T, U1, U6, RStride, CStride>>;
+    Matrix<T, U1, U6, ViewStorage<'a, T, U1, U6, RStride, CStride>>;
 
 /// A column-major 2x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView2x1)]
 pub type MatrixSlice2x1<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U1, SliceStorage<'a, T, U2, U1, RStride, CStride>>;
+    Matrix<T, U2, U1, ViewStorage<'a, T, U2, U1, RStride, CStride>>;
 /// A column-major 2x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView2x3)]
 pub type MatrixSlice2x3<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U3, SliceStorage<'a, T, U2, U3, RStride, CStride>>;
+    Matrix<T, U2, U3, ViewStorage<'a, T, U2, U3, RStride, CStride>>;
 /// A column-major 2x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView2x4)]
 pub type MatrixSlice2x4<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U4, SliceStorage<'a, T, U2, U4, RStride, CStride>>;
+    Matrix<T, U2, U4, ViewStorage<'a, T, U2, U4, RStride, CStride>>;
 /// A column-major 2x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView2x5)]
 pub type MatrixSlice2x5<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U5, SliceStorage<'a, T, U2, U5, RStride, CStride>>;
+    Matrix<T, U2, U5, ViewStorage<'a, T, U2, U5, RStride, CStride>>;
 /// A column-major 2x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView2x6)]
 pub type MatrixSlice2x6<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U6, SliceStorage<'a, T, U2, U6, RStride, CStride>>;
+    Matrix<T, U2, U6, ViewStorage<'a, T, U2, U6, RStride, CStride>>;
 
 /// A column-major 3x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView3x1)]
 pub type MatrixSlice3x1<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U1, SliceStorage<'a, T, U3, U1, RStride, CStride>>;
+    Matrix<T, U3, U1, ViewStorage<'a, T, U3, U1, RStride, CStride>>;
 /// A column-major 3x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView3x2)]
 pub type MatrixSlice3x2<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U2, SliceStorage<'a, T, U3, U2, RStride, CStride>>;
+    Matrix<T, U3, U2, ViewStorage<'a, T, U3, U2, RStride, CStride>>;
 /// A column-major 3x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView3x4)]
 pub type MatrixSlice3x4<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U4, SliceStorage<'a, T, U3, U4, RStride, CStride>>;
+    Matrix<T, U3, U4, ViewStorage<'a, T, U3, U4, RStride, CStride>>;
 /// A column-major 3x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView3x5)]
 pub type MatrixSlice3x5<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U5, SliceStorage<'a, T, U3, U5, RStride, CStride>>;
+    Matrix<T, U3, U5, ViewStorage<'a, T, U3, U5, RStride, CStride>>;
 /// A column-major 3x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView3x6)]
 pub type MatrixSlice3x6<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U6, SliceStorage<'a, T, U3, U6, RStride, CStride>>;
+    Matrix<T, U3, U6, ViewStorage<'a, T, U3, U6, RStride, CStride>>;
 
 /// A column-major 4x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView4x1)]
 pub type MatrixSlice4x1<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U1, SliceStorage<'a, T, U4, U1, RStride, CStride>>;
+    Matrix<T, U4, U1, ViewStorage<'a, T, U4, U1, RStride, CStride>>;
 /// A column-major 4x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView4x2)]
 pub type MatrixSlice4x2<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U2, SliceStorage<'a, T, U4, U2, RStride, CStride>>;
+    Matrix<T, U4, U2, ViewStorage<'a, T, U4, U2, RStride, CStride>>;
 /// A column-major 4x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView4x3)]
 pub type MatrixSlice4x3<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U3, SliceStorage<'a, T, U4, U3, RStride, CStride>>;
+    Matrix<T, U4, U3, ViewStorage<'a, T, U4, U3, RStride, CStride>>;
 /// A column-major 4x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView4x5)]
 pub type MatrixSlice4x5<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U5, SliceStorage<'a, T, U4, U5, RStride, CStride>>;
+    Matrix<T, U4, U5, ViewStorage<'a, T, U4, U5, RStride, CStride>>;
 /// A column-major 4x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView4x6)]
 pub type MatrixSlice4x6<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U6, SliceStorage<'a, T, U4, U6, RStride, CStride>>;
+    Matrix<T, U4, U6, ViewStorage<'a, T, U4, U6, RStride, CStride>>;
 
 /// A column-major 5x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView5x1)]
 pub type MatrixSlice5x1<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U1, SliceStorage<'a, T, U5, U1, RStride, CStride>>;
+    Matrix<T, U5, U1, ViewStorage<'a, T, U5, U1, RStride, CStride>>;
 /// A column-major 5x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView5x2)]
 pub type MatrixSlice5x2<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U2, SliceStorage<'a, T, U5, U2, RStride, CStride>>;
+    Matrix<T, U5, U2, ViewStorage<'a, T, U5, U2, RStride, CStride>>;
 /// A column-major 5x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView5x3)]
 pub type MatrixSlice5x3<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U3, SliceStorage<'a, T, U5, U3, RStride, CStride>>;
+    Matrix<T, U5, U3, ViewStorage<'a, T, U5, U3, RStride, CStride>>;
 /// A column-major 5x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView5x4)]
 pub type MatrixSlice5x4<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U4, SliceStorage<'a, T, U5, U4, RStride, CStride>>;
+    Matrix<T, U5, U4, ViewStorage<'a, T, U5, U4, RStride, CStride>>;
 /// A column-major 5x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView5x6)]
 pub type MatrixSlice5x6<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U6, SliceStorage<'a, T, U5, U6, RStride, CStride>>;
+    Matrix<T, U5, U6, ViewStorage<'a, T, U5, U6, RStride, CStride>>;
 
 /// A column-major 6x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView6x1)]
 pub type MatrixSlice6x1<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U1, SliceStorage<'a, T, U6, U1, RStride, CStride>>;
+    Matrix<T, U6, U1, ViewStorage<'a, T, U6, U1, RStride, CStride>>;
 /// A column-major 6x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView6x2)]
 pub type MatrixSlice6x2<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U2, SliceStorage<'a, T, U6, U2, RStride, CStride>>;
+    Matrix<T, U6, U2, ViewStorage<'a, T, U6, U2, RStride, CStride>>;
 /// A column-major 6x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView6x3)]
 pub type MatrixSlice6x3<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U3, SliceStorage<'a, T, U6, U3, RStride, CStride>>;
+    Matrix<T, U6, U3, ViewStorage<'a, T, U6, U3, RStride, CStride>>;
 /// A column-major 6x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView6x4)]
 pub type MatrixSlice6x4<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U4, SliceStorage<'a, T, U6, U4, RStride, CStride>>;
+    Matrix<T, U6, U4, ViewStorage<'a, T, U6, U4, RStride, CStride>>;
 /// A column-major 6x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixView6x5)]
 pub type MatrixSlice6x5<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U5, SliceStorage<'a, T, U6, U5, RStride, CStride>>;
+    Matrix<T, U6, U5, ViewStorage<'a, T, U6, U5, RStride, CStride>>;
 
 /// A column-major matrix slice with 1 row and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixView1xX)]
 pub type MatrixSlice1xX<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, Dynamic, SliceStorage<'a, T, U1, Dynamic, RStride, CStride>>;
+    Matrix<T, U1, Dyn, ViewStorage<'a, T, U1, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 2 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixView2xX)]
 pub type MatrixSlice2xX<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, Dynamic, SliceStorage<'a, T, U2, Dynamic, RStride, CStride>>;
+    Matrix<T, U2, Dyn, ViewStorage<'a, T, U2, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 3 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixView3xX)]
 pub type MatrixSlice3xX<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, Dynamic, SliceStorage<'a, T, U3, Dynamic, RStride, CStride>>;
+    Matrix<T, U3, Dyn, ViewStorage<'a, T, U3, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 4 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixView4xX)]
 pub type MatrixSlice4xX<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, Dynamic, SliceStorage<'a, T, U4, Dynamic, RStride, CStride>>;
+    Matrix<T, U4, Dyn, ViewStorage<'a, T, U4, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 5 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixView5xX)]
 pub type MatrixSlice5xX<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, Dynamic, SliceStorage<'a, T, U5, Dynamic, RStride, CStride>>;
+    Matrix<T, U5, Dyn, ViewStorage<'a, T, U5, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 6 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixView6xX)]
 pub type MatrixSlice6xX<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, Dynamic, SliceStorage<'a, T, U6, Dynamic, RStride, CStride>>;
+    Matrix<T, U6, Dyn, ViewStorage<'a, T, U6, Dyn, RStride, CStride>>;
 
 /// A column-major matrix slice with a number of rows chosen at runtime and 1 column.
-pub type MatrixSliceXx1<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewXx1)]
-    Matrix<T, Dynamic, U1, SliceStorage<'a, T, Dynamic, U1, RStride, CStride>>;
+pub type MatrixSliceXx1<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U1, ViewStorage<'a, T, Dyn, U1, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 2 columns.
-pub type MatrixSliceXx2<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewXx2)]
-    Matrix<T, Dynamic, U2, SliceStorage<'a, T, Dynamic, U2, RStride, CStride>>;
+pub type MatrixSliceXx2<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U2, ViewStorage<'a, T, Dyn, U2, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 3 columns.
-pub type MatrixSliceXx3<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewXx3)]
-    Matrix<T, Dynamic, U3, SliceStorage<'a, T, Dynamic, U3, RStride, CStride>>;
+pub type MatrixSliceXx3<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U3, ViewStorage<'a, T, Dyn, U3, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 4 columns.
-pub type MatrixSliceXx4<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewXx4)]
-    Matrix<T, Dynamic, U4, SliceStorage<'a, T, Dynamic, U4, RStride, CStride>>;
+pub type MatrixSliceXx4<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U4, ViewStorage<'a, T, Dyn, U4, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 5 columns.
-pub type MatrixSliceXx5<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewXx5)]
-    Matrix<T, Dynamic, U5, SliceStorage<'a, T, Dynamic, U5, RStride, CStride>>;
+pub type MatrixSliceXx5<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U5, ViewStorage<'a, T, Dyn, U5, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 6 columns.
-pub type MatrixSliceXx6<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewXx6)]
-    Matrix<T, Dynamic, U6, SliceStorage<'a, T, Dynamic, U6, RStride, CStride>>;
+pub type MatrixSliceXx6<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U6, ViewStorage<'a, T, Dyn, U6, RStride, CStride>>;
 
 /// A column vector slice with dimensions known at compile-time.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorView)]
 pub type VectorSlice<'a, T, D, RStride = U1, CStride = D> =
-    Matrix<T, D, U1, SliceStorage<'a, T, D, U1, RStride, CStride>>;
+    Matrix<T, D, U1, ViewStorage<'a, T, D, U1, RStride, CStride>>;
 
 /// A column vector slice with dimensions known at compile-time.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(SVectorView)]
 pub type SVectorSlice<'a, T, const D: usize> =
-    Matrix<T, Const<D>, Const<1>, SliceStorage<'a, T, Const<D>, Const<1>, Const<1>, Const<D>>>;
+    Matrix<T, Const<D>, Const<1>, ViewStorage<'a, T, Const<D>, Const<1>, Const<1>, Const<D>>>;
 
 /// A column vector slice dynamic numbers of rows and columns.
-pub type DVectorSlice<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(DVectorView)]
-    Matrix<T, Dynamic, U1, SliceStorage<'a, T, Dynamic, U1, RStride, CStride>>;
+pub type DVectorSlice<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U1, ViewStorage<'a, T, Dyn, U1, RStride, CStride>>;
 
 /// A 1D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorView1)]
 pub type VectorSlice1<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U1, SliceStorage<'a, T, U1, U1, RStride, CStride>>;
+    Matrix<T, U1, U1, ViewStorage<'a, T, U1, U1, RStride, CStride>>;
 /// A 2D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorView2)]
 pub type VectorSlice2<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U1, SliceStorage<'a, T, U2, U1, RStride, CStride>>;
+    Matrix<T, U2, U1, ViewStorage<'a, T, U2, U1, RStride, CStride>>;
 /// A 3D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorView3)]
 pub type VectorSlice3<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U1, SliceStorage<'a, T, U3, U1, RStride, CStride>>;
+    Matrix<T, U3, U1, ViewStorage<'a, T, U3, U1, RStride, CStride>>;
 /// A 4D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorView4)]
 pub type VectorSlice4<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U1, SliceStorage<'a, T, U4, U1, RStride, CStride>>;
+    Matrix<T, U4, U1, ViewStorage<'a, T, U4, U1, RStride, CStride>>;
 /// A 5D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorView5)]
 pub type VectorSlice5<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U1, SliceStorage<'a, T, U5, U1, RStride, CStride>>;
+    Matrix<T, U5, U1, ViewStorage<'a, T, U5, U1, RStride, CStride>>;
 /// A 6D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorView6)]
 pub type VectorSlice6<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U1, SliceStorage<'a, T, U6, U1, RStride, CStride>>;
+    Matrix<T, U6, U1, ViewStorage<'a, T, U6, U1, RStride, CStride>>;
 
 /*
  *
@@ -304,297 +364,358 @@ pub type VectorSlice6<'a, T, RStride = U1, CStride = U6> =
 /// A column-major matrix slice with `R` rows and `C` columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = "Use MatrixViewMut instead, which has an identical definition."]
 pub type MatrixSliceMutMN<'a, T, R, C, RStride = U1, CStride = R> =
-    Matrix<T, R, C, SliceStorageMut<'a, T, R, C, RStride, CStride>>;
+    Matrix<T, R, C, ViewStorageMut<'a, T, R, C, RStride, CStride>>;
 
 /// A column-major matrix slice with `D` rows and columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = "Use MatrixViewMut instead."]
 pub type MatrixSliceMutN<'a, T, D, RStride = U1, CStride = D> =
-    Matrix<T, D, D, SliceStorageMut<'a, T, D, D, RStride, CStride>>;
+    Matrix<T, D, D, ViewStorageMut<'a, T, D, D, RStride, CStride>>;
 
 /// A column-major matrix slice with dimensions known at compile-time.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(SMatrixViewMut)]
 pub type SMatrixSliceMut<'a, T, const R: usize, const C: usize> =
-    Matrix<T, Const<R>, Const<C>, SliceStorageMut<'a, T, Const<R>, Const<C>, Const<1>, Const<R>>>;
+    Matrix<T, Const<R>, Const<C>, ViewStorageMut<'a, T, Const<R>, Const<C>, Const<1>, Const<R>>>;
 
 /// A column-major matrix slice dynamic numbers of rows and columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
-pub type DMatrixSliceMut<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(DMatrixViewMut)]
-    Matrix<T, Dynamic, Dynamic, SliceStorageMut<'a, T, Dynamic, Dynamic, RStride, CStride>>;
+pub type DMatrixSliceMut<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, Dyn, ViewStorageMut<'a, T, Dyn, Dyn, RStride, CStride>>;
 
 /// A column-major 1x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut1)]
 pub type MatrixSliceMut1<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U1, SliceStorageMut<'a, T, U1, U1, RStride, CStride>>;
+    Matrix<T, U1, U1, ViewStorageMut<'a, T, U1, U1, RStride, CStride>>;
 /// A column-major 2x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut2)]
 pub type MatrixSliceMut2<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U2, SliceStorageMut<'a, T, U2, U2, RStride, CStride>>;
+    Matrix<T, U2, U2, ViewStorageMut<'a, T, U2, U2, RStride, CStride>>;
 /// A column-major 3x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut3)]
 pub type MatrixSliceMut3<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U3, SliceStorageMut<'a, T, U3, U3, RStride, CStride>>;
+    Matrix<T, U3, U3, ViewStorageMut<'a, T, U3, U3, RStride, CStride>>;
 /// A column-major 4x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut4)]
 pub type MatrixSliceMut4<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U4, SliceStorageMut<'a, T, U4, U4, RStride, CStride>>;
+    Matrix<T, U4, U4, ViewStorageMut<'a, T, U4, U4, RStride, CStride>>;
 /// A column-major 5x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut5)]
 pub type MatrixSliceMut5<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U5, SliceStorageMut<'a, T, U5, U5, RStride, CStride>>;
+    Matrix<T, U5, U5, ViewStorageMut<'a, T, U5, U5, RStride, CStride>>;
 /// A column-major 6x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut6)]
 pub type MatrixSliceMut6<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U6, SliceStorageMut<'a, T, U6, U6, RStride, CStride>>;
+    Matrix<T, U6, U6, ViewStorageMut<'a, T, U6, U6, RStride, CStride>>;
 
 /// A column-major 1x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut1x2)]
 pub type MatrixSliceMut1x2<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U2, SliceStorageMut<'a, T, U1, U2, RStride, CStride>>;
+    Matrix<T, U1, U2, ViewStorageMut<'a, T, U1, U2, RStride, CStride>>;
 /// A column-major 1x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut1x3)]
 pub type MatrixSliceMut1x3<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U3, SliceStorageMut<'a, T, U1, U3, RStride, CStride>>;
+    Matrix<T, U1, U3, ViewStorageMut<'a, T, U1, U3, RStride, CStride>>;
 /// A column-major 1x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut1x4)]
 pub type MatrixSliceMut1x4<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U4, SliceStorageMut<'a, T, U1, U4, RStride, CStride>>;
+    Matrix<T, U1, U4, ViewStorageMut<'a, T, U1, U4, RStride, CStride>>;
 /// A column-major 1x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut1x5)]
 pub type MatrixSliceMut1x5<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U5, SliceStorageMut<'a, T, U1, U5, RStride, CStride>>;
+    Matrix<T, U1, U5, ViewStorageMut<'a, T, U1, U5, RStride, CStride>>;
 /// A column-major 1x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut1x6)]
 pub type MatrixSliceMut1x6<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U6, SliceStorageMut<'a, T, U1, U6, RStride, CStride>>;
+    Matrix<T, U1, U6, ViewStorageMut<'a, T, U1, U6, RStride, CStride>>;
 
 /// A column-major 2x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut2x1)]
 pub type MatrixSliceMut2x1<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U1, SliceStorageMut<'a, T, U2, U1, RStride, CStride>>;
+    Matrix<T, U2, U1, ViewStorageMut<'a, T, U2, U1, RStride, CStride>>;
 /// A column-major 2x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut2x3)]
 pub type MatrixSliceMut2x3<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U3, SliceStorageMut<'a, T, U2, U3, RStride, CStride>>;
+    Matrix<T, U2, U3, ViewStorageMut<'a, T, U2, U3, RStride, CStride>>;
 /// A column-major 2x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut2x4)]
 pub type MatrixSliceMut2x4<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U4, SliceStorageMut<'a, T, U2, U4, RStride, CStride>>;
+    Matrix<T, U2, U4, ViewStorageMut<'a, T, U2, U4, RStride, CStride>>;
 /// A column-major 2x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut2x5)]
 pub type MatrixSliceMut2x5<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U5, SliceStorageMut<'a, T, U2, U5, RStride, CStride>>;
+    Matrix<T, U2, U5, ViewStorageMut<'a, T, U2, U5, RStride, CStride>>;
 /// A column-major 2x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut2x6)]
 pub type MatrixSliceMut2x6<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U6, SliceStorageMut<'a, T, U2, U6, RStride, CStride>>;
+    Matrix<T, U2, U6, ViewStorageMut<'a, T, U2, U6, RStride, CStride>>;
 
 /// A column-major 3x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut3x1)]
 pub type MatrixSliceMut3x1<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U1, SliceStorageMut<'a, T, U3, U1, RStride, CStride>>;
+    Matrix<T, U3, U1, ViewStorageMut<'a, T, U3, U1, RStride, CStride>>;
 /// A column-major 3x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut3x2)]
 pub type MatrixSliceMut3x2<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U2, SliceStorageMut<'a, T, U3, U2, RStride, CStride>>;
+    Matrix<T, U3, U2, ViewStorageMut<'a, T, U3, U2, RStride, CStride>>;
 /// A column-major 3x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut3x4)]
 pub type MatrixSliceMut3x4<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U4, SliceStorageMut<'a, T, U3, U4, RStride, CStride>>;
+    Matrix<T, U3, U4, ViewStorageMut<'a, T, U3, U4, RStride, CStride>>;
 /// A column-major 3x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut3x5)]
 pub type MatrixSliceMut3x5<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U5, SliceStorageMut<'a, T, U3, U5, RStride, CStride>>;
+    Matrix<T, U3, U5, ViewStorageMut<'a, T, U3, U5, RStride, CStride>>;
 /// A column-major 3x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut3x6)]
 pub type MatrixSliceMut3x6<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U6, SliceStorageMut<'a, T, U3, U6, RStride, CStride>>;
+    Matrix<T, U3, U6, ViewStorageMut<'a, T, U3, U6, RStride, CStride>>;
 
 /// A column-major 4x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut4x1)]
 pub type MatrixSliceMut4x1<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U1, SliceStorageMut<'a, T, U4, U1, RStride, CStride>>;
+    Matrix<T, U4, U1, ViewStorageMut<'a, T, U4, U1, RStride, CStride>>;
 /// A column-major 4x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut4x2)]
 pub type MatrixSliceMut4x2<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U2, SliceStorageMut<'a, T, U4, U2, RStride, CStride>>;
+    Matrix<T, U4, U2, ViewStorageMut<'a, T, U4, U2, RStride, CStride>>;
 /// A column-major 4x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut4x3)]
 pub type MatrixSliceMut4x3<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U3, SliceStorageMut<'a, T, U4, U3, RStride, CStride>>;
+    Matrix<T, U4, U3, ViewStorageMut<'a, T, U4, U3, RStride, CStride>>;
 /// A column-major 4x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut4x5)]
 pub type MatrixSliceMut4x5<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U5, SliceStorageMut<'a, T, U4, U5, RStride, CStride>>;
+    Matrix<T, U4, U5, ViewStorageMut<'a, T, U4, U5, RStride, CStride>>;
 /// A column-major 4x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut4x6)]
 pub type MatrixSliceMut4x6<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U6, SliceStorageMut<'a, T, U4, U6, RStride, CStride>>;
+    Matrix<T, U4, U6, ViewStorageMut<'a, T, U4, U6, RStride, CStride>>;
 
 /// A column-major 5x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut5x1)]
 pub type MatrixSliceMut5x1<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U1, SliceStorageMut<'a, T, U5, U1, RStride, CStride>>;
+    Matrix<T, U5, U1, ViewStorageMut<'a, T, U5, U1, RStride, CStride>>;
 /// A column-major 5x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut5x2)]
 pub type MatrixSliceMut5x2<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U2, SliceStorageMut<'a, T, U5, U2, RStride, CStride>>;
+    Matrix<T, U5, U2, ViewStorageMut<'a, T, U5, U2, RStride, CStride>>;
 /// A column-major 5x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut5x3)]
 pub type MatrixSliceMut5x3<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U3, SliceStorageMut<'a, T, U5, U3, RStride, CStride>>;
+    Matrix<T, U5, U3, ViewStorageMut<'a, T, U5, U3, RStride, CStride>>;
 /// A column-major 5x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut5x4)]
 pub type MatrixSliceMut5x4<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U4, SliceStorageMut<'a, T, U5, U4, RStride, CStride>>;
+    Matrix<T, U5, U4, ViewStorageMut<'a, T, U5, U4, RStride, CStride>>;
 /// A column-major 5x6 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut5x6)]
 pub type MatrixSliceMut5x6<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U6, SliceStorageMut<'a, T, U5, U6, RStride, CStride>>;
+    Matrix<T, U5, U6, ViewStorageMut<'a, T, U5, U6, RStride, CStride>>;
 
 /// A column-major 6x1 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut6x1)]
 pub type MatrixSliceMut6x1<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U1, SliceStorageMut<'a, T, U6, U1, RStride, CStride>>;
+    Matrix<T, U6, U1, ViewStorageMut<'a, T, U6, U1, RStride, CStride>>;
 /// A column-major 6x2 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut6x2)]
 pub type MatrixSliceMut6x2<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U2, SliceStorageMut<'a, T, U6, U2, RStride, CStride>>;
+    Matrix<T, U6, U2, ViewStorageMut<'a, T, U6, U2, RStride, CStride>>;
 /// A column-major 6x3 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut6x3)]
 pub type MatrixSliceMut6x3<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U3, SliceStorageMut<'a, T, U6, U3, RStride, CStride>>;
+    Matrix<T, U6, U3, ViewStorageMut<'a, T, U6, U3, RStride, CStride>>;
 /// A column-major 6x4 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut6x4)]
 pub type MatrixSliceMut6x4<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U4, SliceStorageMut<'a, T, U6, U4, RStride, CStride>>;
+    Matrix<T, U6, U4, ViewStorageMut<'a, T, U6, U4, RStride, CStride>>;
 /// A column-major 6x5 matrix slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(MatrixViewMut6x5)]
 pub type MatrixSliceMut6x5<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U5, SliceStorageMut<'a, T, U6, U5, RStride, CStride>>;
+    Matrix<T, U6, U5, ViewStorageMut<'a, T, U6, U5, RStride, CStride>>;
 
 /// A column-major matrix slice with 1 row and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixViewMut1xX)]
 pub type MatrixSliceMut1xX<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, Dynamic, SliceStorageMut<'a, T, U1, Dynamic, RStride, CStride>>;
+    Matrix<T, U1, Dyn, ViewStorageMut<'a, T, U1, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 2 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixViewMut2xX)]
 pub type MatrixSliceMut2xX<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, Dynamic, SliceStorageMut<'a, T, U2, Dynamic, RStride, CStride>>;
+    Matrix<T, U2, Dyn, ViewStorageMut<'a, T, U2, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 3 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixViewMut3xX)]
 pub type MatrixSliceMut3xX<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, Dynamic, SliceStorageMut<'a, T, U3, Dynamic, RStride, CStride>>;
+    Matrix<T, U3, Dyn, ViewStorageMut<'a, T, U3, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 4 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixViewMut4xX)]
 pub type MatrixSliceMut4xX<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, Dynamic, SliceStorageMut<'a, T, U4, Dynamic, RStride, CStride>>;
+    Matrix<T, U4, Dyn, ViewStorageMut<'a, T, U4, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 5 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixViewMut5xX)]
 pub type MatrixSliceMut5xX<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, Dynamic, SliceStorageMut<'a, T, U5, Dynamic, RStride, CStride>>;
+    Matrix<T, U5, Dyn, ViewStorageMut<'a, T, U5, Dyn, RStride, CStride>>;
 /// A column-major matrix slice with 6 rows and a number of columns chosen at runtime.
+#[deprecated = slice_deprecation_note!(MatrixViewMut6xX)]
 pub type MatrixSliceMut6xX<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, Dynamic, SliceStorageMut<'a, T, U6, Dynamic, RStride, CStride>>;
+    Matrix<T, U6, Dyn, ViewStorageMut<'a, T, U6, Dyn, RStride, CStride>>;
 
 /// A column-major matrix slice with a number of rows chosen at runtime and 1 column.
-pub type MatrixSliceMutXx1<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx1)]
-    Matrix<T, Dynamic, U1, SliceStorageMut<'a, T, Dynamic, U1, RStride, CStride>>;
+pub type MatrixSliceMutXx1<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U1, ViewStorageMut<'a, T, Dyn, U1, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 2 columns.
-pub type MatrixSliceMutXx2<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx2)]
-    Matrix<T, Dynamic, U2, SliceStorageMut<'a, T, Dynamic, U2, RStride, CStride>>;
+pub type MatrixSliceMutXx2<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U2, ViewStorageMut<'a, T, Dyn, U2, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 3 columns.
-pub type MatrixSliceMutXx3<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx3)]
-    Matrix<T, Dynamic, U3, SliceStorageMut<'a, T, Dynamic, U3, RStride, CStride>>;
+pub type MatrixSliceMutXx3<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U3, ViewStorageMut<'a, T, Dyn, U3, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 4 columns.
-pub type MatrixSliceMutXx4<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx4)]
-    Matrix<T, Dynamic, U4, SliceStorageMut<'a, T, Dynamic, U4, RStride, CStride>>;
+pub type MatrixSliceMutXx4<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U4, ViewStorageMut<'a, T, Dyn, U4, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 5 columns.
-pub type MatrixSliceMutXx5<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx5)]
-    Matrix<T, Dynamic, U5, SliceStorageMut<'a, T, Dynamic, U5, RStride, CStride>>;
+pub type MatrixSliceMutXx5<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U5, ViewStorageMut<'a, T, Dyn, U5, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 6 columns.
-pub type MatrixSliceMutXx6<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx6)]
-    Matrix<T, Dynamic, U6, SliceStorageMut<'a, T, Dynamic, U6, RStride, CStride>>;
+pub type MatrixSliceMutXx6<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U6, ViewStorageMut<'a, T, Dyn, U6, RStride, CStride>>;
 
 /// A column vector slice with dimensions known at compile-time.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorViewMut)]
 pub type VectorSliceMut<'a, T, D, RStride = U1, CStride = D> =
-    Matrix<T, D, U1, SliceStorageMut<'a, T, D, U1, RStride, CStride>>;
+    Matrix<T, D, U1, ViewStorageMut<'a, T, D, U1, RStride, CStride>>;
 
 /// A column vector slice with dimensions known at compile-time.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(SVectorViewMut)]
 pub type SVectorSliceMut<'a, T, const D: usize> =
-    Matrix<T, Const<D>, Const<1>, SliceStorageMut<'a, T, Const<D>, Const<1>, Const<1>, Const<D>>>;
+    Matrix<T, Const<D>, Const<1>, ViewStorageMut<'a, T, Const<D>, Const<1>, Const<1>, Const<D>>>;
 
 /// A column vector slice dynamic numbers of rows and columns.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
-pub type DVectorSliceMut<'a, T, RStride = U1, CStride = Dynamic> =
+#[deprecated = slice_deprecation_note!(DVectorViewMut)]
-    Matrix<T, Dynamic, U1, SliceStorageMut<'a, T, Dynamic, U1, RStride, CStride>>;
+pub type DVectorSliceMut<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U1, ViewStorageMut<'a, T, Dyn, U1, RStride, CStride>>;
 
 /// A 1D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorViewMut1)]
 pub type VectorSliceMut1<'a, T, RStride = U1, CStride = U1> =
-    Matrix<T, U1, U1, SliceStorageMut<'a, T, U1, U1, RStride, CStride>>;
+    Matrix<T, U1, U1, ViewStorageMut<'a, T, U1, U1, RStride, CStride>>;
 /// A 2D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorViewMut2)]
 pub type VectorSliceMut2<'a, T, RStride = U1, CStride = U2> =
-    Matrix<T, U2, U1, SliceStorageMut<'a, T, U2, U1, RStride, CStride>>;
+    Matrix<T, U2, U1, ViewStorageMut<'a, T, U2, U1, RStride, CStride>>;
 /// A 3D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorViewMut3)]
 pub type VectorSliceMut3<'a, T, RStride = U1, CStride = U3> =
-    Matrix<T, U3, U1, SliceStorageMut<'a, T, U3, U1, RStride, CStride>>;
+    Matrix<T, U3, U1, ViewStorageMut<'a, T, U3, U1, RStride, CStride>>;
 /// A 4D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorViewMut4)]
 pub type VectorSliceMut4<'a, T, RStride = U1, CStride = U4> =
-    Matrix<T, U4, U1, SliceStorageMut<'a, T, U4, U1, RStride, CStride>>;
+    Matrix<T, U4, U1, ViewStorageMut<'a, T, U4, U1, RStride, CStride>>;
 /// A 5D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorViewMut5)]
 pub type VectorSliceMut5<'a, T, RStride = U1, CStride = U5> =
-    Matrix<T, U5, U1, SliceStorageMut<'a, T, U5, U1, RStride, CStride>>;
+    Matrix<T, U5, U1, ViewStorageMut<'a, T, U5, U1, RStride, CStride>>;
 /// A 6D column vector slice.
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+#[deprecated = slice_deprecation_note!(VectorViewMut6)]
 pub type VectorSliceMut6<'a, T, RStride = U1, CStride = U6> =
-    Matrix<T, U6, U1, SliceStorageMut<'a, T, U6, U1, RStride, CStride>>;
+    Matrix<T, U6, U1, ViewStorageMut<'a, T, U6, U1, RStride, CStride>>;

src/base/alias_view.rs

@@ -0,0 +1,589 @@
+use crate::base::dimension::{Dyn, U1, U2, U3, U4, U5, U6};
+use crate::base::matrix_view::{ViewStorage, ViewStorageMut};
+use crate::base::{Const, Matrix};
+
+/*
+ *
+ *
+ * Matrix view aliases.
+ *
+ *
+ */
+// NOTE: we can't provide defaults for the strides because it's not supported yet by min_const_generics.
+/// A column-major matrix view with dimensions known at compile-time.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type SMatrixView<'a, T, const R: usize, const C: usize> =
+    Matrix<T, Const<R>, Const<C>, ViewStorage<'a, T, Const<R>, Const<C>, Const<1>, Const<R>>>;
+
+/// A column-major matrix view dynamic numbers of rows and columns.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type DMatrixView<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, Dyn, ViewStorage<'a, T, Dyn, Dyn, RStride, CStride>>;
+
+/// A column-major 1x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView1<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U1, ViewStorage<'a, T, U1, U1, RStride, CStride>>;
+/// A column-major 2x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView2<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U2, ViewStorage<'a, T, U2, U2, RStride, CStride>>;
+/// A column-major 3x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView3<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U3, ViewStorage<'a, T, U3, U3, RStride, CStride>>;
+/// A column-major 4x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView4<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U4, ViewStorage<'a, T, U4, U4, RStride, CStride>>;
+/// A column-major 5x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView5<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U5, ViewStorage<'a, T, U5, U5, RStride, CStride>>;
+/// A column-major 6x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView6<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U6, ViewStorage<'a, T, U6, U6, RStride, CStride>>;
+
+/// A column-major 1x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView1x2<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U2, ViewStorage<'a, T, U1, U2, RStride, CStride>>;
+/// A column-major 1x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView1x3<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U3, ViewStorage<'a, T, U1, U3, RStride, CStride>>;
+/// A column-major 1x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView1x4<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U4, ViewStorage<'a, T, U1, U4, RStride, CStride>>;
+/// A column-major 1x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView1x5<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U5, ViewStorage<'a, T, U1, U5, RStride, CStride>>;
+/// A column-major 1x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView1x6<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U6, ViewStorage<'a, T, U1, U6, RStride, CStride>>;
+
+/// A column-major 2x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView2x1<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U1, ViewStorage<'a, T, U2, U1, RStride, CStride>>;
+/// A column-major 2x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView2x3<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U3, ViewStorage<'a, T, U2, U3, RStride, CStride>>;
+/// A column-major 2x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView2x4<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U4, ViewStorage<'a, T, U2, U4, RStride, CStride>>;
+/// A column-major 2x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView2x5<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U5, ViewStorage<'a, T, U2, U5, RStride, CStride>>;
+/// A column-major 2x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView2x6<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U6, ViewStorage<'a, T, U2, U6, RStride, CStride>>;
+
+/// A column-major 3x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView3x1<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U1, ViewStorage<'a, T, U3, U1, RStride, CStride>>;
+/// A column-major 3x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView3x2<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U2, ViewStorage<'a, T, U3, U2, RStride, CStride>>;
+/// A column-major 3x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView3x4<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U4, ViewStorage<'a, T, U3, U4, RStride, CStride>>;
+/// A column-major 3x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView3x5<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U5, ViewStorage<'a, T, U3, U5, RStride, CStride>>;
+/// A column-major 3x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView3x6<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U6, ViewStorage<'a, T, U3, U6, RStride, CStride>>;
+
+/// A column-major 4x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView4x1<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U1, ViewStorage<'a, T, U4, U1, RStride, CStride>>;
+/// A column-major 4x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView4x2<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U2, ViewStorage<'a, T, U4, U2, RStride, CStride>>;
+/// A column-major 4x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView4x3<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U3, ViewStorage<'a, T, U4, U3, RStride, CStride>>;
+/// A column-major 4x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView4x5<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U5, ViewStorage<'a, T, U4, U5, RStride, CStride>>;
+/// A column-major 4x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView4x6<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U6, ViewStorage<'a, T, U4, U6, RStride, CStride>>;
+
+/// A column-major 5x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView5x1<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U1, ViewStorage<'a, T, U5, U1, RStride, CStride>>;
+/// A column-major 5x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView5x2<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U2, ViewStorage<'a, T, U5, U2, RStride, CStride>>;
+/// A column-major 5x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView5x3<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U3, ViewStorage<'a, T, U5, U3, RStride, CStride>>;
+/// A column-major 5x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView5x4<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U4, ViewStorage<'a, T, U5, U4, RStride, CStride>>;
+/// A column-major 5x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView5x6<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U6, ViewStorage<'a, T, U5, U6, RStride, CStride>>;
+
+/// A column-major 6x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView6x1<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U1, ViewStorage<'a, T, U6, U1, RStride, CStride>>;
+/// A column-major 6x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView6x2<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U2, ViewStorage<'a, T, U6, U2, RStride, CStride>>;
+/// A column-major 6x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView6x3<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U3, ViewStorage<'a, T, U6, U3, RStride, CStride>>;
+/// A column-major 6x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView6x4<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U4, ViewStorage<'a, T, U6, U4, RStride, CStride>>;
+/// A column-major 6x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixView6x5<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U5, ViewStorage<'a, T, U6, U5, RStride, CStride>>;
+
+/// A column-major matrix view with 1 row and a number of columns chosen at runtime.
+pub type MatrixView1xX<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, Dyn, ViewStorage<'a, T, U1, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 2 rows and a number of columns chosen at runtime.
+pub type MatrixView2xX<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, Dyn, ViewStorage<'a, T, U2, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 3 rows and a number of columns chosen at runtime.
+pub type MatrixView3xX<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, Dyn, ViewStorage<'a, T, U3, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 4 rows and a number of columns chosen at runtime.
+pub type MatrixView4xX<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, Dyn, ViewStorage<'a, T, U4, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 5 rows and a number of columns chosen at runtime.
+pub type MatrixView5xX<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, Dyn, ViewStorage<'a, T, U5, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 6 rows and a number of columns chosen at runtime.
+pub type MatrixView6xX<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, Dyn, ViewStorage<'a, T, U6, Dyn, RStride, CStride>>;
+
+/// A column-major matrix view with a number of rows chosen at runtime and 1 column.
+pub type MatrixViewXx1<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U1, ViewStorage<'a, T, Dyn, U1, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 2 columns.
+pub type MatrixViewXx2<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U2, ViewStorage<'a, T, Dyn, U2, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 3 columns.
+pub type MatrixViewXx3<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U3, ViewStorage<'a, T, Dyn, U3, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 4 columns.
+pub type MatrixViewXx4<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U4, ViewStorage<'a, T, Dyn, U4, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 5 columns.
+pub type MatrixViewXx5<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U5, ViewStorage<'a, T, Dyn, U5, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 6 columns.
+pub type MatrixViewXx6<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U6, ViewStorage<'a, T, Dyn, U6, RStride, CStride>>;
+
+/// A column vector view with dimensions known at compile-time.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorView<'a, T, D, RStride = U1, CStride = D> =
+    Matrix<T, D, U1, ViewStorage<'a, T, D, U1, RStride, CStride>>;
+
+/// A column vector view with dimensions known at compile-time.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type SVectorView<'a, T, const D: usize> =
+    Matrix<T, Const<D>, Const<1>, ViewStorage<'a, T, Const<D>, Const<1>, Const<1>, Const<D>>>;
+
+/// A column vector view dynamic numbers of rows and columns.
+pub type DVectorView<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U1, ViewStorage<'a, T, Dyn, U1, RStride, CStride>>;
+
+/// A 1D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorView1<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U1, ViewStorage<'a, T, U1, U1, RStride, CStride>>;
+/// A 2D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorView2<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U1, ViewStorage<'a, T, U2, U1, RStride, CStride>>;
+/// A 3D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorView3<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U1, ViewStorage<'a, T, U3, U1, RStride, CStride>>;
+/// A 4D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorView4<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U1, ViewStorage<'a, T, U4, U1, RStride, CStride>>;
+/// A 5D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorView5<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U1, ViewStorage<'a, T, U5, U1, RStride, CStride>>;
+/// A 6D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorView6<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U1, ViewStorage<'a, T, U6, U1, RStride, CStride>>;
+
+/*
+ *
+ *
+ * Same thing, but for mutable views.
+ *
+ *
+ */
+
+/// A column-major matrix view with dimensions known at compile-time.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type SMatrixViewMut<'a, T, const R: usize, const C: usize> =
+    Matrix<T, Const<R>, Const<C>, ViewStorageMut<'a, T, Const<R>, Const<C>, Const<1>, Const<R>>>;
+
+/// A column-major matrix view dynamic numbers of rows and columns.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type DMatrixViewMut<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, Dyn, ViewStorageMut<'a, T, Dyn, Dyn, RStride, CStride>>;
+
+/// A column-major 1x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut1<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U1, ViewStorageMut<'a, T, U1, U1, RStride, CStride>>;
+/// A column-major 2x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut2<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U2, ViewStorageMut<'a, T, U2, U2, RStride, CStride>>;
+/// A column-major 3x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut3<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U3, ViewStorageMut<'a, T, U3, U3, RStride, CStride>>;
+/// A column-major 4x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut4<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U4, ViewStorageMut<'a, T, U4, U4, RStride, CStride>>;
+/// A column-major 5x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut5<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U5, ViewStorageMut<'a, T, U5, U5, RStride, CStride>>;
+/// A column-major 6x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut6<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U6, ViewStorageMut<'a, T, U6, U6, RStride, CStride>>;
+
+/// A column-major 1x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut1x2<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U2, ViewStorageMut<'a, T, U1, U2, RStride, CStride>>;
+/// A column-major 1x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut1x3<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U3, ViewStorageMut<'a, T, U1, U3, RStride, CStride>>;
+/// A column-major 1x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut1x4<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U4, ViewStorageMut<'a, T, U1, U4, RStride, CStride>>;
+/// A column-major 1x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut1x5<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U5, ViewStorageMut<'a, T, U1, U5, RStride, CStride>>;
+/// A column-major 1x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut1x6<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U6, ViewStorageMut<'a, T, U1, U6, RStride, CStride>>;
+
+/// A column-major 2x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut2x1<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U1, ViewStorageMut<'a, T, U2, U1, RStride, CStride>>;
+/// A column-major 2x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut2x3<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U3, ViewStorageMut<'a, T, U2, U3, RStride, CStride>>;
+/// A column-major 2x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut2x4<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U4, ViewStorageMut<'a, T, U2, U4, RStride, CStride>>;
+/// A column-major 2x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut2x5<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U5, ViewStorageMut<'a, T, U2, U5, RStride, CStride>>;
+/// A column-major 2x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut2x6<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U6, ViewStorageMut<'a, T, U2, U6, RStride, CStride>>;
+
+/// A column-major 3x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut3x1<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U1, ViewStorageMut<'a, T, U3, U1, RStride, CStride>>;
+/// A column-major 3x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut3x2<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U2, ViewStorageMut<'a, T, U3, U2, RStride, CStride>>;
+/// A column-major 3x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut3x4<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U4, ViewStorageMut<'a, T, U3, U4, RStride, CStride>>;
+/// A column-major 3x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut3x5<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U5, ViewStorageMut<'a, T, U3, U5, RStride, CStride>>;
+/// A column-major 3x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut3x6<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U6, ViewStorageMut<'a, T, U3, U6, RStride, CStride>>;
+
+/// A column-major 4x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut4x1<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U1, ViewStorageMut<'a, T, U4, U1, RStride, CStride>>;
+/// A column-major 4x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut4x2<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U2, ViewStorageMut<'a, T, U4, U2, RStride, CStride>>;
+/// A column-major 4x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut4x3<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U3, ViewStorageMut<'a, T, U4, U3, RStride, CStride>>;
+/// A column-major 4x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut4x5<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U5, ViewStorageMut<'a, T, U4, U5, RStride, CStride>>;
+/// A column-major 4x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut4x6<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U6, ViewStorageMut<'a, T, U4, U6, RStride, CStride>>;
+
+/// A column-major 5x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut5x1<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U1, ViewStorageMut<'a, T, U5, U1, RStride, CStride>>;
+/// A column-major 5x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut5x2<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U2, ViewStorageMut<'a, T, U5, U2, RStride, CStride>>;
+/// A column-major 5x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut5x3<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U3, ViewStorageMut<'a, T, U5, U3, RStride, CStride>>;
+/// A column-major 5x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut5x4<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U4, ViewStorageMut<'a, T, U5, U4, RStride, CStride>>;
+/// A column-major 5x6 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut5x6<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U6, ViewStorageMut<'a, T, U5, U6, RStride, CStride>>;
+
+/// A column-major 6x1 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut6x1<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U1, ViewStorageMut<'a, T, U6, U1, RStride, CStride>>;
+/// A column-major 6x2 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut6x2<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U2, ViewStorageMut<'a, T, U6, U2, RStride, CStride>>;
+/// A column-major 6x3 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut6x3<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U3, ViewStorageMut<'a, T, U6, U3, RStride, CStride>>;
+/// A column-major 6x4 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut6x4<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U4, ViewStorageMut<'a, T, U6, U4, RStride, CStride>>;
+/// A column-major 6x5 matrix view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type MatrixViewMut6x5<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U5, ViewStorageMut<'a, T, U6, U5, RStride, CStride>>;
+
+/// A column-major matrix view with 1 row and a number of columns chosen at runtime.
+pub type MatrixViewMut1xX<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, Dyn, ViewStorageMut<'a, T, U1, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 2 rows and a number of columns chosen at runtime.
+pub type MatrixViewMut2xX<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, Dyn, ViewStorageMut<'a, T, U2, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 3 rows and a number of columns chosen at runtime.
+pub type MatrixViewMut3xX<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, Dyn, ViewStorageMut<'a, T, U3, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 4 rows and a number of columns chosen at runtime.
+pub type MatrixViewMut4xX<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, Dyn, ViewStorageMut<'a, T, U4, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 5 rows and a number of columns chosen at runtime.
+pub type MatrixViewMut5xX<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, Dyn, ViewStorageMut<'a, T, U5, Dyn, RStride, CStride>>;
+/// A column-major matrix view with 6 rows and a number of columns chosen at runtime.
+pub type MatrixViewMut6xX<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, Dyn, ViewStorageMut<'a, T, U6, Dyn, RStride, CStride>>;
+
+/// A column-major matrix view with a number of rows chosen at runtime and 1 column.
+pub type MatrixViewMutXx1<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U1, ViewStorageMut<'a, T, Dyn, U1, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 2 columns.
+pub type MatrixViewMutXx2<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U2, ViewStorageMut<'a, T, Dyn, U2, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 3 columns.
+pub type MatrixViewMutXx3<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U3, ViewStorageMut<'a, T, Dyn, U3, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 4 columns.
+pub type MatrixViewMutXx4<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U4, ViewStorageMut<'a, T, Dyn, U4, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 5 columns.
+pub type MatrixViewMutXx5<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U5, ViewStorageMut<'a, T, Dyn, U5, RStride, CStride>>;
+/// A column-major matrix view with a number of rows chosen at runtime and 6 columns.
+pub type MatrixViewMutXx6<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U6, ViewStorageMut<'a, T, Dyn, U6, RStride, CStride>>;
+
+/// A column vector view with dimensions known at compile-time.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorViewMut<'a, T, D, RStride = U1, CStride = D> =
+    Matrix<T, D, U1, ViewStorageMut<'a, T, D, U1, RStride, CStride>>;
+
+/// A column vector view with dimensions known at compile-time.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type SVectorViewMut<'a, T, const D: usize> =
+    Matrix<T, Const<D>, Const<1>, ViewStorageMut<'a, T, Const<D>, Const<1>, Const<1>, Const<D>>>;
+
+/// A column vector view dynamic numbers of rows and columns.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type DVectorViewMut<'a, T, RStride = U1, CStride = Dyn> =
+    Matrix<T, Dyn, U1, ViewStorageMut<'a, T, Dyn, U1, RStride, CStride>>;
+
+/// A 1D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorViewMut1<'a, T, RStride = U1, CStride = U1> =
+    Matrix<T, U1, U1, ViewStorageMut<'a, T, U1, U1, RStride, CStride>>;
+/// A 2D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorViewMut2<'a, T, RStride = U1, CStride = U2> =
+    Matrix<T, U2, U1, ViewStorageMut<'a, T, U2, U1, RStride, CStride>>;
+/// A 3D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorViewMut3<'a, T, RStride = U1, CStride = U3> =
+    Matrix<T, U3, U1, ViewStorageMut<'a, T, U3, U1, RStride, CStride>>;
+/// A 4D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorViewMut4<'a, T, RStride = U1, CStride = U4> =
+    Matrix<T, U4, U1, ViewStorageMut<'a, T, U4, U1, RStride, CStride>>;
+/// A 5D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorViewMut5<'a, T, RStride = U1, CStride = U5> =
+    Matrix<T, U5, U1, ViewStorageMut<'a, T, U5, U1, RStride, CStride>>;
+/// A 6D column vector view.
+///
+/// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
+pub type VectorViewMut6<'a, T, RStride = U1, CStride = U6> =
+    Matrix<T, U6, U1, ViewStorageMut<'a, T, U6, U1, RStride, CStride>>;

src/base/allocator.rs

@@ -15,7 +15,7 @@ use std::mem::MaybeUninit;
 ///
 /// An allocator is said to be:
 ///   − static:  if `R` and `C` both implement `DimName`.
-///   − dynamic: if either one (or both) of `R` or `C` is equal to `Dynamic`.
+///   − dynamic: if either one (or both) of `R` or `C` is equal to `Dyn`.
 ///
 /// Every allocator must be both static and dynamic. Though not all implementations may share the
 /// same `Buffer` type.

src/base/array_storage.rs

@@ -27,11 +27,18 @@ use std::mem;
 /// A array-based statically sized matrix data storage.
 #[repr(transparent)]
 #[derive(Copy, Clone, PartialEq, Eq, Hash)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "ArrayStorage<T::Archived, R, C>",
+        bound(archive = "
+        T: rkyv::Archive,
+        [[T; R]; C]: rkyv::Archive<Archived = [[T::Archived; R]; C]>
+    ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 pub struct ArrayStorage<T, const R: usize, const C: usize>(pub [[T; R]; C]);
 

src/base/blas.rs

@@ -7,11 +7,11 @@ use crate::base::blas_uninit::{axcpy_uninit, gemm_uninit, gemv_uninit};
 use crate::base::constraint::{
     AreMultipliable, DimEq, SameNumberOfColumns, SameNumberOfRows, ShapeConstraint,
 };
-use crate::base::dimension::{Const, Dim, Dynamic, U1, U2, U3, U4};
+use crate::base::dimension::{Const, Dim, Dyn, U1, U2, U3, U4};
 use crate::base::storage::{Storage, StorageMut};
 use crate::base::uninit::Init;
 use crate::base::{
-    DVectorSlice, DefaultAllocator, Matrix, Scalar, SquareMatrix, Vector, VectorSlice,
+    DVectorView, DefaultAllocator, Matrix, Scalar, SquareMatrix, Vector, VectorView,
 };
 
 /// # Dot/scalar product
@@ -363,8 +363,8 @@ where
         x: &Vector<T, D3, SC>,
         beta: T,
         dot: impl Fn(
-            &DVectorSlice<'_, T, SB::RStride, SB::CStride>,
+            &DVectorView<'_, T, SB::RStride, SB::CStride>,
-            &DVectorSlice<'_, T, SC::RStride, SC::CStride>,
+            &DVectorView<'_, T, SC::RStride, SC::CStride>,
         ) -> T,
     ) where
         T: One,
@@ -393,7 +393,7 @@ where
         let col2 = a.column(0);
         let val = unsafe { x.vget_unchecked(0).clone() };
         self.axpy(alpha.clone() * val, &col2, beta);
-        self[0] += alpha.clone() * dot(&a.slice_range(1.., 0), &x.rows_range(1..));
+        self[0] += alpha.clone() * dot(&a.view_range(1.., 0), &x.rows_range(1..));
 
         for j in 1..dim2 {
             let col2 = a.column(j);
@@ -506,7 +506,7 @@ where
         a: &Matrix<T, R2, C2, SB>,
         x: &Vector<T, D3, SC>,
         beta: T,
-        dot: impl Fn(&VectorSlice<'_, T, R2, SB::RStride, SB::CStride>, &Vector<T, D3, SC>) -> T,
+        dot: impl Fn(&VectorView<'_, T, R2, SB::RStride, SB::CStride>, &Vector<T, D3, SC>) -> T,
     ) where
         T: One,
         SB: Storage<T, R2, C2>,
@@ -890,9 +890,9 @@ where
 
         for j in 0..dim1 {
             let val = unsafe { conjugate(y.vget_unchecked(j).clone()) };
-            let subdim = Dynamic::new(dim1 - j);
+            let subdim = Dyn(dim1 - j);
             // TODO: avoid bound checks.
-            self.generic_slice_mut((j, j), (subdim, Const::<1>)).axpy(
+            self.generic_view_mut((j, j), (subdim, Const::<1>)).axpy(
                 alpha.clone() * val,
                 &x.rows_range(j..),
                 beta.clone(),

src/base/blas_uninit.rs

@@ -18,7 +18,7 @@ use std::mem;
 use crate::base::constraint::{
     AreMultipliable, DimEq, SameNumberOfColumns, SameNumberOfRows, ShapeConstraint,
 };
-use crate::base::dimension::{Dim, Dynamic, U1};
+use crate::base::dimension::{Dim, Dyn, U1};
 use crate::base::storage::{RawStorage, RawStorageMut};
 use crate::base::uninit::InitStatus;
 use crate::base::{Matrix, Scalar, Vector};
@@ -209,16 +209,16 @@ pub unsafe fn gemm_uninit<
 
     #[cfg(feature = "std")]
     {
-        // We assume large matrices will be Dynamic but small matrices static.
+        // We assume large matrices will be Dyn but small matrices static.
         // We could use matrixmultiply for large statically-sized matrices but the performance
         // threshold to activate it would be different from SMALL_DIM because our code optimizes
         // better for statically-sized matrices.
-        if R1::is::<Dynamic>()
+        if R1::is::<Dyn>()
-            || C1::is::<Dynamic>()
+            || C1::is::<Dyn>()
-            || R2::is::<Dynamic>()
+            || R2::is::<Dyn>()
-            || C2::is::<Dynamic>()
+            || C2::is::<Dyn>()
-            || R3::is::<Dynamic>()
+            || R3::is::<Dyn>()
-            || C3::is::<Dynamic>()
+            || C3::is::<Dyn>()
         {
             // matrixmultiply can be used only if the std feature is available.
             let nrows1 = y.nrows();

src/base/cg.rs

@@ -59,7 +59,7 @@ where
         SB: Storage<T, DimNameDiff<D, U1>>,
     {
         let mut res = Self::identity();
-        res.generic_slice_mut(
+        res.generic_view_mut(
             (0, D::dim() - 1),
             (DimNameDiff::<D, U1>::name(), Const::<1>),
         )
@@ -382,19 +382,19 @@ impl<T: Scalar + Zero + One + ClosedMul + ClosedAdd, D: DimName, S: Storage<T, D
         DefaultAllocator: Allocator<T, DimNameDiff<D, U1>>,
     {
         let scale = self
-            .generic_slice(
+            .generic_view(
                 (D::dim() - 1, 0),
                 (Const::<1>, DimNameDiff::<D, U1>::name()),
             )
             .tr_dot(shift);
-        let post_translation = self.generic_slice(
+        let post_translation = self.generic_view(
             (0, 0),
             (DimNameDiff::<D, U1>::name(), DimNameDiff::<D, U1>::name()),
         ) * shift;
 
         self[(D::dim() - 1, D::dim() - 1)] += scale;
 
-        let mut translation = self.generic_slice_mut(
+        let mut translation = self.generic_view_mut(
             (0, D::dim() - 1),
             (DimNameDiff::<D, U1>::name(), Const::<1>),
         );
@@ -415,11 +415,11 @@ where
         &self,
         v: &OVector<T, DimNameDiff<D, U1>>,
     ) -> OVector<T, DimNameDiff<D, U1>> {
-        let transform = self.generic_slice(
+        let transform = self.generic_view(
             (0, 0),
             (DimNameDiff::<D, U1>::name(), DimNameDiff::<D, U1>::name()),
         );
-        let normalizer = self.generic_slice(
+        let normalizer = self.generic_view(
             (D::dim() - 1, 0),
             (Const::<1>, DimNameDiff::<D, U1>::name()),
         );
@@ -437,9 +437,9 @@ impl<T: RealField, S: Storage<T, Const<3>, Const<3>>> SquareMatrix<T, Const<3>,
     /// Transforms the given point, assuming the matrix `self` uses homogeneous coordinates.
     #[inline]
     pub fn transform_point(&self, pt: &Point<T, 2>) -> Point<T, 2> {
-        let transform = self.fixed_slice::<2, 2>(0, 0);
+        let transform = self.fixed_view::<2, 2>(0, 0);
-        let translation = self.fixed_slice::<2, 1>(0, 2);
+        let translation = self.fixed_view::<2, 1>(0, 2);
-        let normalizer = self.fixed_slice::<1, 2>(2, 0);
+        let normalizer = self.fixed_view::<1, 2>(2, 0);
         let n = normalizer.tr_dot(&pt.coords) + unsafe { self.get_unchecked((2, 2)).clone() };
 
         if !n.is_zero() {
@@ -454,9 +454,9 @@ impl<T: RealField, S: Storage<T, Const<4>, Const<4>>> SquareMatrix<T, Const<4>,
     /// Transforms the given point, assuming the matrix `self` uses homogeneous coordinates.
     #[inline]
     pub fn transform_point(&self, pt: &Point<T, 3>) -> Point<T, 3> {
-        let transform = self.fixed_slice::<3, 3>(0, 0);
+        let transform = self.fixed_view::<3, 3>(0, 0);
-        let translation = self.fixed_slice::<3, 1>(0, 3);
+        let translation = self.fixed_view::<3, 1>(0, 3);
-        let normalizer = self.fixed_slice::<1, 3>(3, 0);
+        let normalizer = self.fixed_view::<1, 3>(3, 0);
         let n = normalizer.tr_dot(&pt.coords) + unsafe { self.get_unchecked((3, 3)).clone() };
 
         if !n.is_zero() {

src/base/constraint.rs

@@ -1,6 +1,6 @@
 //! Compatibility constraints between matrix shapes, e.g., for addition or multiplication.
 
-use crate::base::dimension::{Dim, DimName, Dynamic};
+use crate::base::dimension::{Dim, DimName, Dyn};
 
 /// A type used in `where` clauses for enforcing constraints.
 #[derive(Copy, Clone, Debug)]
@@ -25,11 +25,11 @@ impl<D: Dim> DimEq<D, D> for ShapeConstraint {
     type Representative = D;
 }
 
-impl<D: DimName> DimEq<D, Dynamic> for ShapeConstraint {
+impl<D: DimName> DimEq<D, Dyn> for ShapeConstraint {
     type Representative = D;
 }
 
-impl<D: DimName> DimEq<Dynamic, D> for ShapeConstraint {
+impl<D: DimName> DimEq<Dyn, D> for ShapeConstraint {
     type Representative = D;
 }
 
@@ -47,11 +47,11 @@ macro_rules! equality_trait_decl(
             type Representative = D;
         }
 
-        impl<D: DimName> $Trait<D, Dynamic> for ShapeConstraint {
+        impl<D: DimName> $Trait<D, Dyn> for ShapeConstraint {
             type Representative = D;
         }
 
-        impl<D: DimName> $Trait<Dynamic, D> for ShapeConstraint {
+        impl<D: DimName> $Trait<Dyn, D> for ShapeConstraint {
             type Representative = D;
         }
     )*}
@@ -82,10 +82,10 @@ impl<D: Dim> SameDimension<D, D> for ShapeConstraint {
     type Representative = D;
 }
 
-impl<D: DimName> SameDimension<D, Dynamic> for ShapeConstraint {
+impl<D: DimName> SameDimension<D, Dyn> for ShapeConstraint {
     type Representative = D;
 }
 
-impl<D: DimName> SameDimension<Dynamic, D> for ShapeConstraint {
+impl<D: DimName> SameDimension<Dyn, D> for ShapeConstraint {
     type Representative = D;
 }

src/base/construction.rs

@@ -19,7 +19,7 @@ use typenum::{self, Cmp, Greater};
 use simba::scalar::{ClosedAdd, ClosedMul};
 
 use crate::base::allocator::Allocator;
-use crate::base::dimension::{Dim, DimName, Dynamic, ToTypenum};
+use crate::base::dimension::{Dim, DimName, Dyn, ToTypenum};
 use crate::base::storage::RawStorage;
 use crate::base::{
     ArrayStorage, Const, DefaultAllocator, Matrix, OMatrix, OVector, Scalar, Unit, Vector,
@@ -317,12 +317,12 @@ where
     ///
     /// # Example
     /// ```
-    /// # use nalgebra::{Dynamic, DMatrix, Matrix, Const};
+    /// # use nalgebra::{Dyn, DMatrix, Matrix, Const};
     ///
     /// let vec = vec![0, 1, 2, 3, 4, 5];
     /// let vec_ptr = vec.as_ptr();
     ///
-    /// let matrix = Matrix::from_vec_generic(Dynamic::new(vec.len()), Const::<1>, vec);
+    /// let matrix = Matrix::from_vec_generic(Dyn(vec.len()), Const::<1>, vec);
     /// let matrix_storage_ptr = matrix.data.as_vec().as_ptr();
     ///
     /// // `matrix` is backed by exactly the same `Vec` as it was constructed from.
@@ -656,35 +656,35 @@ where
 }
 
 /// # Constructors of matrices with a dynamic number of columns
-impl<T: Scalar, R: DimName> OMatrix<T, R, Dynamic>
+impl<T: Scalar, R: DimName> OMatrix<T, R, Dyn>
 where
-    DefaultAllocator: Allocator<T, R, Dynamic>,
+    DefaultAllocator: Allocator<T, R, Dyn>,
 {
-    impl_constructors!(R, Dynamic;
+    impl_constructors!(R, Dyn;
                    => R: DimName;
-                   R::name(), Dynamic::new(ncols);
+                   R::name(), Dyn(ncols);
                    ncols);
 }
 
 /// # Constructors of dynamic vectors and matrices with a dynamic number of rows
-impl<T: Scalar, C: DimName> OMatrix<T, Dynamic, C>
+impl<T: Scalar, C: DimName> OMatrix<T, Dyn, C>
 where
-    DefaultAllocator: Allocator<T, Dynamic, C>,
+    DefaultAllocator: Allocator<T, Dyn, C>,
 {
-    impl_constructors!(Dynamic, C;
+    impl_constructors!(Dyn, C;
                    => C: DimName;
-                   Dynamic::new(nrows), C::name();
+                   Dyn(nrows), C::name();
                    nrows);
 }
 
 /// # Constructors of fully dynamic matrices
-impl<T: Scalar> OMatrix<T, Dynamic, Dynamic>
+impl<T: Scalar> OMatrix<T, Dyn, Dyn>
 where
-    DefaultAllocator: Allocator<T, Dynamic, Dynamic>,
+    DefaultAllocator: Allocator<T, Dyn, Dyn>,
 {
-    impl_constructors!(Dynamic, Dynamic;
+    impl_constructors!(Dyn, Dyn;
                    ;
-                   Dynamic::new(nrows), Dynamic::new(ncols);
+                   Dyn(nrows), Dyn(ncols);
                    nrows, ncols);
 }
 
@@ -790,19 +790,19 @@ impl_constructors_from_data!(data; R, C;                  // Arguments for Matri
 R::name(), C::name();         // Arguments for `_generic` constructors.
 ); // Arguments for non-generic constructors.
 
-impl_constructors_from_data!(data; R, Dynamic;
+impl_constructors_from_data!(data; R, Dyn;
 => R: DimName;
-R::name(), Dynamic::new(data.len() / R::dim());
+R::name(), Dyn(data.len() / R::dim());
 );
 
-impl_constructors_from_data!(data; Dynamic, C;
+impl_constructors_from_data!(data; Dyn, C;
 => C: DimName;
-Dynamic::new(data.len() / C::dim()), C::name();
+Dyn(data.len() / C::dim()), C::name();
 );
 
-impl_constructors_from_data!(data; Dynamic, Dynamic;
+impl_constructors_from_data!(data; Dyn, Dyn;
                             ;
-                            Dynamic::new(nrows), Dynamic::new(ncols);
+                            Dyn(nrows), Dyn(ncols);
                             nrows, ncols);
 
 /*

src/base/construction_view.rs

@@ -1,18 +1,18 @@
-use crate::base::dimension::{Const, Dim, DimName, Dynamic};
+use crate::base::dimension::{Const, Dim, DimName, Dyn};
-use crate::base::matrix_slice::{SliceStorage, SliceStorageMut};
+use crate::base::matrix_view::{ViewStorage, ViewStorageMut};
-use crate::base::{MatrixSlice, MatrixSliceMutMN, Scalar};
+use crate::base::{MatrixView, MatrixViewMut, Scalar};
 
 use num_rational::Ratio;
 
-/// # Creating matrix slices from `&[T]`
+/// # Creating matrix views from `&[T]`
 impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
-    MatrixSlice<'a, T, R, C, RStride, CStride>
+    MatrixView<'a, T, R, C, RStride, CStride>
 {
-    /// Creates, without bound-checking, a matrix slice from an array and with dimensions and strides specified by generic types instances.
+    /// Creates, without bounds checking, a matrix view from an array and with dimensions and strides specified by generic types instances.
     ///
     /// # Safety
     /// This method is unsafe because the input data array is not checked to contain enough elements.
-    /// The generic types `R`, `C`, `RStride`, `CStride` can either be type-level integers or integers wrapped with `Dynamic::new()`.
+    /// The generic types `R`, `C`, `RStride`, `CStride` can either be type-level integers or integers wrapped with `Dyn()`.
     #[inline]
     pub unsafe fn from_slice_with_strides_generic_unchecked(
         data: &'a [T],
@@ -22,7 +22,7 @@ impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
         rstride: RStride,
         cstride: CStride,
     ) -> Self {
-        let data = SliceStorage::from_raw_parts(
+        let data = ViewStorage::from_raw_parts(
             data.as_ptr().add(start),
             (nrows, ncols),
             (rstride, cstride),
@@ -30,10 +30,10 @@ impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
         Self::from_data(data)
     }
 
-    /// Creates a matrix slice from an array and with dimensions and strides specified by generic types instances.
+    /// Creates a matrix view from an array and with dimensions and strides specified by generic types instances.
     ///
     /// Panics if the input data array dose not contain enough elements.
-    /// The generic types `R`, `C`, `RStride`, `CStride` can either be type-level integers or integers wrapped with `Dynamic::new()`.
+    /// The generic types `R`, `C`, `RStride`, `CStride` can either be type-level integers or integers wrapped with `Dyn()`.
     #[inline]
     pub fn from_slice_with_strides_generic(
         data: &'a [T],
@@ -48,7 +48,7 @@ impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
         assert!(
             data.len() + cstride.value() + rstride.value()
                 >= ncols.value() * cstride.value() + nrows.value() * rstride.value() + 1,
-            "Matrix slice: input data buffer to small."
+            "Matrix view: input data buffer too small."
         );
 
         unsafe {
@@ -57,12 +57,12 @@ impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
     }
 }
 
-impl<'a, T: Scalar, R: Dim, C: Dim> MatrixSlice<'a, T, R, C> {
+impl<'a, T: Scalar, R: Dim, C: Dim> MatrixView<'a, T, R, C> {
-    /// Creates, without bound-checking, a matrix slice from an array and with dimensions specified by generic types instances.
+    /// Creates, without bound-checking, a matrix view from an array and with dimensions specified by generic types instances.
     ///
     /// # Safety
     /// This method is unsafe because the input data array is not checked to contain enough elements.
-    /// The generic types `R` and `C` can either be type-level integers or integers wrapped with `Dynamic::new()`.
+    /// The generic types `R` and `C` can either be type-level integers or integers wrapped with `Dyn()`.
     #[inline]
     pub unsafe fn from_slice_generic_unchecked(
         data: &'a [T],
@@ -75,10 +75,10 @@ impl<'a, T: Scalar, R: Dim, C: Dim> MatrixSlice<'a, T, R, C> {
         )
     }
 
-    /// Creates a matrix slice from an array and with dimensions and strides specified by generic types instances.
+    /// Creates a matrix view from an array and with dimensions and strides specified by generic types instances.
     ///
     /// Panics if the input data array dose not contain enough elements.
-    /// The generic types `R` and `C` can either be type-level integers or integers wrapped with `Dynamic::new()`.
+    /// The generic types `R` and `C` can either be type-level integers or integers wrapped with `Dyn()`.
     #[inline]
     pub fn from_slice_generic(data: &'a [T], nrows: R, ncols: C) -> Self {
         Self::from_slice_with_strides_generic(data, nrows, ncols, Const::<1>, nrows)
@@ -87,8 +87,8 @@ impl<'a, T: Scalar, R: Dim, C: Dim> MatrixSlice<'a, T, R, C> {
 
 macro_rules! impl_constructors(
     ($($Dims: ty),*; $(=> $DimIdent: ident: $DimBound: ident),*; $($gargs: expr),*; $($args: ident),*) => {
-        impl<'a, T: Scalar, $($DimIdent: $DimBound),*> MatrixSlice<'a, T, $($Dims),*> {
+        impl<'a, T: Scalar, $($DimIdent: $DimBound),*> MatrixView<'a, T, $($Dims),*> {
-            /// Creates a new matrix slice from the given data array.
+            /// Creates a new matrix view from the given data array.
             ///
             /// Panics if `data` does not contain enough elements.
             #[inline]
@@ -96,26 +96,26 @@ macro_rules! impl_constructors(
                 Self::from_slice_generic(data, $($gargs),*)
             }
 
-            /// Creates, without bound checking, a new matrix slice from the given data array.
+            /// Creates, without bound checking, a new matrix view from the given data array.
             #[inline]
             pub unsafe fn from_slice_unchecked(data: &'a [T], start: usize, $($args: usize),*) -> Self {
                 Self::from_slice_generic_unchecked(data, start, $($gargs),*)
             }
         }
 
-        impl<'a, T: Scalar, $($DimIdent: $DimBound, )*> MatrixSlice<'a, T, $($Dims,)* Dynamic, Dynamic> {
+        impl<'a, T: Scalar, $($DimIdent: $DimBound, )*> MatrixView<'a, T, $($Dims,)* Dyn, Dyn> {
-            /// Creates a new matrix slice with the specified strides from the given data array.
+            /// Creates a new matrix view with the specified strides from the given data array.
             ///
             /// Panics if `data` does not contain enough elements.
             #[inline]
             pub fn from_slice_with_strides(data: &'a [T], $($args: usize,)* rstride: usize, cstride: usize) -> Self {
-                Self::from_slice_with_strides_generic(data, $($gargs,)* Dynamic::new(rstride), Dynamic::new(cstride))
+                Self::from_slice_with_strides_generic(data, $($gargs,)* Dyn(rstride), Dyn(cstride))
             }
 
-            /// Creates, without bound checking, a new matrix slice with the specified strides from the given data array.
+            /// Creates, without bound checking, a new matrix view with the specified strides from the given data array.
             #[inline]
             pub unsafe fn from_slice_with_strides_unchecked(data: &'a [T], start: usize, $($args: usize,)* rstride: usize, cstride: usize) -> Self {
-                Self::from_slice_with_strides_generic_unchecked(data, start, $($gargs,)* Dynamic::new(rstride), Dynamic::new(cstride))
+                Self::from_slice_with_strides_generic_unchecked(data, start, $($gargs,)* Dyn(rstride), Dyn(cstride))
             }
         }
     }
@@ -127,30 +127,30 @@ impl_constructors!(R, C;                         // Arguments for Matrix<T, ...,
 R::name(), C::name();         // Arguments for `_generic` constructors.
 ); // Arguments for non-generic constructors.
 
-impl_constructors!(R, Dynamic;
+impl_constructors!(R, Dyn;
                    => R: DimName;
-                   R::name(), Dynamic::new(ncols);
+                   R::name(), Dyn(ncols);
                    ncols);
 
-impl_constructors!(Dynamic, C;
+impl_constructors!(Dyn, C;
                    => C: DimName;
-                   Dynamic::new(nrows), C::name();
+                   Dyn(nrows), C::name();
                    nrows);
 
-impl_constructors!(Dynamic, Dynamic;
+impl_constructors!(Dyn, Dyn;
                    ;
-                   Dynamic::new(nrows), Dynamic::new(ncols);
+                   Dyn(nrows), Dyn(ncols);
                    nrows, ncols);
 
-/// # Creating mutable matrix slices from `&mut [T]`
+/// # Creating mutable matrix views from `&mut [T]`
 impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
-    MatrixSliceMutMN<'a, T, R, C, RStride, CStride>
+    MatrixViewMut<'a, T, R, C, RStride, CStride>
 {
-    /// Creates, without bound-checking, a mutable matrix slice from an array and with dimensions and strides specified by generic types instances.
+    /// Creates, without bound-checking, a mutable matrix view from an array and with dimensions and strides specified by generic types instances.
     ///
     /// # Safety
     /// This method is unsafe because the input data array is not checked to contain enough elements.
-    /// The generic types `R`, `C`, `RStride`, `CStride` can either be type-level integers or integers wrapped with `Dynamic::new()`.
+    /// The generic types `R`, `C`, `RStride`, `CStride` can either be type-level integers or integers wrapped with `Dyn()`.
     #[inline]
     pub unsafe fn from_slice_with_strides_generic_unchecked(
         data: &'a mut [T],
@@ -160,7 +160,7 @@ impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
         rstride: RStride,
         cstride: CStride,
     ) -> Self {
-        let data = SliceStorageMut::from_raw_parts(
+        let data = ViewStorageMut::from_raw_parts(
             data.as_mut_ptr().add(start),
             (nrows, ncols),
             (rstride, cstride),
@@ -168,10 +168,10 @@ impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
         Self::from_data(data)
     }
 
-    /// Creates a mutable matrix slice from an array and with dimensions and strides specified by generic types instances.
+    /// Creates a mutable matrix view from an array and with dimensions and strides specified by generic types instances.
     ///
     /// Panics if the input data array dose not contain enough elements.
-    /// The generic types `R`, `C`, `RStride`, `CStride` can either be type-level integers or integers wrapped with `Dynamic::new()`.
+    /// The generic types `R`, `C`, `RStride`, `CStride` can either be type-level integers or integers wrapped with `Dyn()`.
     #[inline]
     pub fn from_slice_with_strides_generic(
         data: &'a mut [T],
@@ -186,7 +186,7 @@ impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
         assert!(
             data.len() + cstride.value() + rstride.value()
                 >= ncols.value() * cstride.value() + nrows.value() * rstride.value() + 1,
-            "Matrix slice: input data buffer to small."
+            "Matrix view: input data buffer too small."
         );
 
         assert!(
@@ -208,7 +208,7 @@ impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
                         }
                     }
             },
-            "Matrix slice: dimensions and strides result in aliased indices."
+            "Matrix view: dimensions and strides result in aliased indices."
         );
 
         unsafe {
@@ -217,12 +217,12 @@ impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
     }
 }
 
-impl<'a, T: Scalar, R: Dim, C: Dim> MatrixSliceMutMN<'a, T, R, C> {
+impl<'a, T: Scalar, R: Dim, C: Dim> MatrixViewMut<'a, T, R, C> {
-    /// Creates, without bound-checking, a mutable matrix slice from an array and with dimensions specified by generic types instances.
+    /// Creates, without bound-checking, a mutable matrix view from an array and with dimensions specified by generic types instances.
     ///
     /// # Safety
     /// This method is unsafe because the input data array is not checked to contain enough elements.
-    /// The generic types `R` and `C` can either be type-level integers or integers wrapped with `Dynamic::new()`.
+    /// The generic types `R` and `C` can either be type-level integers or integers wrapped with `Dyn()`.
     #[inline]
     pub unsafe fn from_slice_generic_unchecked(
         data: &'a mut [T],
@@ -235,10 +235,10 @@ impl<'a, T: Scalar, R: Dim, C: Dim> MatrixSliceMutMN<'a, T, R, C> {
         )
     }
 
-    /// Creates a mutable matrix slice from an array and with dimensions and strides specified by generic types instances.
+    /// Creates a mutable matrix view from an array and with dimensions and strides specified by generic types instances.
     ///
     /// Panics if the input data array dose not contain enough elements.
-    /// The generic types `R` and `C` can either be type-level integers or integers wrapped with `Dynamic::new()`.
+    /// The generic types `R` and `C` can either be type-level integers or integers wrapped with `Dyn()`.
     #[inline]
     pub fn from_slice_generic(data: &'a mut [T], nrows: R, ncols: C) -> Self {
         Self::from_slice_with_strides_generic(data, nrows, ncols, Const::<1>, nrows)
@@ -247,8 +247,8 @@ impl<'a, T: Scalar, R: Dim, C: Dim> MatrixSliceMutMN<'a, T, R, C> {
 
 macro_rules! impl_constructors_mut(
     ($($Dims: ty),*; $(=> $DimIdent: ident: $DimBound: ident),*; $($gargs: expr),*; $($args: ident),*) => {
-        impl<'a, T: Scalar, $($DimIdent: $DimBound),*> MatrixSliceMutMN<'a, T, $($Dims),*> {
+        impl<'a, T: Scalar, $($DimIdent: $DimBound),*> MatrixViewMut<'a, T, $($Dims),*> {
-            /// Creates a new mutable matrix slice from the given data array.
+            /// Creates a new mutable matrix view from the given data array.
             ///
             /// Panics if `data` does not contain enough elements.
             #[inline]
@@ -256,28 +256,28 @@ macro_rules! impl_constructors_mut(
                 Self::from_slice_generic(data, $($gargs),*)
             }
 
-            /// Creates, without bound checking, a new mutable matrix slice from the given data array.
+            /// Creates, without bound checking, a new mutable matrix view from the given data array.
             #[inline]
             pub unsafe fn from_slice_unchecked(data: &'a mut [T], start: usize, $($args: usize),*) -> Self {
                 Self::from_slice_generic_unchecked(data, start, $($gargs),*)
             }
         }
 
-        impl<'a, T: Scalar, $($DimIdent: $DimBound, )*> MatrixSliceMutMN<'a, T, $($Dims,)* Dynamic, Dynamic> {
+        impl<'a, T: Scalar, $($DimIdent: $DimBound, )*> MatrixViewMut<'a, T, $($Dims,)* Dyn, Dyn> {
-            /// Creates a new mutable matrix slice with the specified strides from the given data array.
+            /// Creates a new mutable matrix view with the specified strides from the given data array.
             ///
             /// Panics if `data` does not contain enough elements.
             #[inline]
             pub fn from_slice_with_strides_mut(data: &'a mut [T], $($args: usize,)* rstride: usize, cstride: usize) -> Self {
                 Self::from_slice_with_strides_generic(
-                    data, $($gargs,)* Dynamic::new(rstride), Dynamic::new(cstride))
+                    data, $($gargs,)* Dyn(rstride), Dyn(cstride))
             }
 
-            /// Creates, without bound checking, a new mutable matrix slice with the specified strides from the given data array.
+            /// Creates, without bound checking, a new mutable matrix view with the specified strides from the given data array.
             #[inline]
             pub unsafe fn from_slice_with_strides_unchecked(data: &'a mut [T], start: usize, $($args: usize,)* rstride: usize, cstride: usize) -> Self {
                 Self::from_slice_with_strides_generic_unchecked(
-                    data, start, $($gargs,)* Dynamic::new(rstride), Dynamic::new(cstride))
+                    data, start, $($gargs,)* Dyn(rstride), Dyn(cstride))
             }
         }
     }
@@ -289,17 +289,17 @@ impl_constructors_mut!(R, C;                         // Arguments for Matrix<T,
 R::name(), C::name();         // Arguments for `_generic` constructors.
 ); // Arguments for non-generic constructors.
 
-impl_constructors_mut!(R, Dynamic;
+impl_constructors_mut!(R, Dyn;
                        => R: DimName;
-                       R::name(), Dynamic::new(ncols);
+                       R::name(), Dyn(ncols);
                        ncols);
 
-impl_constructors_mut!(Dynamic, C;
+impl_constructors_mut!(Dyn, C;
                        => C: DimName;
-                       Dynamic::new(nrows), C::name();
+                       Dyn(nrows), C::name();
                        nrows);
 
-impl_constructors_mut!(Dynamic, Dynamic;
+impl_constructors_mut!(Dyn, Dyn;
                        ;
-                       Dynamic::new(nrows), Dynamic::new(ncols);
+                       Dyn(nrows), Dyn(ncols);
                        nrows, ncols);

src/base/conversion.rs

@@ -9,21 +9,21 @@ use simba::simd::{PrimitiveSimdValue, SimdValue};
 use crate::base::allocator::{Allocator, SameShapeAllocator};
 use crate::base::constraint::{SameNumberOfColumns, SameNumberOfRows, ShapeConstraint};
 #[cfg(any(feature = "std", feature = "alloc"))]
-use crate::base::dimension::Dynamic;
+use crate::base::dimension::Dyn;
 use crate::base::dimension::{
     Const, Dim, DimName, U1, U10, U11, U12, U13, U14, U15, U16, U2, U3, U4, U5, U6, U7, U8, U9,
 };
 use crate::base::iter::{MatrixIter, MatrixIterMut};
 use crate::base::storage::{IsContiguous, RawStorage, RawStorageMut};
 use crate::base::{
-    ArrayStorage, DVectorSlice, DVectorSliceMut, DefaultAllocator, Matrix, MatrixSlice,
+    ArrayStorage, DVectorView, DVectorViewMut, DefaultAllocator, Matrix, MatrixView, MatrixViewMut,
-    MatrixSliceMut, OMatrix, Scalar,
+    OMatrix, Scalar,
 };
 #[cfg(any(feature = "std", feature = "alloc"))]
 use crate::base::{DVector, RowDVector, VecStorage};
-use crate::base::{SliceStorage, SliceStorageMut};
+use crate::base::{ViewStorage, ViewStorageMut};
 use crate::constraint::DimEq;
-use crate::{IsNotStaticOne, RowSVector, SMatrix, SVector, VectorSlice, VectorSliceMut};
+use crate::{IsNotStaticOne, RowSVector, SMatrix, SVector, VectorView, VectorViewMut};
 use std::mem::MaybeUninit;
 
 // TODO: too bad this won't work for slice conversions.
@@ -126,19 +126,19 @@ impl<T: Scalar, const D: usize> From<SVector<T, D>> for [T; D] {
 }
 
 impl<'a, T: Scalar, RStride: Dim, CStride: Dim, const D: usize>
-    From<VectorSlice<'a, T, Const<D>, RStride, CStride>> for [T; D]
+    From<VectorView<'a, T, Const<D>, RStride, CStride>> for [T; D]
 {
     #[inline]
-    fn from(vec: VectorSlice<'a, T, Const<D>, RStride, CStride>) -> Self {
+    fn from(vec: VectorView<'a, T, Const<D>, RStride, CStride>) -> Self {
         vec.into_owned().into()
     }
 }
 
 impl<'a, T: Scalar, RStride: Dim, CStride: Dim, const D: usize>
-    From<VectorSliceMut<'a, T, Const<D>, RStride, CStride>> for [T; D]
+    From<VectorViewMut<'a, T, Const<D>, RStride, CStride>> for [T; D]
 {
     #[inline]
-    fn from(vec: VectorSliceMut<'a, T, Const<D>, RStride, CStride>) -> Self {
+    fn from(vec: VectorViewMut<'a, T, Const<D>, RStride, CStride>) -> Self {
         vec.into_owned().into()
     }
 }
@@ -221,19 +221,19 @@ impl<T: Scalar, const R: usize, const C: usize> From<SMatrix<T, R, C>> for [[T;
 }
 
 impl<'a, T: Scalar, RStride: Dim, CStride: Dim, const R: usize, const C: usize>
-    From<MatrixSlice<'a, T, Const<R>, Const<C>, RStride, CStride>> for [[T; R]; C]
+    From<MatrixView<'a, T, Const<R>, Const<C>, RStride, CStride>> for [[T; R]; C]
 {
     #[inline]
-    fn from(mat: MatrixSlice<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
+    fn from(mat: MatrixView<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
         mat.into_owned().into()
     }
 }
 
 impl<'a, T: Scalar, RStride: Dim, CStride: Dim, const R: usize, const C: usize>
-    From<MatrixSliceMut<'a, T, Const<R>, Const<C>, RStride, CStride>> for [[T; R]; C]
+    From<MatrixViewMut<'a, T, Const<R>, Const<C>, RStride, CStride>> for [[T; R]; C]
 {
     #[inline]
-    fn from(mat: MatrixSliceMut<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
+    fn from(mat: MatrixViewMut<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
         mat.into_owned().into()
     }
 }
@@ -289,192 +289,183 @@ impl_from_into_asref_borrow_2D!(
 );
 
 impl<'a, T, RStride, CStride, const R: usize, const C: usize>
-    From<MatrixSlice<'a, T, Const<R>, Const<C>, RStride, CStride>>
+    From<MatrixView<'a, T, Const<R>, Const<C>, RStride, CStride>>
     for Matrix<T, Const<R>, Const<C>, ArrayStorage<T, R, C>>
 where
     T: Scalar,
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSlice<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
+    fn from(matrix_view: MatrixView<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+        matrix_view.into_owned()
     }
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<'a, T, C, RStride, CStride> From<MatrixSlice<'a, T, Dynamic, C, RStride, CStride>>
+impl<'a, T, C, RStride, CStride> From<MatrixView<'a, T, Dyn, C, RStride, CStride>>
-    for Matrix<T, Dynamic, C, VecStorage<T, Dynamic, C>>
+    for Matrix<T, Dyn, C, VecStorage<T, Dyn, C>>
 where
     T: Scalar,
     C: Dim,
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSlice<'a, T, Dynamic, C, RStride, CStride>) -> Self {
+    fn from(matrix_view: MatrixView<'a, T, Dyn, C, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+        matrix_view.into_owned()
     }
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<'a, T, R, RStride, CStride> From<MatrixSlice<'a, T, R, Dynamic, RStride, CStride>>
+impl<'a, T, R, RStride, CStride> From<MatrixView<'a, T, R, Dyn, RStride, CStride>>
-    for Matrix<T, R, Dynamic, VecStorage<T, R, Dynamic>>
+    for Matrix<T, R, Dyn, VecStorage<T, R, Dyn>>
 where
     T: Scalar,
     R: DimName,
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSlice<'a, T, R, Dynamic, RStride, CStride>) -> Self {
+    fn from(matrix_view: MatrixView<'a, T, R, Dyn, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+        matrix_view.into_owned()
     }
 }
 
 impl<'a, T, RStride, CStride, const R: usize, const C: usize>
-    From<MatrixSliceMut<'a, T, Const<R>, Const<C>, RStride, CStride>>
+    From<MatrixViewMut<'a, T, Const<R>, Const<C>, RStride, CStride>>
     for Matrix<T, Const<R>, Const<C>, ArrayStorage<T, R, C>>
 where
     T: Scalar,
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSliceMut<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
+    fn from(matrix_view: MatrixViewMut<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+        matrix_view.into_owned()
     }
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<'a, T, C, RStride, CStride> From<MatrixSliceMut<'a, T, Dynamic, C, RStride, CStride>>
+impl<'a, T, C, RStride, CStride> From<MatrixViewMut<'a, T, Dyn, C, RStride, CStride>>
-    for Matrix<T, Dynamic, C, VecStorage<T, Dynamic, C>>
+    for Matrix<T, Dyn, C, VecStorage<T, Dyn, C>>
 where
     T: Scalar,
     C: Dim,
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSliceMut<'a, T, Dynamic, C, RStride, CStride>) -> Self {
+    fn from(matrix_view: MatrixViewMut<'a, T, Dyn, C, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+        matrix_view.into_owned()
     }
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<'a, T, R, RStride, CStride> From<MatrixSliceMut<'a, T, R, Dynamic, RStride, CStride>>
+impl<'a, T, R, RStride, CStride> From<MatrixViewMut<'a, T, R, Dyn, RStride, CStride>>
-    for Matrix<T, R, Dynamic, VecStorage<T, R, Dynamic>>
+    for Matrix<T, R, Dyn, VecStorage<T, R, Dyn>>
 where
     T: Scalar,
     R: DimName,
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSliceMut<'a, T, R, Dynamic, RStride, CStride>) -> Self {
+    fn from(matrix_view: MatrixViewMut<'a, T, R, Dyn, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+        matrix_view.into_owned()
     }
 }
 
-impl<'a, T, R, C, RSlice, CSlice, RStride, CStride, S> From<&'a Matrix<T, R, C, S>>
+impl<'a, T, R, C, RView, CView, RStride, CStride, S> From<&'a Matrix<T, R, C, S>>
-    for MatrixSlice<'a, T, RSlice, CSlice, RStride, CStride>
+    for MatrixView<'a, T, RView, CView, RStride, CStride>
 where
-    T: Scalar,
     R: Dim,
     C: Dim,
-    RSlice: Dim,
+    RView: Dim,
-    CSlice: Dim,
+    CView: Dim,
     RStride: Dim,
     CStride: Dim,
     S: RawStorage<T, R, C>,
-    ShapeConstraint: DimEq<R, RSlice>
+    ShapeConstraint:
-        + DimEq<C, CSlice>
+        DimEq<R, RView> + DimEq<C, CView> + DimEq<RStride, S::RStride> + DimEq<CStride, S::CStride>,
-        + DimEq<RStride, S::RStride>
-        + DimEq<CStride, S::CStride>,
 {
     fn from(m: &'a Matrix<T, R, C, S>) -> Self {
         let (row, col) = m.shape_generic();
-        let row_slice = RSlice::from_usize(row.value());
+        let rows_result = RView::from_usize(row.value());
-        let col_slice = CSlice::from_usize(col.value());
+        let cols_result = CView::from_usize(col.value());
 
         let (rstride, cstride) = m.strides();
 
-        let rstride_slice = RStride::from_usize(rstride);
+        let rstride_result = RStride::from_usize(rstride);
-        let cstride_slice = CStride::from_usize(cstride);
+        let cstride_result = CStride::from_usize(cstride);
 
         unsafe {
-            let data = SliceStorage::from_raw_parts(
+            let data = ViewStorage::from_raw_parts(
                 m.data.ptr(),
-                (row_slice, col_slice),
+                (rows_result, cols_result),
-                (rstride_slice, cstride_slice),
+                (rstride_result, cstride_result),
             );
             Matrix::from_data_statically_unchecked(data)
         }
     }
 }
 
-impl<'a, T, R, C, RSlice, CSlice, RStride, CStride, S> From<&'a mut Matrix<T, R, C, S>>
+impl<'a, T, R, C, RView, CView, RStride, CStride, S> From<&'a mut Matrix<T, R, C, S>>
-    for MatrixSlice<'a, T, RSlice, CSlice, RStride, CStride>
+    for MatrixView<'a, T, RView, CView, RStride, CStride>
 where
-    T: Scalar,
     R: Dim,
     C: Dim,
-    RSlice: Dim,
+    RView: Dim,
-    CSlice: Dim,
+    CView: Dim,
     RStride: Dim,
     CStride: Dim,
     S: RawStorage<T, R, C>,
-    ShapeConstraint: DimEq<R, RSlice>
+    ShapeConstraint:
-        + DimEq<C, CSlice>
+        DimEq<R, RView> + DimEq<C, CView> + DimEq<RStride, S::RStride> + DimEq<CStride, S::CStride>,
-        + DimEq<RStride, S::RStride>
-        + DimEq<CStride, S::CStride>,
 {
     fn from(m: &'a mut Matrix<T, R, C, S>) -> Self {
         let (row, col) = m.shape_generic();
-        let row_slice = RSlice::from_usize(row.value());
+        let rows_result = RView::from_usize(row.value());
-        let col_slice = CSlice::from_usize(col.value());
+        let cols_result = CView::from_usize(col.value());
 
         let (rstride, cstride) = m.strides();
 
-        let rstride_slice = RStride::from_usize(rstride);
+        let rstride_result = RStride::from_usize(rstride);
-        let cstride_slice = CStride::from_usize(cstride);
+        let cstride_result = CStride::from_usize(cstride);
 
         unsafe {
-            let data = SliceStorage::from_raw_parts(
+            let data = ViewStorage::from_raw_parts(
                 m.data.ptr(),
-                (row_slice, col_slice),
+                (rows_result, cols_result),
-                (rstride_slice, cstride_slice),
+                (rstride_result, cstride_result),
             );
             Matrix::from_data_statically_unchecked(data)
         }
     }
 }
 
-impl<'a, T, R, C, RSlice, CSlice, RStride, CStride, S> From<&'a mut Matrix<T, R, C, S>>
+impl<'a, T, R, C, RView, CView, RStride, CStride, S> From<&'a mut Matrix<T, R, C, S>>
-    for MatrixSliceMut<'a, T, RSlice, CSlice, RStride, CStride>
+    for MatrixViewMut<'a, T, RView, CView, RStride, CStride>
 where
-    T: Scalar,
     R: Dim,
     C: Dim,
-    RSlice: Dim,
+    RView: Dim,
-    CSlice: Dim,
+    CView: Dim,
     RStride: Dim,
     CStride: Dim,
     S: RawStorageMut<T, R, C>,
-    ShapeConstraint: DimEq<R, RSlice>
+    ShapeConstraint:
-        + DimEq<C, CSlice>
+        DimEq<R, RView> + DimEq<C, CView> + DimEq<RStride, S::RStride> + DimEq<CStride, S::CStride>,
-        + DimEq<RStride, S::RStride>
-        + DimEq<CStride, S::CStride>,
 {
     fn from(m: &'a mut Matrix<T, R, C, S>) -> Self {
         let (row, col) = m.shape_generic();
-        let row_slice = RSlice::from_usize(row.value());
+        let rows_result = RView::from_usize(row.value());
-        let col_slice = CSlice::from_usize(col.value());
+        let cols_result = CView::from_usize(col.value());
 
         let (rstride, cstride) = m.strides();
 
-        let rstride_slice = RStride::from_usize(rstride);
+        let rstride_result = RStride::from_usize(rstride);
-        let cstride_slice = CStride::from_usize(cstride);
+        let cstride_result = CStride::from_usize(cstride);
 
         unsafe {
-            let data = SliceStorageMut::from_raw_parts(
+            let data = ViewStorageMut::from_raw_parts(
                 m.data.ptr_mut(),
-                (row_slice, col_slice),
+                (rows_result, cols_result),
-                (rstride_slice, cstride_slice),
+                (rstride_result, cstride_result),
             );
             Matrix::from_data_statically_unchecked(data)
         }
@@ -515,28 +506,28 @@ impl<'a, T: Scalar + Copy, R: Dim, C: Dim, S: RawStorageMut<T, R, C> + IsContigu
     }
 }
 
-impl<'a, T: Scalar + Copy> From<&'a [T]> for DVectorSlice<'a, T> {
+impl<'a, T: Scalar + Copy> From<&'a [T]> for DVectorView<'a, T> {
     #[inline]
     fn from(slice: &'a [T]) -> Self {
         Self::from_slice(slice, slice.len())
     }
 }
 
-impl<'a, T: Scalar> From<DVectorSlice<'a, T>> for &'a [T] {
+impl<'a, T: Scalar> From<DVectorView<'a, T>> for &'a [T] {
-    fn from(vec: DVectorSlice<'a, T>) -> &'a [T] {
+    fn from(vec: DVectorView<'a, T>) -> &'a [T] {
         vec.data.into_slice()
     }
 }
 
-impl<'a, T: Scalar + Copy> From<&'a mut [T]> for DVectorSliceMut<'a, T> {
+impl<'a, T: Scalar + Copy> From<&'a mut [T]> for DVectorViewMut<'a, T> {
     #[inline]
     fn from(slice: &'a mut [T]) -> Self {
         Self::from_slice(slice, slice.len())
     }
 }
 
-impl<'a, T: Scalar> From<DVectorSliceMut<'a, T>> for &'a mut [T] {
+impl<'a, T: Scalar> From<DVectorViewMut<'a, T>> for &'a mut [T] {
-    fn from(vec: DVectorSliceMut<'a, T>) -> &'a mut [T] {
+    fn from(vec: DVectorViewMut<'a, T>) -> &'a mut [T] {
         vec.data.into_slice_mut()
     }
 }

src/base/default_allocator.rs

@@ -13,7 +13,7 @@ use super::Const;
 use crate::base::allocator::{Allocator, Reallocator};
 use crate::base::array_storage::ArrayStorage;
 #[cfg(any(feature = "alloc", feature = "std"))]
-use crate::base::dimension::Dynamic;
+use crate::base::dimension::Dyn;
 use crate::base::dimension::{Dim, DimName};
 use crate::base::storage::{RawStorage, RawStorageMut};
 #[cfg(any(feature = "std", feature = "alloc"))]
@@ -82,15 +82,15 @@ impl<T: Scalar, const R: usize, const C: usize> Allocator<T, Const<R>, Const<C>>
     }
 }
 
-// Dynamic - Static
+// Dyn - Static
-// Dynamic - Dynamic
+// Dyn - Dyn
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T: Scalar, C: Dim> Allocator<T, Dynamic, C> for DefaultAllocator {
+impl<T: Scalar, C: Dim> Allocator<T, Dyn, C> for DefaultAllocator {
-    type Buffer = VecStorage<T, Dynamic, C>;
+    type Buffer = VecStorage<T, Dyn, C>;
-    type BufferUninit = VecStorage<MaybeUninit<T>, Dynamic, C>;
+    type BufferUninit = VecStorage<MaybeUninit<T>, Dyn, C>;
 
     #[inline]
-    fn allocate_uninit(nrows: Dynamic, ncols: C) -> VecStorage<MaybeUninit<T>, Dynamic, C> {
+    fn allocate_uninit(nrows: Dyn, ncols: C) -> VecStorage<MaybeUninit<T>, Dyn, C> {
         let mut data = Vec::new();
         let length = nrows.value() * ncols.value();
         data.reserve_exact(length);
@@ -99,9 +99,7 @@ impl<T: Scalar, C: Dim> Allocator<T, Dynamic, C> for DefaultAllocator {
     }
 
     #[inline]
-    unsafe fn assume_init(
+    unsafe fn assume_init(uninit: VecStorage<MaybeUninit<T>, Dyn, C>) -> VecStorage<T, Dyn, C> {
-        uninit: VecStorage<MaybeUninit<T>, Dynamic, C>,
-    ) -> VecStorage<T, Dynamic, C> {
         // Avoids a double-drop.
         let (nrows, ncols) = uninit.shape();
         let vec: Vec<_> = uninit.into();
@@ -117,7 +115,7 @@ impl<T: Scalar, C: Dim> Allocator<T, Dynamic, C> for DefaultAllocator {
 
     #[inline]
     fn allocate_from_iterator<I: IntoIterator<Item = T>>(
-        nrows: Dynamic,
+        nrows: Dyn,
         ncols: C,
         iter: I,
     ) -> Self::Buffer {
@@ -130,14 +128,14 @@ impl<T: Scalar, C: Dim> Allocator<T, Dynamic, C> for DefaultAllocator {
     }
 }
 
-// Static - Dynamic
+// Static - Dyn
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T: Scalar, R: DimName> Allocator<T, R, Dynamic> for DefaultAllocator {
+impl<T: Scalar, R: DimName> Allocator<T, R, Dyn> for DefaultAllocator {
-    type Buffer = VecStorage<T, R, Dynamic>;
+    type Buffer = VecStorage<T, R, Dyn>;
-    type BufferUninit = VecStorage<MaybeUninit<T>, R, Dynamic>;
+    type BufferUninit = VecStorage<MaybeUninit<T>, R, Dyn>;
 
     #[inline]
-    fn allocate_uninit(nrows: R, ncols: Dynamic) -> VecStorage<MaybeUninit<T>, R, Dynamic> {
+    fn allocate_uninit(nrows: R, ncols: Dyn) -> VecStorage<MaybeUninit<T>, R, Dyn> {
         let mut data = Vec::new();
         let length = nrows.value() * ncols.value();
         data.reserve_exact(length);
@@ -147,9 +145,7 @@ impl<T: Scalar, R: DimName> Allocator<T, R, Dynamic> for DefaultAllocator {
     }
 
     #[inline]
-    unsafe fn assume_init(
+    unsafe fn assume_init(uninit: VecStorage<MaybeUninit<T>, R, Dyn>) -> VecStorage<T, R, Dyn> {
-        uninit: VecStorage<MaybeUninit<T>, R, Dynamic>,
-    ) -> VecStorage<T, R, Dynamic> {
         // Avoids a double-drop.
         let (nrows, ncols) = uninit.shape();
         let vec: Vec<_> = uninit.into();
@@ -166,7 +162,7 @@ impl<T: Scalar, R: DimName> Allocator<T, R, Dynamic> for DefaultAllocator {
     #[inline]
     fn allocate_from_iterator<I: IntoIterator<Item = T>>(
         nrows: R,
-        ncols: Dynamic,
+        ncols: Dyn,
         iter: I,
     ) -> Self::Buffer {
         let it = iter.into_iter();
@@ -215,20 +211,20 @@ where
     }
 }
 
-// Static × Static -> Dynamic × Any
+// Static × Static -> Dyn × Any
 #[cfg(any(feature = "std", feature = "alloc"))]
 impl<T: Scalar, CTo, const RFROM: usize, const CFROM: usize>
-    Reallocator<T, Const<RFROM>, Const<CFROM>, Dynamic, CTo> for DefaultAllocator
+    Reallocator<T, Const<RFROM>, Const<CFROM>, Dyn, CTo> for DefaultAllocator
 where
     CTo: Dim,
 {
     #[inline]
     unsafe fn reallocate_copy(
-        rto: Dynamic,
+        rto: Dyn,
         cto: CTo,
         buf: ArrayStorage<T, RFROM, CFROM>,
-    ) -> VecStorage<MaybeUninit<T>, Dynamic, CTo> {
+    ) -> VecStorage<MaybeUninit<T>, Dyn, CTo> {
-        let mut res = <Self as Allocator<T, Dynamic, CTo>>::allocate_uninit(rto, cto);
+        let mut res = <Self as Allocator<T, Dyn, CTo>>::allocate_uninit(rto, cto);
 
         let (rfrom, cfrom) = buf.shape();
 
@@ -246,20 +242,20 @@ where
     }
 }
 
-// Static × Static -> Static × Dynamic
+// Static × Static -> Static × Dyn
 #[cfg(any(feature = "std", feature = "alloc"))]
 impl<T: Scalar, RTo, const RFROM: usize, const CFROM: usize>
-    Reallocator<T, Const<RFROM>, Const<CFROM>, RTo, Dynamic> for DefaultAllocator
+    Reallocator<T, Const<RFROM>, Const<CFROM>, RTo, Dyn> for DefaultAllocator
 where
     RTo: DimName,
 {
     #[inline]
     unsafe fn reallocate_copy(
         rto: RTo,
-        cto: Dynamic,
+        cto: Dyn,
         buf: ArrayStorage<T, RFROM, CFROM>,
-    ) -> VecStorage<MaybeUninit<T>, RTo, Dynamic> {
+    ) -> VecStorage<MaybeUninit<T>, RTo, Dyn> {
-        let mut res = <Self as Allocator<T, RTo, Dynamic>>::allocate_uninit(rto, cto);
+        let mut res = <Self as Allocator<T, RTo, Dyn>>::allocate_uninit(rto, cto);
 
         let (rfrom, cfrom) = buf.shape();
 
@@ -279,60 +275,58 @@ where
 
 // All conversion from a dynamic buffer to a dynamic buffer.
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T: Scalar, CFrom: Dim, CTo: Dim> Reallocator<T, Dynamic, CFrom, Dynamic, CTo>
+impl<T: Scalar, CFrom: Dim, CTo: Dim> Reallocator<T, Dyn, CFrom, Dyn, CTo> for DefaultAllocator {
-    for DefaultAllocator
-{
     #[inline]
     unsafe fn reallocate_copy(
-        rto: Dynamic,
+        rto: Dyn,
         cto: CTo,
-        buf: VecStorage<T, Dynamic, CFrom>,
+        buf: VecStorage<T, Dyn, CFrom>,
-    ) -> VecStorage<MaybeUninit<T>, Dynamic, CTo> {
+    ) -> VecStorage<MaybeUninit<T>, Dyn, CTo> {
         let new_buf = buf.resize(rto.value() * cto.value());
         VecStorage::new(rto, cto, new_buf)
     }
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T: Scalar, CFrom: Dim, RTo: DimName> Reallocator<T, Dynamic, CFrom, RTo, Dynamic>
+impl<T: Scalar, CFrom: Dim, RTo: DimName> Reallocator<T, Dyn, CFrom, RTo, Dyn>
     for DefaultAllocator
 {
     #[inline]
     unsafe fn reallocate_copy(
         rto: RTo,
-        cto: Dynamic,
+        cto: Dyn,
-        buf: VecStorage<T, Dynamic, CFrom>,
+        buf: VecStorage<T, Dyn, CFrom>,
-    ) -> VecStorage<MaybeUninit<T>, RTo, Dynamic> {
+    ) -> VecStorage<MaybeUninit<T>, RTo, Dyn> {
         let new_buf = buf.resize(rto.value() * cto.value());
         VecStorage::new(rto, cto, new_buf)
     }
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T: Scalar, RFrom: DimName, CTo: Dim> Reallocator<T, RFrom, Dynamic, Dynamic, CTo>
+impl<T: Scalar, RFrom: DimName, CTo: Dim> Reallocator<T, RFrom, Dyn, Dyn, CTo>
     for DefaultAllocator
 {
     #[inline]
     unsafe fn reallocate_copy(
-        rto: Dynamic,
+        rto: Dyn,
         cto: CTo,
-        buf: VecStorage<T, RFrom, Dynamic>,
+        buf: VecStorage<T, RFrom, Dyn>,
-    ) -> VecStorage<MaybeUninit<T>, Dynamic, CTo> {
+    ) -> VecStorage<MaybeUninit<T>, Dyn, CTo> {
         let new_buf = buf.resize(rto.value() * cto.value());
         VecStorage::new(rto, cto, new_buf)
     }
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T: Scalar, RFrom: DimName, RTo: DimName> Reallocator<T, RFrom, Dynamic, RTo, Dynamic>
+impl<T: Scalar, RFrom: DimName, RTo: DimName> Reallocator<T, RFrom, Dyn, RTo, Dyn>
     for DefaultAllocator
 {
     #[inline]
     unsafe fn reallocate_copy(
         rto: RTo,
-        cto: Dynamic,
+        cto: Dyn,
-        buf: VecStorage<T, RFrom, Dynamic>,
+        buf: VecStorage<T, RFrom, Dyn>,
-    ) -> VecStorage<MaybeUninit<T>, RTo, Dynamic> {
+    ) -> VecStorage<MaybeUninit<T>, RTo, Dyn> {
         let new_buf = buf.resize(rto.value() * cto.value());
         VecStorage::new(rto, cto, new_buf)
     }

src/base/dimension.rs

@@ -13,54 +13,59 @@ use serde::{Deserialize, Deserializer, Serialize, Serializer};
 
 /// Dim of dynamically-sized algebraic entities.
 #[derive(Clone, Copy, Eq, PartialEq, Debug)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
     derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(derive(bytecheck::CheckBytes))
+)]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
-pub struct Dynamic {
+pub struct Dyn(pub usize);
-    value: usize,
-}
 
-impl Dynamic {
+#[deprecated(note = "use Dyn instead.")]
+pub type Dynamic = Dyn;
+
+impl Dyn {
     /// A dynamic size equal to `value`.
     #[inline]
+    #[deprecated(note = "use Dyn(value) instead.")]
     pub const fn new(value: usize) -> Self {
-        Self { value }
+        Self(value)
     }
 }
 
 #[cfg(feature = "serde-serialize-no-std")]
-impl Serialize for Dynamic {
+impl Serialize for Dyn {
     fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
     where
         S: Serializer,
     {
-        self.value.serialize(serializer)
+        self.0.serialize(serializer)
     }
 }
 
 #[cfg(feature = "serde-serialize-no-std")]
-impl<'de> Deserialize<'de> for Dynamic {
+impl<'de> Deserialize<'de> for Dyn {
     fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
     where
         D: Deserializer<'de>,
     {
-        usize::deserialize(deserializer).map(|x| Dynamic { value: x })
+        usize::deserialize(deserializer).map(|x| Dyn(x))
     }
 }
 
-/// Trait implemented by `Dynamic`.
+/// Trait implemented by `Dyn`.
 pub trait IsDynamic {}
-/// Trait implemented by `Dynamic` and type-level integers different from `U1`.
+/// Trait implemented by `Dyn` and type-level integers different from `U1`.
 pub trait IsNotStaticOne {}
 
-impl IsDynamic for Dynamic {}
+impl IsDynamic for Dyn {}
-impl IsNotStaticOne for Dynamic {}
+impl IsNotStaticOne for Dyn {}
 
 /// Trait implemented by any type that can be used as a dimension. This includes type-level
-/// integers and `Dynamic` (for dimensions not known at compile-time).
+/// integers and `Dyn` (for dimensions not known at compile-time).
 pub unsafe trait Dim: Any + Debug + Copy + PartialEq + Send + Sync {
     #[inline(always)]
     fn is<D: Dim>() -> bool {
@@ -68,7 +73,7 @@ pub unsafe trait Dim: Any + Debug + Copy + PartialEq + Send + Sync {
     }
 
     /// Gets the compile-time value of `Self`. Returns `None` if it is not known, i.e., if `Self =
-    /// Dynamic`.
+    /// Dyn`.
     fn try_to_usize() -> Option<usize>;
 
     /// Gets the run-time value of `self`. For type-level integers, this is the same as
@@ -80,7 +85,7 @@ pub unsafe trait Dim: Any + Debug + Copy + PartialEq + Send + Sync {
     fn from_usize(dim: usize) -> Self;
 }
 
-unsafe impl Dim for Dynamic {
+unsafe impl Dim for Dyn {
     #[inline]
     fn try_to_usize() -> Option<usize> {
         None
@@ -88,30 +93,30 @@ unsafe impl Dim for Dynamic {
 
     #[inline]
     fn from_usize(dim: usize) -> Self {
-        Self::new(dim)
+        Self(dim)
     }
 
     #[inline]
     fn value(&self) -> usize {
-        self.value
+        self.0
     }
 }
 
-impl Add<usize> for Dynamic {
+impl Add<usize> for Dyn {
-    type Output = Dynamic;
+    type Output = Dyn;
 
     #[inline]
     fn add(self, rhs: usize) -> Self {
-        Self::new(self.value + rhs)
+        Self(self.0 + rhs)
     }
 }
 
-impl Sub<usize> for Dynamic {
+impl Sub<usize> for Dyn {
-    type Output = Dynamic;
+    type Output = Dyn;
 
     #[inline]
     fn sub(self, rhs: usize) -> Self {
-        Self::new(self.value - rhs)
+        Self(self.0 - rhs)
     }
 }
 
@@ -149,22 +154,22 @@ macro_rules! dim_ops(
             }
         }
 
-        impl<D: Dim> $DimOp<D> for Dynamic {
+        impl<D: Dim> $DimOp<D> for Dyn {
-            type Output = Dynamic;
+            type Output = Dyn;
 
             #[inline]
-            fn $op(self, other: D) -> Dynamic {
+            fn $op(self, other: D) -> Dyn {
-                Dynamic::new($op_path(self.value, other.value()))
+                Dyn($op_path(self.value(), other.value()))
             }
         }
 
         // TODO: use Const<T> instead of D: DimName?
-        impl<D: DimName> $DimOp<Dynamic> for D {
+        impl<D: DimName> $DimOp<Dyn> for D {
-            type Output = Dynamic;
+            type Output = Dyn;
 
             #[inline]
-            fn $op(self, other: Dynamic) -> Dynamic {
+            fn $op(self, other: Dyn) -> Dyn {
-                Dynamic::new($op_path(self.value(), other.value))
+                Dyn($op_path(self.value(), other.value()))
             }
         }
 
@@ -205,7 +210,8 @@ dim_ops!(
 #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(as = "Self")
 )]
 #[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
@@ -306,6 +312,11 @@ macro_rules! from_to_typenum (
         }
 
         impl IsNotStaticOne for $D { }
+
+        /// The constant dimension
+        #[doc = stringify!($VAL)]
+        /// .
+        pub const $D: $D = Const::<$VAL>;
     )*}
 );
 
@@ -319,3 +330,7 @@ from_to_typenum!(
     U111, 111; U112, 112; U113, 113; U114, 114; U115, 115; U116, 116; U117, 117; U118, 118; U119, 119; U120, 120; U121, 121; U122, 122; U123, 123; U124, 124; U125, 125; U126, 126;
     U127, 127
 );
+
+/// The constant dimension 1.
+// Note: We add U1 separately since it's not covered by the from_to_typenum! macro.
+pub const U1: U1 = Const::<1>;

src/base/edition.rs

@@ -7,7 +7,7 @@ use std::ptr;
 use crate::base::allocator::{Allocator, Reallocator};
 use crate::base::constraint::{DimEq, SameNumberOfColumns, SameNumberOfRows, ShapeConstraint};
 #[cfg(any(feature = "std", feature = "alloc"))]
-use crate::base::dimension::Dynamic;
+use crate::base::dimension::Dyn;
 use crate::base::dimension::{Const, Dim, DimAdd, DimDiff, DimMin, DimMinimum, DimSub, DimSum, U1};
 use crate::base::storage::{RawStorage, RawStorageMut, ReshapableStorage};
 use crate::base::{DefaultAllocator, Matrix, OMatrix, RowVector, Scalar, Vector};
@@ -48,15 +48,15 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// Creates a new matrix by extracting the given set of rows from `self`.
     #[cfg(any(feature = "std", feature = "alloc"))]
     #[must_use]
-    pub fn select_rows<'a, I>(&self, irows: I) -> OMatrix<T, Dynamic, C>
+    pub fn select_rows<'a, I>(&self, irows: I) -> OMatrix<T, Dyn, C>
     where
         I: IntoIterator<Item = &'a usize>,
         I::IntoIter: ExactSizeIterator + Clone,
-        DefaultAllocator: Allocator<T, Dynamic, C>,
+        DefaultAllocator: Allocator<T, Dyn, C>,
     {
         let irows = irows.into_iter();
         let ncols = self.shape_generic().1;
-        let mut res = Matrix::uninit(Dynamic::new(irows.len()), ncols);
+        let mut res = Matrix::uninit(Dyn(irows.len()), ncols);
 
         // First, check that all the indices from irows are valid.
         // This will allow us to use unchecked access in the inner loop.
@@ -85,15 +85,15 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// Creates a new matrix by extracting the given set of columns from `self`.
     #[cfg(any(feature = "std", feature = "alloc"))]
     #[must_use]
-    pub fn select_columns<'a, I>(&self, icols: I) -> OMatrix<T, R, Dynamic>
+    pub fn select_columns<'a, I>(&self, icols: I) -> OMatrix<T, R, Dyn>
     where
         I: IntoIterator<Item = &'a usize>,
         I::IntoIter: ExactSizeIterator,
-        DefaultAllocator: Allocator<T, R, Dynamic>,
+        DefaultAllocator: Allocator<T, R, Dyn>,
     {
         let icols = icols.into_iter();
         let nrows = self.shape_generic().0;
-        let mut res = Matrix::uninit(nrows, Dynamic::new(icols.len()));
+        let mut res = Matrix::uninit(nrows, Dyn(icols.len()));
 
         for (destination, source) in icols.enumerate() {
             // NOTE: this is basically a copy_frow but wrapping the values insnide of MaybeUninit.
@@ -359,10 +359,10 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
 
     /// Removes all columns in `indices`   
     #[cfg(any(feature = "std", feature = "alloc"))]
-    pub fn remove_columns_at(self, indices: &[usize]) -> OMatrix<T, R, Dynamic>
+    pub fn remove_columns_at(self, indices: &[usize]) -> OMatrix<T, R, Dyn>
     where
-        C: DimSub<Dynamic, Output = Dynamic>,
+        C: DimSub<Dyn, Output = Dyn>,
-        DefaultAllocator: Reallocator<T, R, C, R, Dynamic>,
+        DefaultAllocator: Reallocator<T, R, C, R, Dyn>,
     {
         let mut m = self.into_owned();
         let (nrows, ncols) = m.shape_generic();
@@ -400,7 +400,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
         unsafe {
             let new_data = DefaultAllocator::reallocate_copy(
                 nrows,
-                ncols.sub(Dynamic::from_usize(offset)),
+                ncols.sub(Dyn::from_usize(offset)),
                 m.data,
             );
 
@@ -410,10 +410,10 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
 
     /// Removes all rows in `indices`   
     #[cfg(any(feature = "std", feature = "alloc"))]
-    pub fn remove_rows_at(self, indices: &[usize]) -> OMatrix<T, Dynamic, C>
+    pub fn remove_rows_at(self, indices: &[usize]) -> OMatrix<T, Dyn, C>
     where
-        R: DimSub<Dynamic, Output = Dynamic>,
+        R: DimSub<Dyn, Output = Dyn>,
-        DefaultAllocator: Reallocator<T, R, C, Dynamic, C>,
+        DefaultAllocator: Reallocator<T, R, C, Dyn, C>,
     {
         let mut m = self.into_owned();
         let (nrows, ncols) = m.shape_generic();
@@ -448,7 +448,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
         //         be assumed to be initialized.
         unsafe {
             let new_data = DefaultAllocator::reallocate_copy(
-                nrows.sub(Dynamic::from_usize(offset / ncols.value())),
+                nrows.sub(Dyn::from_usize(offset / ncols.value())),
                 ncols,
                 m.data,
             );
@@ -474,12 +474,12 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// Removes `n` consecutive columns from this matrix, starting with the `i`-th (included).
     #[inline]
     #[cfg(any(feature = "std", feature = "alloc"))]
-    pub fn remove_columns(self, i: usize, n: usize) -> OMatrix<T, R, Dynamic>
+    pub fn remove_columns(self, i: usize, n: usize) -> OMatrix<T, R, Dyn>
     where
-        C: DimSub<Dynamic, Output = Dynamic>,
+        C: DimSub<Dyn, Output = Dyn>,
-        DefaultAllocator: Reallocator<T, R, C, R, Dynamic>,
+        DefaultAllocator: Reallocator<T, R, C, R, Dyn>,
     {
-        self.remove_columns_generic(i, Dynamic::new(n))
+        self.remove_columns_generic(i, Dyn(n))
     }
 
     /// Removes `nremove.value()` columns from this matrix, starting with the `i`-th (included).
@@ -569,12 +569,12 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// Removes `n` consecutive rows from this matrix, starting with the `i`-th (included).
     #[inline]
     #[cfg(any(feature = "std", feature = "alloc"))]
-    pub fn remove_rows(self, i: usize, n: usize) -> OMatrix<T, Dynamic, C>
+    pub fn remove_rows(self, i: usize, n: usize) -> OMatrix<T, Dyn, C>
     where
-        R: DimSub<Dynamic, Output = Dynamic>,
+        R: DimSub<Dyn, Output = Dyn>,
-        DefaultAllocator: Reallocator<T, R, C, Dynamic, C>,
+        DefaultAllocator: Reallocator<T, R, C, Dyn, C>,
     {
-        self.remove_rows_generic(i, Dynamic::new(n))
+        self.remove_rows_generic(i, Dyn(n))
     }
 
     /// Removes `nremove.value()` rows from this matrix, starting with the `i`-th (included).
@@ -659,12 +659,12 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// Inserts `n` columns filled with `val` starting at the `i-th` position.
     #[inline]
     #[cfg(any(feature = "std", feature = "alloc"))]
-    pub fn insert_columns(self, i: usize, n: usize, val: T) -> OMatrix<T, R, Dynamic>
+    pub fn insert_columns(self, i: usize, n: usize, val: T) -> OMatrix<T, R, Dyn>
     where
-        C: DimAdd<Dynamic, Output = Dynamic>,
+        C: DimAdd<Dyn, Output = Dyn>,
-        DefaultAllocator: Reallocator<T, R, C, R, Dynamic>,
+        DefaultAllocator: Reallocator<T, R, C, R, Dyn>,
     {
-        let mut res = unsafe { self.insert_columns_generic_uninitialized(i, Dynamic::new(n)) };
+        let mut res = unsafe { self.insert_columns_generic_uninitialized(i, Dyn(n)) };
         res.columns_mut(i, n)
             .fill_with(|| MaybeUninit::new(val.clone()));
 
@@ -752,12 +752,12 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// Inserts `n` rows filled with `val` starting at the `i-th` position.
     #[inline]
     #[cfg(any(feature = "std", feature = "alloc"))]
-    pub fn insert_rows(self, i: usize, n: usize, val: T) -> OMatrix<T, Dynamic, C>
+    pub fn insert_rows(self, i: usize, n: usize, val: T) -> OMatrix<T, Dyn, C>
     where
-        R: DimAdd<Dynamic, Output = Dynamic>,
+        R: DimAdd<Dyn, Output = Dyn>,
-        DefaultAllocator: Reallocator<T, R, C, Dynamic, C>,
+        DefaultAllocator: Reallocator<T, R, C, Dyn, C>,
     {
-        let mut res = unsafe { self.insert_rows_generic_uninitialized(i, Dynamic::new(n)) };
+        let mut res = unsafe { self.insert_rows_generic_uninitialized(i, Dyn(n)) };
         res.rows_mut(i, n)
             .fill_with(|| MaybeUninit::new(val.clone()));
 
@@ -815,11 +815,11 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
     /// rows and/or columns than `self`, then the extra rows or columns are filled with `val`.
     #[cfg(any(feature = "std", feature = "alloc"))]
-    pub fn resize(self, new_nrows: usize, new_ncols: usize, val: T) -> OMatrix<T, Dynamic, Dynamic>
+    pub fn resize(self, new_nrows: usize, new_ncols: usize, val: T) -> OMatrix<T, Dyn, Dyn>
     where
-        DefaultAllocator: Reallocator<T, R, C, Dynamic, Dynamic>,
+        DefaultAllocator: Reallocator<T, R, C, Dyn, Dyn>,
     {
-        self.resize_generic(Dynamic::new(new_nrows), Dynamic::new(new_ncols), val)
+        self.resize_generic(Dyn(new_nrows), Dyn(new_ncols), val)
     }
 
     /// Resizes this matrix vertically, i.e., so that it contains `new_nrows` rows while keeping the same number of columns.
@@ -827,12 +827,12 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
     /// rows than `self`, then the extra rows are filled with `val`.
     #[cfg(any(feature = "std", feature = "alloc"))]
-    pub fn resize_vertically(self, new_nrows: usize, val: T) -> OMatrix<T, Dynamic, C>
+    pub fn resize_vertically(self, new_nrows: usize, val: T) -> OMatrix<T, Dyn, C>
     where
-        DefaultAllocator: Reallocator<T, R, C, Dynamic, C>,
+        DefaultAllocator: Reallocator<T, R, C, Dyn, C>,
     {
         let ncols = self.shape_generic().1;
-        self.resize_generic(Dynamic::new(new_nrows), ncols, val)
+        self.resize_generic(Dyn(new_nrows), ncols, val)
     }
 
     /// Resizes this matrix horizontally, i.e., so that it contains `new_ncolumns` columns while keeping the same number of columns.
@@ -840,12 +840,12 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
     /// columns than `self`, then the extra columns are filled with `val`.
     #[cfg(any(feature = "std", feature = "alloc"))]
-    pub fn resize_horizontally(self, new_ncols: usize, val: T) -> OMatrix<T, R, Dynamic>
+    pub fn resize_horizontally(self, new_ncols: usize, val: T) -> OMatrix<T, R, Dyn>
     where
-        DefaultAllocator: Reallocator<T, R, C, R, Dynamic>,
+        DefaultAllocator: Reallocator<T, R, C, R, Dyn>,
     {
         let nrows = self.shape_generic().0;
-        self.resize_generic(nrows, Dynamic::new(new_ncols), val)
+        self.resize_generic(nrows, Dyn(new_ncols), val)
     }
 
     /// Resizes this matrix so that it contains `R2::value()` rows and `C2::value()` columns.
@@ -938,7 +938,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
             }
 
             if new_nrows.value() > nrows {
-                res.slice_range_mut(nrows.., ..cmp::min(ncols, new_ncols.value()))
+                res.view_range_mut(nrows.., ..cmp::min(ncols, new_ncols.value()))
                     .fill_with(|| MaybeUninit::new(val.clone()));
             }
 
@@ -962,7 +962,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// # Examples
     ///
     /// ```
-    /// # use nalgebra::{Matrix3x2, Matrix2x3, DMatrix, Const, Dynamic};
+    /// # use nalgebra::{Matrix3x2, Matrix2x3, DMatrix, Const, Dyn};
     ///
     /// let m1 = Matrix2x3::new(
     ///     1.1, 1.2, 1.3,
@@ -998,7 +998,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     ///         0.0, 0.0,
     ///     ],
     /// );
-    /// let reshaped = dm1.reshape_generic(Dynamic::new(6), Dynamic::new(2));
+    /// let reshaped = dm1.reshape_generic(Dyn(6), Dyn(2));
     /// assert_eq!(reshaped, dm2);
     /// ```
     pub fn reshape_generic<R2, C2>(
@@ -1018,7 +1018,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
 
 /// # In-place resizing
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T: Scalar> OMatrix<T, Dynamic, Dynamic> {
+impl<T: Scalar> OMatrix<T, Dyn, Dyn> {
     /// Resizes this matrix in-place.
     ///
     /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
@@ -1027,7 +1027,7 @@ impl<T: Scalar> OMatrix<T, Dynamic, Dynamic> {
     /// Defined only for owned fully-dynamic matrices, i.e., `DMatrix`.
     pub fn resize_mut(&mut self, new_nrows: usize, new_ncols: usize, val: T)
     where
-        DefaultAllocator: Reallocator<T, Dynamic, Dynamic, Dynamic, Dynamic>,
+        DefaultAllocator: Reallocator<T, Dyn, Dyn, Dyn, Dyn>,
     {
         // TODO: avoid the clone.
         *self = self.clone().resize(new_nrows, new_ncols, val);
@@ -1035,9 +1035,9 @@ impl<T: Scalar> OMatrix<T, Dynamic, Dynamic> {
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T: Scalar, C: Dim> OMatrix<T, Dynamic, C>
+impl<T: Scalar, C: Dim> OMatrix<T, Dyn, C>
 where
-    DefaultAllocator: Allocator<T, Dynamic, C>,
+    DefaultAllocator: Allocator<T, Dyn, C>,
 {
     /// Changes the number of rows of this matrix in-place.
     ///
@@ -1048,7 +1048,7 @@ where
     #[cfg(any(feature = "std", feature = "alloc"))]
     pub fn resize_vertically_mut(&mut self, new_nrows: usize, val: T)
     where
-        DefaultAllocator: Reallocator<T, Dynamic, C, Dynamic, C>,
+        DefaultAllocator: Reallocator<T, Dyn, C, Dyn, C>,
     {
         // TODO: avoid the clone.
         *self = self.clone().resize_vertically(new_nrows, val);
@@ -1056,9 +1056,9 @@ where
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T: Scalar, R: Dim> OMatrix<T, R, Dynamic>
+impl<T: Scalar, R: Dim> OMatrix<T, R, Dyn>
 where
-    DefaultAllocator: Allocator<T, R, Dynamic>,
+    DefaultAllocator: Allocator<T, R, Dyn>,
 {
     /// Changes the number of column of this matrix in-place.
     ///
@@ -1069,7 +1069,7 @@ where
     #[cfg(any(feature = "std", feature = "alloc"))]
     pub fn resize_horizontally_mut(&mut self, new_ncols: usize, val: T)
     where
-        DefaultAllocator: Reallocator<T, R, Dynamic, R, Dynamic>,
+        DefaultAllocator: Reallocator<T, R, Dyn, R, Dyn>,
     {
         // TODO: avoid the clone.
         *self = self.clone().resize_horizontally(new_ncols, val);
@@ -1167,7 +1167,7 @@ unsafe fn extend_rows<T>(data: &mut [T], nrows: usize, ncols: usize, i: usize, n
 /// Extend the number of columns of the `Matrix` with elements from
 /// a given iterator.
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T, R, S> Extend<T> for Matrix<T, R, Dynamic, S>
+impl<T, R, S> Extend<T> for Matrix<T, R, Dyn, S>
 where
     T: Scalar,
     R: Dim,
@@ -1178,7 +1178,7 @@ where
     ///
     /// # Example
     /// ```
-    /// # use nalgebra::{DMatrix, Dynamic, Matrix, OMatrix, Matrix3};
+    /// # use nalgebra::{DMatrix, Dyn, Matrix, OMatrix, Matrix3};
     ///
     /// let data = vec![0, 1, 2,      // column 1
     ///                 3, 4, 5];     // column 2
@@ -1198,7 +1198,7 @@ where
     /// `Matrix`.
     ///
     /// ```should_panic
-    /// # use nalgebra::{DMatrix, Dynamic, OMatrix};
+    /// # use nalgebra::{DMatrix, Dyn, OMatrix};
     /// let data = vec![0, 1, 2,  // column 1
     ///                 3, 4, 5]; // column 2
     ///
@@ -1215,7 +1215,7 @@ where
 /// Extend the number of rows of the `Vector` with elements from
 /// a given iterator.
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T, S> Extend<T> for Matrix<T, Dynamic, U1, S>
+impl<T, S> Extend<T> for Matrix<T, Dyn, U1, S>
 where
     T: Scalar,
     S: Extend<T>,
@@ -1236,7 +1236,7 @@ where
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl<T, R, S, RV, SV> Extend<Vector<T, RV, SV>> for Matrix<T, R, Dynamic, S>
+impl<T, R, S, RV, SV> Extend<Vector<T, RV, SV>> for Matrix<T, R, Dyn, S>
 where
     T: Scalar,
     R: Dim,

src/base/indexing.rs

@@ -3,7 +3,7 @@
 
 use crate::base::storage::{RawStorage, RawStorageMut};
 use crate::base::{
-    Const, Dim, DimDiff, DimName, DimSub, Dynamic, Matrix, MatrixSlice, MatrixSliceMut, Scalar, U1,
+    Const, Dim, DimDiff, DimName, DimSub, Dyn, Matrix, MatrixView, MatrixViewMut, Scalar, U1,
 };
 
 use std::ops;
@@ -49,7 +49,7 @@ fn dimrange_usize() {
 }
 
 impl<D: Dim> DimRange<D> for ops::Range<usize> {
-    type Length = Dynamic;
+    type Length = Dyn;
 
     #[inline(always)]
     fn lower(&self, _: D) -> usize {
@@ -58,7 +58,7 @@ impl<D: Dim> DimRange<D> for ops::Range<usize> {
 
     #[inline(always)]
     fn length(&self, _: D) -> Self::Length {
-        Dynamic::new(self.end.saturating_sub(self.start))
+        Dyn(self.end.saturating_sub(self.start))
     }
 
     #[inline(always)]
@@ -74,24 +74,24 @@ fn dimrange_range_usize() {
     assert!(DimRange::contained_by(&(0..1), Const::<1>));
     assert!(DimRange::contained_by(
         &((usize::MAX - 1)..usize::MAX),
-        Dynamic::new(usize::MAX)
+        Dyn(usize::MAX)
     ));
     assert_eq!(
-        DimRange::length(&((usize::MAX - 1)..usize::MAX), Dynamic::new(usize::MAX)),
+        DimRange::length(&((usize::MAX - 1)..usize::MAX), Dyn(usize::MAX)),
-        Dynamic::new(1)
+        Dyn(1)
     );
     assert_eq!(
-        DimRange::length(&(usize::MAX..(usize::MAX - 1)), Dynamic::new(usize::MAX)),
+        DimRange::length(&(usize::MAX..(usize::MAX - 1)), Dyn(usize::MAX)),
-        Dynamic::new(0)
+        Dyn(0)
     );
     assert_eq!(
-        DimRange::length(&(usize::MAX..usize::MAX), Dynamic::new(usize::MAX)),
+        DimRange::length(&(usize::MAX..usize::MAX), Dyn(usize::MAX)),
-        Dynamic::new(0)
+        Dyn(0)
     );
 }
 
 impl<D: Dim> DimRange<D> for ops::RangeFrom<usize> {
-    type Length = Dynamic;
+    type Length = Dyn;
 
     #[inline(always)]
     fn lower(&self, _: D) -> usize {
@@ -116,16 +116,13 @@ fn dimrange_rangefrom_usize() {
     assert!(DimRange::contained_by(&(0..), Const::<1>));
     assert!(DimRange::contained_by(
         &((usize::MAX - 1)..),
-        Dynamic::new(usize::MAX)
+        Dyn(usize::MAX)
     ));
     assert_eq!(
-        DimRange::length(&((usize::MAX - 1)..), Dynamic::new(usize::MAX)),
+        DimRange::length(&((usize::MAX - 1)..), Dyn(usize::MAX)),
-        Dynamic::new(1)
+        Dyn(1)
-    );
-    assert_eq!(
-        DimRange::length(&(usize::MAX..), Dynamic::new(usize::MAX)),
-        Dynamic::new(0)
     );
+    assert_eq!(DimRange::length(&(usize::MAX..), Dyn(usize::MAX)), Dyn(0));
 }
 
 impl<D: Dim, T: Dim> DimRange<D> for ops::RangeFrom<T>
@@ -181,7 +178,7 @@ fn dimrange_rangefull() {
 }
 
 impl<D: Dim> DimRange<D> for ops::RangeInclusive<usize> {
-    type Length = Dynamic;
+    type Length = Dyn;
 
     #[inline(always)]
     fn lower(&self, _: D) -> usize {
@@ -190,7 +187,7 @@ impl<D: Dim> DimRange<D> for ops::RangeInclusive<usize> {
 
     #[inline(always)]
     fn length(&self, _: D) -> Self::Length {
-        Dynamic::new(if self.end() < self.start() {
+        Dyn(if self.end() < self.start() {
             0
         } else {
             self.end().wrapping_sub(self.start().wrapping_sub(1))
@@ -209,33 +206,33 @@ fn dimrange_rangeinclusive_usize() {
     assert!(DimRange::contained_by(&(0..=0), Const::<1>));
     assert!(!DimRange::contained_by(
         &(usize::MAX..=usize::MAX),
-        Dynamic::new(usize::MAX)
+        Dyn(usize::MAX)
     ));
     assert!(!DimRange::contained_by(
         &((usize::MAX - 1)..=usize::MAX),
-        Dynamic::new(usize::MAX)
+        Dyn(usize::MAX)
     ));
     assert!(DimRange::contained_by(
         &((usize::MAX - 1)..=(usize::MAX - 1)),
-        Dynamic::new(usize::MAX)
+        Dyn(usize::MAX)
     ));
-    assert_eq!(DimRange::length(&(0..=0), Const::<1>), Dynamic::new(1));
+    assert_eq!(DimRange::length(&(0..=0), Const::<1>), Dyn(1));
     assert_eq!(
-        DimRange::length(&((usize::MAX - 1)..=usize::MAX), Dynamic::new(usize::MAX)),
+        DimRange::length(&((usize::MAX - 1)..=usize::MAX), Dyn(usize::MAX)),
-        Dynamic::new(2)
+        Dyn(2)
     );
     assert_eq!(
-        DimRange::length(&(usize::MAX..=(usize::MAX - 1)), Dynamic::new(usize::MAX)),
+        DimRange::length(&(usize::MAX..=(usize::MAX - 1)), Dyn(usize::MAX)),
-        Dynamic::new(0)
+        Dyn(0)
     );
     assert_eq!(
-        DimRange::length(&(usize::MAX..=usize::MAX), Dynamic::new(usize::MAX)),
+        DimRange::length(&(usize::MAX..=usize::MAX), Dyn(usize::MAX)),
-        Dynamic::new(1)
+        Dyn(1)
     );
 }
 
 impl<D: Dim> DimRange<D> for ops::RangeTo<usize> {
-    type Length = Dynamic;
+    type Length = Dyn;
 
     #[inline(always)]
     fn lower(&self, _: D) -> usize {
@@ -244,7 +241,7 @@ impl<D: Dim> DimRange<D> for ops::RangeTo<usize> {
 
     #[inline(always)]
     fn length(&self, _: D) -> Self::Length {
-        Dynamic::new(self.end)
+        Dyn(self.end)
     }
 
     #[inline(always)]
@@ -260,20 +257,20 @@ fn dimrange_rangeto_usize() {
     assert!(DimRange::contained_by(&(..0), Const::<1>));
     assert!(DimRange::contained_by(
         &(..(usize::MAX - 1)),
-        Dynamic::new(usize::MAX)
+        Dyn(usize::MAX)
     ));
     assert_eq!(
-        DimRange::length(&(..(usize::MAX - 1)), Dynamic::new(usize::MAX)),
+        DimRange::length(&(..(usize::MAX - 1)), Dyn(usize::MAX)),
-        Dynamic::new(usize::MAX - 1)
+        Dyn(usize::MAX - 1)
     );
     assert_eq!(
-        DimRange::length(&(..usize::MAX), Dynamic::new(usize::MAX)),
+        DimRange::length(&(..usize::MAX), Dyn(usize::MAX)),
-        Dynamic::new(usize::MAX)
+        Dyn(usize::MAX)
     );
 }
 
 impl<D: Dim> DimRange<D> for ops::RangeToInclusive<usize> {
-    type Length = Dynamic;
+    type Length = Dyn;
 
     #[inline(always)]
     fn lower(&self, _: D) -> usize {
@@ -282,7 +279,7 @@ impl<D: Dim> DimRange<D> for ops::RangeToInclusive<usize> {
 
     #[inline(always)]
     fn length(&self, _: D) -> Self::Length {
-        Dynamic::new(self.end + 1)
+        Dyn(self.end + 1)
     }
 
     #[inline(always)]
@@ -296,17 +293,14 @@ fn dimrange_rangetoinclusive_usize() {
     assert!(!DimRange::contained_by(&(..=0), Const::<0>));
     assert!(!DimRange::contained_by(&(..=1), Const::<0>));
     assert!(DimRange::contained_by(&(..=0), Const::<1>));
-    assert!(!DimRange::contained_by(
+    assert!(!DimRange::contained_by(&(..=(usize::MAX)), Dyn(usize::MAX)));
-        &(..=(usize::MAX)),
-        Dynamic::new(usize::MAX)
-    ));
     assert!(DimRange::contained_by(
         &(..=(usize::MAX - 1)),
-        Dynamic::new(usize::MAX)
+        Dyn(usize::MAX)
     ));
     assert_eq!(
-        DimRange::length(&(..=(usize::MAX - 1)), Dynamic::new(usize::MAX)),
+        DimRange::length(&(..=(usize::MAX - 1)), Dyn(usize::MAX)),
-        Dynamic::new(usize::MAX)
+        Dyn(usize::MAX)
     );
 }
 
@@ -378,7 +372,7 @@ pub trait MatrixIndexMut<'a, T, R: Dim, C: Dim, S: RawStorageMut<T, R, C>>:
     }
 }
 
-/// # Slicing based on ranges
+/// # Views based on ranges
 /// ## Indices to Individual Elements
 /// ### Two-Dimensional Indices
 /// ```
@@ -669,7 +663,7 @@ macro_rules! impl_index_pair {
             $( $RConstraintType: $RConstraintBound $(<$( $RConstraintBoundParams $( = $REqBound )*),*>)* ,)*
             $( $CConstraintType: $CConstraintBound $(<$( $CConstraintBoundParams $( = $CEqBound )*),*>)* ),*
         {
-            type Output = MatrixSlice<'a, T, $ROut, $COut, S::RStride, S::CStride>;
+            type Output = MatrixView<'a, T, $ROut, $COut, S::RStride, S::CStride>;
 
             #[doc(hidden)]
             #[inline(always)]
@@ -682,13 +676,13 @@ macro_rules! impl_index_pair {
             #[doc(hidden)]
             #[inline(always)]
             unsafe fn get_unchecked(self, matrix: &'a Matrix<T, $R, $C, S>) -> Self::Output {
-                use crate::base::SliceStorage;
+                use crate::base::ViewStorage;
 
                 let (rows, cols) = self;
                 let (nrows, ncols) = matrix.shape_generic();
 
                 let data =
-                    SliceStorage::new_unchecked(&matrix.data,
+                    ViewStorage::new_unchecked(&matrix.data,
                         (rows.lower(nrows),  cols.lower(ncols)),
                         (rows.length(nrows), cols.length(ncols)));
 
@@ -705,18 +699,18 @@ macro_rules! impl_index_pair {
             $( $RConstraintType: $RConstraintBound $(<$( $RConstraintBoundParams $( = $REqBound )*),*>)* ,)*
             $( $CConstraintType: $CConstraintBound $(<$( $CConstraintBoundParams $( = $CEqBound )*),*>)* ),*
         {
-            type OutputMut = MatrixSliceMut<'a, T, $ROut, $COut, S::RStride, S::CStride>;
+            type OutputMut = MatrixViewMut<'a, T, $ROut, $COut, S::RStride, S::CStride>;
 
             #[doc(hidden)]
             #[inline(always)]
             unsafe fn get_unchecked_mut(self, matrix: &'a mut Matrix<T, $R, $C, S>) -> Self::OutputMut {
-                use crate::base::SliceStorageMut;
+                use crate::base::ViewStorageMut;
 
                 let (rows, cols) = self;
                 let (nrows, ncols) = matrix.shape_generic();
 
                 let data =
-                    SliceStorageMut::new_unchecked(&mut matrix.data,
+                    ViewStorageMut::new_unchecked(&mut matrix.data,
                         (rows.lower(nrows),  cols.lower(ncols)),
                         (rows.length(nrows), cols.length(ncols)));
 
@@ -742,12 +736,12 @@ macro_rules! impl_index_pairs {
 impl_index_pairs! {
     index R with {
         [<> usize                         =>  U1],
-        [<> ops::Range<usize>             =>  Dynamic],
+        [<> ops::Range<usize>             =>  Dyn],
-        [<> ops::RangeFrom<usize>         =>  Dynamic],
+        [<> ops::RangeFrom<usize>         =>  Dyn],
         [<> ops::RangeFull                =>  R],
-        [<> ops::RangeInclusive<usize>    =>  Dynamic],
+        [<> ops::RangeInclusive<usize>    =>  Dyn],
-        [<> ops::RangeTo<usize>           =>  Dynamic],
+        [<> ops::RangeTo<usize>           =>  Dyn],
-        [<> ops::RangeToInclusive<usize>  =>  Dynamic],
+        [<> ops::RangeToInclusive<usize>  =>  Dyn],
 
         [<I: Dim> ops::RangeFrom<I>
           =>  DimDiff<R, I>
@@ -755,12 +749,12 @@ impl_index_pairs! {
     }
     index C with {
         [<> usize                         =>  U1],
-        [<> ops::Range<usize>             =>  Dynamic],
+        [<> ops::Range<usize>             =>  Dyn],
-        [<> ops::RangeFrom<usize>         =>  Dynamic],
+        [<> ops::RangeFrom<usize>         =>  Dyn],
         [<> ops::RangeFull                =>  C],
-        [<> ops::RangeInclusive<usize>    =>  Dynamic],
+        [<> ops::RangeInclusive<usize>    =>  Dyn],
-        [<> ops::RangeTo<usize>           =>  Dynamic],
+        [<> ops::RangeTo<usize>           =>  Dyn],
-        [<> ops::RangeToInclusive<usize>  =>  Dynamic],
+        [<> ops::RangeToInclusive<usize>  =>  Dyn],
 
         [<J: DimName> ops::RangeFrom<J>
           =>  DimDiff<C, J>

src/base/iter.rs

@@ -1,12 +1,18 @@
 //! Matrix iterators.
 
+// only enables the `doc_cfg` feature when
+// the `docsrs` configuration attribute is defined
+#![cfg_attr(docsrs, feature(doc_cfg))]
+
+use core::fmt::Debug;
+use core::ops::Range;
 use std::iter::FusedIterator;
 use std::marker::PhantomData;
 use std::mem;
 
 use crate::base::dimension::{Dim, U1};
 use crate::base::storage::{RawStorage, RawStorageMut};
-use crate::base::{Matrix, MatrixSlice, MatrixSliceMut, Scalar};
+use crate::base::{Matrix, MatrixView, MatrixViewMut, Scalar};
 
 macro_rules! iterator {
     (struct $Name:ident for $Storage:ident.$ptr: ident -> $Ptr:ty, $Ref:ty, $SRef: ty) => {
@@ -193,7 +199,7 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> RowIter<'a, T, R, C, S>
 }
 
 impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> Iterator for RowIter<'a, T, R, C, S> {
-    type Item = MatrixSlice<'a, T, U1, C, S::RStride, S::CStride>;
+    type Item = MatrixView<'a, T, U1, C, S::RStride, S::CStride>;
 
     #[inline]
     fn next(&mut self) -> Option<Self::Item> {
@@ -254,7 +260,7 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> RowIterMut<'a, T, R,
 impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Iterator
     for RowIterMut<'a, T, R, C, S>
 {
-    type Item = MatrixSliceMut<'a, T, U1, C, S::RStride, S::CStride>;
+    type Item = MatrixViewMut<'a, T, U1, C, S::RStride, S::CStride>;
 
     #[inline]
     fn next(&mut self) -> Option<Self::Item> {
@@ -288,7 +294,6 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> ExactSizeIte
 }
 
 /*
- *
  * Column iterators.
  *
  */
@@ -296,23 +301,45 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> ExactSizeIte
 /// An iterator through the columns of a matrix.
 pub struct ColumnIter<'a, T, R: Dim, C: Dim, S: RawStorage<T, R, C>> {
     mat: &'a Matrix<T, R, C, S>,
-    curr: usize,
+    range: Range<usize>,
 }
 
 impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> ColumnIter<'a, T, R, C, S> {
+    /// a new column iterator covering all columns of the matrix
     pub(crate) fn new(mat: &'a Matrix<T, R, C, S>) -> Self {
-        ColumnIter { mat, curr: 0 }
+        ColumnIter {
+            mat,
+            range: 0..mat.ncols(),
+        }
+    }
+
+    pub(crate) fn split_at(self, index: usize) -> (Self, Self) {
+        // SAFETY: this makes sur the generated ranges are valid.
+        let split_pos = (self.range.start + index).min(self.range.end);
+
+        let left_iter = ColumnIter {
+            mat: self.mat,
+            range: self.range.start..split_pos,
+        };
+
+        let right_iter = ColumnIter {
+            mat: self.mat,
+            range: split_pos..self.range.end,
+        };
+
+        (left_iter, right_iter)
     }
 }
 
 impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> Iterator for ColumnIter<'a, T, R, C, S> {
-    type Item = MatrixSlice<'a, T, R, U1, S::RStride, S::CStride>;
+    type Item = MatrixView<'a, T, R, U1, S::RStride, S::CStride>;
 
     #[inline]
     fn next(&mut self) -> Option<Self::Item> {
-        if self.curr < self.mat.ncols() {
+        debug_assert!(self.range.start <= self.range.end);
-            let res = self.mat.column(self.curr);
+        if self.range.start < self.range.end {
-            self.curr += 1;
+            let res = self.mat.column(self.range.start);
+            self.range.start += 1;
             Some(res)
         } else {
             None
@@ -321,15 +348,29 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> Iterator for ColumnIter
 
     #[inline]
     fn size_hint(&self) -> (usize, Option<usize>) {
-        (
+        let hint = self.range.len();
-            self.mat.ncols() - self.curr,
+        (hint, Some(hint))
-            Some(self.mat.ncols() - self.curr),
-        )
     }
 
     #[inline]
     fn count(self) -> usize {
-        self.mat.ncols() - self.curr
+        self.range.len()
+    }
+}
+
+impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> DoubleEndedIterator
+    for ColumnIter<'a, T, R, C, S>
+{
+    fn next_back(&mut self) -> Option<Self::Item> {
+        debug_assert!(self.range.start <= self.range.end);
+        if !self.range.is_empty() {
+            self.range.end -= 1;
+            debug_assert!(self.range.end < self.mat.ncols());
+            debug_assert!(self.range.end >= self.range.start);
+            Some(self.mat.column(self.range.end))
+        } else {
+            None
+        }
     }
 }
 
@@ -338,7 +379,7 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> ExactSizeIterat
 {
     #[inline]
     fn len(&self) -> usize {
-        self.mat.ncols() - self.curr
+        self.range.end - self.range.start
     }
 }
 
@@ -346,19 +387,39 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> ExactSizeIterat
 #[derive(Debug)]
 pub struct ColumnIterMut<'a, T, R: Dim, C: Dim, S: RawStorageMut<T, R, C>> {
     mat: *mut Matrix<T, R, C, S>,
-    curr: usize,
+    range: Range<usize>,
     phantom: PhantomData<&'a mut Matrix<T, R, C, S>>,
 }
 
 impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> ColumnIterMut<'a, T, R, C, S> {
     pub(crate) fn new(mat: &'a mut Matrix<T, R, C, S>) -> Self {
+        let range = 0..mat.ncols();
         ColumnIterMut {
             mat,
-            curr: 0,
+            range,
-            phantom: PhantomData,
+            phantom: Default::default(),
         }
     }
 
+    pub(crate) fn split_at(self, index: usize) -> (Self, Self) {
+        // SAFETY: this makes sur the generated ranges are valid.
+        let split_pos = (self.range.start + index).min(self.range.end);
+
+        let left_iter = ColumnIterMut {
+            mat: self.mat,
+            range: self.range.start..split_pos,
+            phantom: Default::default(),
+        };
+
+        let right_iter = ColumnIterMut {
+            mat: self.mat,
+            range: split_pos..self.range.end,
+            phantom: Default::default(),
+        };
+
+        (left_iter, right_iter)
+    }
+
     fn ncols(&self) -> usize {
         unsafe { (*self.mat).ncols() }
     }
@@ -367,13 +428,14 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> ColumnIterMut<'a, T,
 impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Iterator
     for ColumnIterMut<'a, T, R, C, S>
 {
-    type Item = MatrixSliceMut<'a, T, R, U1, S::RStride, S::CStride>;
+    type Item = MatrixViewMut<'a, T, R, U1, S::RStride, S::CStride>;
 
     #[inline]
-    fn next(&mut self) -> Option<Self::Item> {
+    fn next(&'_ mut self) -> Option<Self::Item> {
-        if self.curr < self.ncols() {
+        debug_assert!(self.range.start <= self.range.end);
-            let res = unsafe { (*self.mat).column_mut(self.curr) };
+        if self.range.start < self.range.end {
-            self.curr += 1;
+            let res = unsafe { (*self.mat).column_mut(self.range.start) };
+            self.range.start += 1;
             Some(res)
         } else {
             None
@@ -382,12 +444,13 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Iterator
 
     #[inline]
     fn size_hint(&self) -> (usize, Option<usize>) {
-        (self.ncols() - self.curr, Some(self.ncols() - self.curr))
+        let hint = self.range.len();
+        (hint, Some(hint))
     }
 
     #[inline]
     fn count(self) -> usize {
-        self.ncols() - self.curr
+        self.range.len()
     }
 }
 
@@ -396,6 +459,22 @@ impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> ExactSizeIte
 {
     #[inline]
     fn len(&self) -> usize {
-        self.ncols() - self.curr
+        self.range.len()
+    }
+}
+
+impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> DoubleEndedIterator
+    for ColumnIterMut<'a, T, R, C, S>
+{
+    fn next_back(&mut self) -> Option<Self::Item> {
+        debug_assert!(self.range.start <= self.range.end);
+        if !self.range.is_empty() {
+            self.range.end -= 1;
+            debug_assert!(self.range.end < self.ncols());
+            debug_assert!(self.range.end >= self.range.start);
+            Some(unsafe { (*self.mat).column_mut(self.range.end) })
+        } else {
+            None
+        }
     }
 }

src/base/matrix.rs

@@ -11,6 +11,11 @@ use std::mem;
 #[cfg(feature = "serde-serialize-no-std")]
 use serde::{Deserialize, Deserializer, Serialize, Serializer};
 
+#[cfg(feature = "rkyv-serialize-no-std")]
+use super::rkyv_wrappers::CustomPhantom;
+#[cfg(feature = "rkyv-serialize-no-std")]
+use rkyv::{with::With, Archive, Archived};
+
 use simba::scalar::{ClosedAdd, ClosedMul, ClosedSub, Field, SupersetOf};
 use simba::simd::SimdPartialOrd;
 
@@ -27,7 +32,7 @@ use crate::{ArrayStorage, SMatrix, SimdComplexField, Storage, UninitMatrix};
 use crate::storage::IsContiguous;
 use crate::uninit::{Init, InitStatus, Uninit};
 #[cfg(any(feature = "std", feature = "alloc"))]
-use crate::{DMatrix, DVector, Dynamic, RowDVector, VecStorage};
+use crate::{DMatrix, DVector, Dyn, RowDVector, VecStorage};
 use std::mem::MaybeUninit;
 
 /// A square matrix.
@@ -96,16 +101,17 @@ pub type MatrixCross<T, R1, C1, R2, C2> =
 ///
 /// #### Iteration, map, and fold
 /// - [Iteration on components, rows, and columns <span style="float:right;">`iter`, `column_iter`…</span>](#iteration-on-components-rows-and-columns)
+/// - [Parallel iterators using rayon <span style="float:right;">`par_column_iter`, `par_column_iter_mut`…</span>](#parallel-iterators-using-rayon)
 /// - [Elementwise mapping and folding <span style="float:right;">`map`, `fold`, `zip_map`…</span>](#elementwise-mapping-and-folding)
 /// - [Folding or columns and rows <span style="float:right;">`compress_rows`, `compress_columns`…</span>](#folding-on-columns-and-rows)
 ///
-/// #### Vector and matrix slicing
+/// #### Vector and matrix views
-/// - [Creating matrix slices from `&[T]` <span style="float:right;">`from_slice`, `from_slice_with_strides`…</span>](#creating-matrix-slices-from-t)
+/// - [Creating matrix views from `&[T]` <span style="float:right;">`from_slice`, `from_slice_with_strides`…</span>](#creating-matrix-views-from-t)
-/// - [Creating mutable matrix slices from `&mut [T]` <span style="float:right;">`from_slice_mut`, `from_slice_with_strides_mut`…</span>](#creating-mutable-matrix-slices-from-mut-t)
+/// - [Creating mutable matrix views from `&mut [T]` <span style="float:right;">`from_slice_mut`, `from_slice_with_strides_mut`…</span>](#creating-mutable-matrix-views-from-mut-t)
-/// - [Slicing based on index and length <span style="float:right;">`row`, `columns`, `slice`…</span>](#slicing-based-on-index-and-length)
+/// - [Views based on index and length <span style="float:right;">`row`, `columns`, `view`…</span>](#views-based-on-index-and-length)
-/// - [Mutable slicing based on index and length <span style="float:right;">`row_mut`, `columns_mut`, `slice_mut`…</span>](#mutable-slicing-based-on-index-and-length)
+/// - [Mutable views based on index and length <span style="float:right;">`row_mut`, `columns_mut`, `view_mut`…</span>](#mutable-views-based-on-index-and-length)
-/// - [Slicing based on ranges <span style="float:right;">`rows_range`, `columns_range`…</span>](#slicing-based-on-ranges)
+/// - [Views based on ranges <span style="float:right;">`rows_range`, `columns_range`…</span>](#views-based-on-ranges)
-/// - [Mutable slicing based on ranges <span style="float:right;">`rows_range_mut`, `columns_range_mut`…</span>](#mutable-slicing-based-on-ranges)
+/// - [Mutable views based on ranges <span style="float:right;">`rows_range_mut`, `columns_range_mut`…</span>](#mutable-views-based-on-ranges)
 ///
 /// #### In-place modification of a single matrix or vector
 /// - [In-place filling <span style="float:right;">`fill`, `fill_diagonal`, `fill_with_identity`…</span>](#in-place-filling)
@@ -140,21 +146,29 @@ pub type MatrixCross<T, R1, C1, R2, C2> =
 /// - type-level unsigned integer constants (e.g. `U1024`, `U10000`) from the `typenum::` crate.
 /// Using those, you will not get error messages as nice as for numbers smaller than 128 defined on
 /// the `nalgebra::` module.
-/// - the special value `Dynamic` from the `nalgebra::` root module. This indicates that the
+/// - the special value `Dyn` from the `nalgebra::` root module. This indicates that the
 /// specified dimension is not known at compile-time. Note that this will generally imply that the
 /// matrix data storage `S` performs a dynamic allocation and contains extra metadata for the
 /// matrix shape.
 ///
-/// Note that mixing `Dynamic` with type-level unsigned integers is allowed. Actually, a
+/// Note that mixing `Dyn` with type-level unsigned integers is allowed. Actually, a
-/// dynamically-sized column vector should be represented as a `Matrix<T, Dynamic, U1, S>` (given
+/// dynamically-sized column vector should be represented as a `Matrix<T, Dyn, U1, S>` (given
 /// some concrete types for `T` and a compatible data storage type `S`).
 #[repr(C)]
 #[derive(Clone, Copy)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Matrix<T::Archived, R, C, S::Archived>",
+        bound(archive = "
+        T: Archive,
+        S: Archive,
+        With<PhantomData<(T, R, C)>, CustomPhantom<(Archived<T>, R, C)>>: Archive<Archived = PhantomData<(Archived<T>, R, C)>>
+    ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 pub struct Matrix<T, R, C, S> {
     /// The data storage that contains all the matrix components. Disappointed?
@@ -192,6 +206,7 @@ pub struct Matrix<T, R, C, S> {
     //       of the `RawStorage` trait. However, because we don't have
     //       specialization, this is not possible because these `T, R, C`
     //       allows us to desambiguate a lot of configurations.
+    #[cfg_attr(feature = "rkyv-serialize-no-std", with(CustomPhantom<(T::Archived, R, C)>))]
     _phantoms: PhantomData<(T, R, C)>,
 }
 
@@ -326,7 +341,7 @@ impl<T> DMatrix<T> {
     ///
     /// This method exists primarily as a workaround for the fact that `from_data` can not
     /// work in `const fn` contexts.
-    pub const fn from_vec_storage(storage: VecStorage<T, Dynamic, Dynamic>) -> Self {
+    pub const fn from_vec_storage(storage: VecStorage<T, Dyn, Dyn>) -> Self {
         // This is sound because the dimensions of the matrix and the storage are guaranteed
         // to be the same
         unsafe { Self::from_data_statically_unchecked(storage) }
@@ -341,7 +356,7 @@ impl<T> DVector<T> {
     ///
     /// This method exists primarily as a workaround for the fact that `from_data` can not
     /// work in `const fn` contexts.
-    pub const fn from_vec_storage(storage: VecStorage<T, Dynamic, U1>) -> Self {
+    pub const fn from_vec_storage(storage: VecStorage<T, Dyn, U1>) -> Self {
         // This is sound because the dimensions of the matrix and the storage are guaranteed
         // to be the same
         unsafe { Self::from_data_statically_unchecked(storage) }
@@ -356,7 +371,7 @@ impl<T> RowDVector<T> {
     ///
     /// This method exists primarily as a workaround for the fact that `from_data` can not
     /// work in `const fn` contexts.
-    pub const fn from_vec_storage(storage: VecStorage<T, U1, Dynamic>) -> Self {
+    pub const fn from_vec_storage(storage: VecStorage<T, U1, Dyn>) -> Self {
         // This is sound because the dimensions of the matrix and the storage are guaranteed
         // to be the same
         unsafe { Self::from_data_statically_unchecked(storage) }
@@ -402,7 +417,7 @@ impl<T, R: Dim, C: Dim, S: RawStorage<T, R, C>> Matrix<T, R, C, S> {
         (nrows.value(), ncols.value())
     }
 
-    /// The shape of this matrix wrapped into their representative types (`Const` or `Dynamic`).
+    /// The shape of this matrix wrapped into their representative types (`Const` or `Dyn`).
     #[inline]
     #[must_use]
     pub fn shape_generic(&self) -> (R, C) {
@@ -443,7 +458,7 @@ impl<T, R: Dim, C: Dim, S: RawStorage<T, R, C>> Matrix<T, R, C, S> {
     /// ```
     /// # use nalgebra::DMatrix;
     /// let mat = DMatrix::<f32>::zeros(10, 10);
-    /// let slice = mat.slice_with_steps((0, 0), (5, 3), (1, 2));
+    /// let view = mat.view_with_steps((0, 0), (5, 3), (1, 2));
     /// // The column strides is the number of steps (here 2) multiplied by the corresponding dimension.
     /// assert_eq!(mat.strides(), (1, 10));
     /// ```
@@ -736,6 +751,24 @@ impl<T, R: Dim, C: Dim, S: RawStorage<T, R, C>> Matrix<T, R, C, S> {
         crate::convert(self)
     }
 
+    /// Attempts to cast the components of `self` to another type.
+    ///
+    /// # Example
+    /// ```
+    /// # use nalgebra::Vector3;
+    /// let q = Vector3::new(1.0f64, 2.0, 3.0);
+    /// let q2 = q.try_cast::<i32>();
+    /// assert_eq!(q2, Some(Vector3::new(1, 2, 3)));
+    /// ```
+    pub fn try_cast<T2: Scalar>(self) -> Option<OMatrix<T2, R, C>>
+    where
+        T: Scalar,
+        Self: SupersetOf<OMatrix<T2, R, C>>,
+        DefaultAllocator: Allocator<T2, R, C>,
+    {
+        crate::try_convert(self)
+    }
+
     /// Similar to `self.iter().fold(init, f)` except that `init` is replaced by a closure.
     ///
     /// The initialization closure is given the first component of this matrix:
@@ -1612,7 +1645,7 @@ impl<T: Scalar + Zero + One, D: DimAdd<U1> + IsNotStaticOne, S: RawStorage<T, D,
         );
         let dim = DimSum::<D, U1>::from_usize(self.nrows() + 1);
         let mut res = OMatrix::identity_generic(dim, dim);
-        res.generic_slice_mut::<D, D>((0, 0), self.shape_generic())
+        res.generic_view_mut::<D, D>((0, 0), self.shape_generic())
             .copy_from(self);
         res
     }
@@ -1640,7 +1673,7 @@ impl<T: Scalar + Zero, D: DimAdd<U1>, S: RawStorage<T, D>> Vector<T, D, S> {
     {
         if v[v.len() - 1].is_zero() {
             let nrows = D::from_usize(v.len() - 1);
-            Some(v.generic_slice((0, 0), (nrows, Const::<1>)).into_owned())
+            Some(v.generic_view((0, 0), (nrows, Const::<1>)).into_owned())
         } else {
             None
         }
@@ -1660,7 +1693,7 @@ impl<T: Scalar, D: DimAdd<U1>, S: RawStorage<T, D>> Vector<T, D, S> {
         let mut res = Matrix::uninit(hnrows, Const::<1>);
         // This is basically a copy_from except that we warp the copied
         // values into MaybeUninit.
-        res.generic_slice_mut((0, 0), self.shape_generic())
+        res.generic_view_mut((0, 0), self.shape_generic())
             .zip_apply(self, |out, e| *out = MaybeUninit::new(e));
         res[(len, 0)] = MaybeUninit::new(element);
 

src/base/matrix_slice.rs

@@ -1,955 +0,0 @@
-use std::marker::PhantomData;
-use std::ops::{Range, RangeFrom, RangeFull, RangeInclusive, RangeTo};
-use std::slice;
-
-use crate::base::allocator::Allocator;
-use crate::base::default_allocator::DefaultAllocator;
-use crate::base::dimension::{Const, Dim, DimName, Dynamic, IsNotStaticOne, U1};
-use crate::base::iter::MatrixIter;
-use crate::base::storage::{IsContiguous, Owned, RawStorage, RawStorageMut, Storage};
-use crate::base::{Matrix, Scalar};
-
-macro_rules! slice_storage_impl(
-    ($doc: expr; $Storage: ident as $SRef: ty; $T: ident.$get_addr: ident ($Ptr: ty as $Ref: ty)) => {
-        #[doc = $doc]
-        #[derive(Debug)]
-        pub struct $T<'a, T, R: Dim, C: Dim, RStride: Dim, CStride: Dim> {
-            ptr:       $Ptr,
-            shape:     (R, C),
-            strides:   (RStride, CStride),
-            _phantoms: PhantomData<$Ref>,
-        }
-
-        unsafe impl<'a, T: Send, R: Dim, C: Dim, RStride: Dim, CStride: Dim> Send
-            for $T<'a, T, R, C, RStride, CStride>
-        {}
-
-        unsafe impl<'a, T: Sync, R: Dim, C: Dim, RStride: Dim, CStride: Dim> Sync
-            for $T<'a, T, R, C, RStride, CStride>
-        {}
-
-        impl<'a, T, R: Dim, C: Dim, RStride: Dim, CStride: Dim> $T<'a, T, R, C, RStride, CStride> {
-            /// Create a new matrix slice without bound checking and from a raw pointer.
-            #[inline]
-            pub unsafe fn from_raw_parts(ptr:     $Ptr,
-                                         shape:   (R, C),
-                                         strides: (RStride, CStride))
-                                        -> Self
-                where RStride: Dim,
-                      CStride: Dim {
-
-                $T {
-                    ptr,
-                    shape,
-                    strides,
-                    _phantoms: PhantomData
-                }
-            }
-        }
-
-        // Dynamic is arbitrary. It's just to be able to call the constructors with `Slice::`
-        impl<'a, T, R: Dim, C: Dim> $T<'a, T, R, C, Dynamic, Dynamic> {
-            /// Create a new matrix slice without bound checking.
-            #[inline]
-            pub unsafe fn new_unchecked<RStor, CStor, S>(storage: $SRef, start: (usize, usize), shape: (R, C))
-                -> $T<'a, T, R, C, S::RStride, S::CStride>
-                where RStor: Dim,
-                      CStor: Dim,
-                      S:     $Storage<T, RStor, CStor> {
-
-                let strides = storage.strides();
-                $T::new_with_strides_unchecked(storage, start, shape, strides)
-            }
-
-            /// Create a new matrix slice without bound checking.
-            #[inline]
-            pub unsafe fn new_with_strides_unchecked<S, RStor, CStor, RStride, CStride>(storage: $SRef,
-                                                                                        start:   (usize, usize),
-                                                                                        shape:   (R, C),
-                                                                                        strides: (RStride, CStride))
-                -> $T<'a, T, R, C, RStride, CStride>
-                where RStor: Dim,
-                      CStor: Dim,
-                      S: $Storage<T, RStor, CStor>,
-                      RStride: Dim,
-                      CStride: Dim {
-                $T::from_raw_parts(storage.$get_addr(start.0, start.1), shape, strides)
-            }
-        }
-
-        impl <'a, T, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
-            $T<'a, T, R, C, RStride, CStride>
-        where
-            Self: RawStorage<T, R, C> + IsContiguous
-        {
-            /// Extracts the original slice from this storage
-            pub fn into_slice(self) -> &'a [T] {
-                let (nrows, ncols) = self.shape();
-                if nrows.value() != 0 && ncols.value() != 0 {
-                    let sz = self.linear_index(nrows.value() - 1, ncols.value() - 1);
-                    unsafe { slice::from_raw_parts(self.ptr, sz + 1) }
-                } else {
-                    unsafe { slice::from_raw_parts(self.ptr, 0) }
-                }
-            }
-        }
-    }
-);
-
-slice_storage_impl!("A matrix data storage for a matrix slice. Only contains an internal reference \
-                     to another matrix data storage.";
-    RawStorage as &'a S; SliceStorage.get_address_unchecked(*const T as &'a T));
-
-slice_storage_impl!("A mutable matrix data storage for mutable matrix slice. Only contains an \
-                     internal mutable reference to another matrix data storage.";
-    RawStorageMut as &'a mut S; SliceStorageMut.get_address_unchecked_mut(*mut T as &'a mut T)
-);
-
-impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> Copy
-    for SliceStorage<'a, T, R, C, RStride, CStride>
-{
-}
-
-impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> Clone
-    for SliceStorage<'a, T, R, C, RStride, CStride>
-{
-    #[inline]
-    fn clone(&self) -> Self {
-        Self {
-            ptr: self.ptr,
-            shape: self.shape,
-            strides: self.strides,
-            _phantoms: PhantomData,
-        }
-    }
-}
-
-impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim>
-    SliceStorageMut<'a, T, R, C, RStride, CStride>
-where
-    Self: RawStorageMut<T, R, C> + IsContiguous,
-{
-    /// Extracts the original slice from this storage
-    pub fn into_slice_mut(self) -> &'a mut [T] {
-        let (nrows, ncols) = self.shape();
-        if nrows.value() != 0 && ncols.value() != 0 {
-            let sz = self.linear_index(nrows.value() - 1, ncols.value() - 1);
-            unsafe { slice::from_raw_parts_mut(self.ptr, sz + 1) }
-        } else {
-            unsafe { slice::from_raw_parts_mut(self.ptr, 0) }
-        }
-    }
-}
-
-macro_rules! storage_impl(
-    ($($T: ident),* $(,)*) => {$(
-        unsafe impl<'a, T, R: Dim, C: Dim, RStride: Dim, CStride: Dim> RawStorage<T, R, C>
-            for $T<'a, T, R, C, RStride, CStride> {
-
-            type RStride = RStride;
-            type CStride = CStride;
-
-            #[inline]
-            fn ptr(&self) -> *const T {
-                self.ptr
-            }
-
-            #[inline]
-            fn shape(&self) -> (R, C) {
-                self.shape
-            }
-
-            #[inline]
-            fn strides(&self) -> (Self::RStride, Self::CStride) {
-                self.strides
-            }
-
-            #[inline]
-            fn is_contiguous(&self) -> bool {
-                // Common cases that can be deduced at compile-time even if one of the dimensions
-                // is Dynamic.
-                if (RStride::is::<U1>() && C::is::<U1>()) || // Column vector.
-                   (CStride::is::<U1>() && R::is::<U1>()) {  // Row vector.
-                    true
-                }
-                else {
-                    let (nrows, _)     = self.shape();
-                    let (srows, scols) = self.strides();
-
-                    srows.value() == 1 && scols.value() == nrows.value()
-                }
-            }
-
-            #[inline]
-            unsafe fn as_slice_unchecked(&self) -> &[T] {
-                let (nrows, ncols) = self.shape();
-                if nrows.value() != 0 && ncols.value() != 0 {
-                    let sz = self.linear_index(nrows.value() - 1, ncols.value() - 1);
-                    slice::from_raw_parts(self.ptr, sz + 1)
-                }
-                else {
-                    slice::from_raw_parts(self.ptr, 0)
-                }
-            }
-        }
-
-        unsafe impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> Storage<T, R, C>
-            for $T<'a, T, R, C, RStride, CStride> {
-            #[inline]
-            fn into_owned(self) -> Owned<T, R, C>
-                where DefaultAllocator: Allocator<T, R, C> {
-                self.clone_owned()
-            }
-
-            #[inline]
-            fn clone_owned(&self) -> Owned<T, R, C>
-                where DefaultAllocator: Allocator<T, R, C> {
-                let (nrows, ncols) = self.shape();
-                let it = MatrixIter::new(self).cloned();
-                DefaultAllocator::allocate_from_iterator(nrows, ncols, it)
-            }
-        }
-    )*}
-);
-
-storage_impl!(SliceStorage, SliceStorageMut);
-
-unsafe impl<'a, T, R: Dim, C: Dim, RStride: Dim, CStride: Dim> RawStorageMut<T, R, C>
-    for SliceStorageMut<'a, T, R, C, RStride, CStride>
-{
-    #[inline]
-    fn ptr_mut(&mut self) -> *mut T {
-        self.ptr
-    }
-
-    #[inline]
-    unsafe fn as_mut_slice_unchecked(&mut self) -> &mut [T] {
-        let (nrows, ncols) = self.shape();
-        if nrows.value() != 0 && ncols.value() != 0 {
-            let sz = self.linear_index(nrows.value() - 1, ncols.value() - 1);
-            slice::from_raw_parts_mut(self.ptr, sz + 1)
-        } else {
-            slice::from_raw_parts_mut(self.ptr, 0)
-        }
-    }
-}
-
-unsafe impl<'a, T, R: Dim, CStride: Dim> IsContiguous for SliceStorage<'a, T, R, U1, U1, CStride> {}
-unsafe impl<'a, T, R: Dim, CStride: Dim> IsContiguous
-    for SliceStorageMut<'a, T, R, U1, U1, CStride>
-{
-}
-
-unsafe impl<'a, T, R: DimName, C: Dim + IsNotStaticOne> IsContiguous
-    for SliceStorage<'a, T, R, C, U1, R>
-{
-}
-unsafe impl<'a, T, R: DimName, C: Dim + IsNotStaticOne> IsContiguous
-    for SliceStorageMut<'a, T, R, C, U1, R>
-{
-}
-
-impl<T, R: Dim, C: Dim, S: RawStorage<T, R, C>> Matrix<T, R, C, S> {
-    #[inline]
-    fn assert_slice_index(
-        &self,
-        start: (usize, usize),
-        shape: (usize, usize),
-        steps: (usize, usize),
-    ) {
-        let my_shape = self.shape();
-        // NOTE: we don't do any subtraction to avoid underflow for zero-sized matrices.
-        //
-        // Terms that would have been negative are moved to the other side of the inequality
-        // instead.
-        assert!(
-            start.0 + (steps.0 + 1) * shape.0 <= my_shape.0 + steps.0,
-            "Matrix slicing out of bounds."
-        );
-        assert!(
-            start.1 + (steps.1 + 1) * shape.1 <= my_shape.1 + steps.1,
-            "Matrix slicing out of bounds."
-        );
-    }
-}
-
-macro_rules! matrix_slice_impl(
-    ($me: ident: $Me: ty, $MatrixSlice: ident, $SliceStorage: ident, $Storage: ident.$get_addr: ident (), $data: expr;
-     $row: ident,
-     $row_part: ident,
-     $rows: ident,
-     $rows_with_step: ident,
-     $fixed_rows: ident,
-     $fixed_rows_with_step: ident,
-     $rows_generic: ident,
-     $rows_generic_with_step: ident,
-     $column: ident,
-     $column_part: ident,
-     $columns: ident,
-     $columns_with_step: ident,
-     $fixed_columns: ident,
-     $fixed_columns_with_step: ident,
-     $columns_generic: ident,
-     $columns_generic_with_step: ident,
-     $slice: ident,
-     $slice_with_steps: ident,
-     $fixed_slice: ident,
-     $fixed_slice_with_steps: ident,
-     $generic_slice: ident,
-     $generic_slice_with_steps: ident,
-     $rows_range_pair: ident,
-     $columns_range_pair: ident) => {
-        /*
-         *
-         * Row slicing.
-         *
-         */
-        /// Returns a slice containing the i-th row of this matrix.
-        #[inline]
-        pub fn $row($me: $Me, i: usize) -> $MatrixSlice<'_, T, U1, C, S::RStride, S::CStride> {
-            $me.$fixed_rows::<1>(i)
-        }
-
-        /// Returns a slice containing the `n` first elements of the i-th row of this matrix.
-        #[inline]
-        pub fn $row_part($me: $Me, i: usize, n: usize) -> $MatrixSlice<'_, T, U1, Dynamic, S::RStride, S::CStride> {
-            $me.$generic_slice((i, 0), (Const::<1>, Dynamic::new(n)))
-        }
-
-        /// Extracts from this matrix a set of consecutive rows.
-        #[inline]
-        pub fn $rows($me: $Me, first_row: usize, nrows: usize)
-            -> $MatrixSlice<'_, T, Dynamic, C, S::RStride, S::CStride> {
-
-            $me.$rows_generic(first_row, Dynamic::new(nrows))
-        }
-
-        /// Extracts from this matrix a set of consecutive rows regularly skipping `step` rows.
-        #[inline]
-        pub fn $rows_with_step($me: $Me, first_row: usize, nrows: usize, step: usize)
-            -> $MatrixSlice<'_, T, Dynamic, C, Dynamic, S::CStride> {
-
-            $me.$rows_generic_with_step(first_row, Dynamic::new(nrows), step)
-        }
-
-        /// Extracts a compile-time number of consecutive rows from this matrix.
-        #[inline]
-        pub fn $fixed_rows<const RSLICE: usize>($me: $Me, first_row: usize)
-            -> $MatrixSlice<'_, T, Const<RSLICE>, C, S::RStride, S::CStride> {
-
-            $me.$rows_generic(first_row, Const::<RSLICE>)
-        }
-
-        /// Extracts from this matrix a compile-time number of rows regularly skipping `step`
-        /// rows.
-        #[inline]
-        pub fn $fixed_rows_with_step<const RSLICE: usize>($me: $Me, first_row: usize, step: usize)
-            -> $MatrixSlice<'_, T, Const<RSLICE>, C, Dynamic, S::CStride> {
-
-            $me.$rows_generic_with_step(first_row, Const::<RSLICE>, step)
-        }
-
-        /// Extracts from this matrix `nrows` rows regularly skipping `step` rows. Both
-        /// argument may or may not be values known at compile-time.
-        #[inline]
-        pub fn $rows_generic<RSlice: Dim>($me: $Me, row_start: usize, nrows: RSlice)
-            -> $MatrixSlice<'_, T, RSlice, C, S::RStride, S::CStride> {
-
-            let my_shape   = $me.shape_generic();
-            $me.assert_slice_index((row_start, 0), (nrows.value(), my_shape.1.value()), (0, 0));
-
-            let shape = (nrows, my_shape.1);
-
-            unsafe {
-                let data = $SliceStorage::new_unchecked($data, (row_start, 0), shape);
-                Matrix::from_data_statically_unchecked(data)
-            }
-        }
-
-        /// Extracts from this matrix `nrows` rows regularly skipping `step` rows. Both
-        /// argument may or may not be values known at compile-time.
-        #[inline]
-        pub fn $rows_generic_with_step<RSlice>($me: $Me, row_start: usize, nrows: RSlice, step: usize)
-            -> $MatrixSlice<'_, T, RSlice, C, Dynamic, S::CStride>
-            where RSlice: Dim {
-
-            let my_shape   = $me.shape_generic();
-            let my_strides = $me.data.strides();
-            $me.assert_slice_index((row_start, 0), (nrows.value(), my_shape.1.value()), (step, 0));
-
-            let strides = (Dynamic::new((step + 1) * my_strides.0.value()), my_strides.1);
-            let shape   = (nrows, my_shape.1);
-
-            unsafe {
-                let data = $SliceStorage::new_with_strides_unchecked($data, (row_start, 0), shape, strides);
-                Matrix::from_data_statically_unchecked(data)
-            }
-        }
-
-        /*
-         *
-         * Column slicing.
-         *
-         */
-        /// Returns a slice containing the i-th column of this matrix.
-        #[inline]
-        pub fn $column($me: $Me, i: usize) -> $MatrixSlice<'_, T, R, U1, S::RStride, S::CStride> {
-            $me.$fixed_columns::<1>(i)
-        }
-
-        /// Returns a slice containing the `n` first elements of the i-th column of this matrix.
-        #[inline]
-        pub fn $column_part($me: $Me, i: usize, n: usize) -> $MatrixSlice<'_, T, Dynamic, U1, S::RStride, S::CStride> {
-            $me.$generic_slice((0, i), (Dynamic::new(n), Const::<1>))
-        }
-
-        /// Extracts from this matrix a set of consecutive columns.
-        #[inline]
-        pub fn $columns($me: $Me, first_col: usize, ncols: usize)
-            -> $MatrixSlice<'_, T, R, Dynamic, S::RStride, S::CStride> {
-
-            $me.$columns_generic(first_col, Dynamic::new(ncols))
-        }
-
-        /// Extracts from this matrix a set of consecutive columns regularly skipping `step`
-        /// columns.
-        #[inline]
-        pub fn $columns_with_step($me: $Me, first_col: usize, ncols: usize, step: usize)
-            -> $MatrixSlice<'_, T, R, Dynamic, S::RStride, Dynamic> {
-
-            $me.$columns_generic_with_step(first_col, Dynamic::new(ncols), step)
-        }
-
-        /// Extracts a compile-time number of consecutive columns from this matrix.
-        #[inline]
-        pub fn $fixed_columns<const CSLICE: usize>($me: $Me, first_col: usize)
-            -> $MatrixSlice<'_, T, R, Const<CSLICE>, S::RStride, S::CStride> {
-
-            $me.$columns_generic(first_col, Const::<CSLICE>)
-        }
-
-        /// Extracts from this matrix a compile-time number of columns regularly skipping
-        /// `step` columns.
-        #[inline]
-        pub fn $fixed_columns_with_step<const CSLICE: usize>($me: $Me, first_col: usize, step: usize)
-            -> $MatrixSlice<'_, T, R, Const<CSLICE>, S::RStride, Dynamic> {
-
-            $me.$columns_generic_with_step(first_col, Const::<CSLICE>, step)
-        }
-
-        /// Extracts from this matrix `ncols` columns. The number of columns may or may not be
-        /// known at compile-time.
-        #[inline]
-        pub fn $columns_generic<CSlice: Dim>($me: $Me, first_col: usize, ncols: CSlice)
-            -> $MatrixSlice<'_, T, R, CSlice, S::RStride, S::CStride> {
-
-            let my_shape = $me.shape_generic();
-            $me.assert_slice_index((0, first_col), (my_shape.0.value(), ncols.value()), (0, 0));
-            let shape = (my_shape.0, ncols);
-
-            unsafe {
-                let data = $SliceStorage::new_unchecked($data, (0, first_col), shape);
-                Matrix::from_data_statically_unchecked(data)
-            }
-        }
-
-
-        /// Extracts from this matrix `ncols` columns skipping `step` columns. Both argument may
-        /// or may not be values known at compile-time.
-        #[inline]
-        pub fn $columns_generic_with_step<CSlice: Dim>($me: $Me, first_col: usize, ncols: CSlice, step: usize)
-            -> $MatrixSlice<'_, T, R, CSlice, S::RStride, Dynamic> {
-
-            let my_shape   = $me.shape_generic();
-            let my_strides = $me.data.strides();
-
-            $me.assert_slice_index((0, first_col), (my_shape.0.value(), ncols.value()), (0, step));
-
-            let strides = (my_strides.0, Dynamic::new((step + 1) * my_strides.1.value()));
-            let shape   = (my_shape.0, ncols);
-
-            unsafe {
-                let data = $SliceStorage::new_with_strides_unchecked($data, (0, first_col), shape, strides);
-                Matrix::from_data_statically_unchecked(data)
-            }
-        }
-
-        /*
-         *
-         * General slicing.
-         *
-         */
-        /// Slices this matrix starting at its component `(irow, icol)` and with `(nrows, ncols)`
-        /// consecutive elements.
-        #[inline]
-        pub fn $slice($me: $Me, start: (usize, usize), shape: (usize, usize))
-            -> $MatrixSlice<'_, T, Dynamic, Dynamic, S::RStride, S::CStride> {
-
-            $me.assert_slice_index(start, shape, (0, 0));
-            let shape = (Dynamic::new(shape.0), Dynamic::new(shape.1));
-
-            unsafe {
-                let data = $SliceStorage::new_unchecked($data, start, shape);
-                Matrix::from_data_statically_unchecked(data)
-            }
-        }
-
-
-        /// Slices this matrix starting at its component `(start.0, start.1)` and with
-        /// `(shape.0, shape.1)` components. Each row (resp. column) of the sliced matrix is
-        /// separated by `steps.0` (resp. `steps.1`) ignored rows (resp. columns) of the
-        /// original matrix.
-        #[inline]
-        pub fn $slice_with_steps($me: $Me, start: (usize, usize), shape: (usize, usize), steps: (usize, usize))
-            -> $MatrixSlice<'_, T, Dynamic, Dynamic, Dynamic, Dynamic> {
-            let shape = (Dynamic::new(shape.0), Dynamic::new(shape.1));
-
-            $me.$generic_slice_with_steps(start, shape, steps)
-        }
-
-        /// Slices this matrix starting at its component `(irow, icol)` and with `(R::dim(),
-        /// CSlice::dim())` consecutive components.
-        #[inline]
-        pub fn $fixed_slice<const RSLICE: usize, const CSLICE: usize>($me: $Me, irow: usize, icol: usize)
-            -> $MatrixSlice<'_, T, Const<RSLICE>, Const<CSLICE>, S::RStride, S::CStride> {
-
-            $me.assert_slice_index((irow, icol), (RSLICE, CSLICE), (0, 0));
-            let shape = (Const::<RSLICE>, Const::<CSLICE>);
-
-            unsafe {
-                let data = $SliceStorage::new_unchecked($data, (irow, icol), shape);
-                Matrix::from_data_statically_unchecked(data)
-            }
-        }
-
-        /// Slices this matrix starting at its component `(start.0, start.1)` and with
-        /// `(RSLICE, CSLICE)` components. Each row (resp. column) of the sliced
-        /// matrix is separated by `steps.0` (resp. `steps.1`) ignored rows (resp. columns) of
-        /// the original matrix.
-        #[inline]
-        pub fn $fixed_slice_with_steps<const RSLICE: usize, const CSLICE: usize>($me: $Me, start: (usize, usize), steps: (usize, usize))
-            -> $MatrixSlice<'_, T, Const<RSLICE>, Const<CSLICE>, Dynamic, Dynamic> {
-            let shape = (Const::<RSLICE>, Const::<CSLICE>);
-            $me.$generic_slice_with_steps(start, shape, steps)
-        }
-
-        /// Creates a slice that may or may not have a fixed size and stride.
-        #[inline]
-        pub fn $generic_slice<RSlice, CSlice>($me: $Me, start: (usize, usize), shape: (RSlice, CSlice))
-            -> $MatrixSlice<'_, T, RSlice, CSlice, S::RStride, S::CStride>
-            where RSlice: Dim,
-                  CSlice: Dim {
-
-            $me.assert_slice_index(start, (shape.0.value(), shape.1.value()), (0, 0));
-
-            unsafe {
-                let data = $SliceStorage::new_unchecked($data, start, shape);
-                Matrix::from_data_statically_unchecked(data)
-            }
-        }
-
-        /// Creates a slice that may or may not have a fixed size and stride.
-        #[inline]
-        pub fn $generic_slice_with_steps<RSlice, CSlice>($me: $Me,
-                                                         start: (usize, usize),
-                                                         shape: (RSlice, CSlice),
-                                                         steps: (usize, usize))
-            -> $MatrixSlice<'_, T, RSlice, CSlice, Dynamic, Dynamic>
-            where RSlice: Dim,
-                  CSlice: Dim {
-
-            $me.assert_slice_index(start, (shape.0.value(), shape.1.value()), steps);
-
-            let my_strides = $me.data.strides();
-            let strides    = (Dynamic::new((steps.0 + 1) * my_strides.0.value()),
-                              Dynamic::new((steps.1 + 1) * my_strides.1.value()));
-
-            unsafe {
-                let data = $SliceStorage::new_with_strides_unchecked($data, start, shape, strides);
-                Matrix::from_data_statically_unchecked(data)
-            }
-        }
-
-        /*
-         *
-         * Splitting.
-         *
-         */
-        /// Splits this `NxM` matrix into two parts delimited by two ranges.
-        ///
-        /// Panics if the ranges overlap or if the first range is empty.
-        #[inline]
-        pub fn $rows_range_pair<Range1: SliceRange<R>, Range2: SliceRange<R>>($me: $Me, r1: Range1, r2: Range2)
-            -> ($MatrixSlice<'_, T, Range1::Size, C, S::RStride, S::CStride>,
-                $MatrixSlice<'_, T, Range2::Size, C, S::RStride, S::CStride>) {
-
-            let (nrows, ncols) = $me.shape_generic();
-            let strides        = $me.data.strides();
-
-            let start1 = r1.begin(nrows);
-            let start2 = r2.begin(nrows);
-
-            let end1 = r1.end(nrows);
-            let end2 = r2.end(nrows);
-
-            let nrows1 = r1.size(nrows);
-            let nrows2 = r2.size(nrows);
-
-            assert!(start2 >= end1 || start1 >= end2, "Rows range pair: the slice ranges must not overlap.");
-            assert!(end2 <= nrows.value(), "Rows range pair: index out of range.");
-
-            unsafe {
-                let ptr1 = $data.$get_addr(start1, 0);
-                let ptr2 = $data.$get_addr(start2, 0);
-
-                let data1  = $SliceStorage::from_raw_parts(ptr1, (nrows1, ncols), strides);
-                let data2  = $SliceStorage::from_raw_parts(ptr2, (nrows2, ncols), strides);
-                let slice1 = Matrix::from_data_statically_unchecked(data1);
-                let slice2 = Matrix::from_data_statically_unchecked(data2);
-
-                (slice1, slice2)
-            }
-        }
-
-        /// Splits this `NxM` matrix into two parts delimited by two ranges.
-        ///
-        /// Panics if the ranges overlap or if the first range is empty.
-        #[inline]
-        pub fn $columns_range_pair<Range1: SliceRange<C>, Range2: SliceRange<C>>($me: $Me, r1: Range1, r2: Range2)
-            -> ($MatrixSlice<'_, T, R, Range1::Size, S::RStride, S::CStride>,
-                $MatrixSlice<'_, T, R, Range2::Size, S::RStride, S::CStride>) {
-
-            let (nrows, ncols) = $me.shape_generic();
-            let strides        = $me.data.strides();
-
-            let start1 = r1.begin(ncols);
-            let start2 = r2.begin(ncols);
-
-            let end1 = r1.end(ncols);
-            let end2 = r2.end(ncols);
-
-            let ncols1 = r1.size(ncols);
-            let ncols2 = r2.size(ncols);
-
-            assert!(start2 >= end1 || start1 >= end2, "Columns range pair: the slice ranges must not overlap.");
-            assert!(end2 <= ncols.value(), "Columns range pair: index out of range.");
-
-            unsafe {
-                let ptr1 = $data.$get_addr(0, start1);
-                let ptr2 = $data.$get_addr(0, start2);
-
-                let data1  = $SliceStorage::from_raw_parts(ptr1, (nrows, ncols1), strides);
-                let data2  = $SliceStorage::from_raw_parts(ptr2, (nrows, ncols2), strides);
-                let slice1 = Matrix::from_data_statically_unchecked(data1);
-                let slice2 = Matrix::from_data_statically_unchecked(data2);
-
-                (slice1, slice2)
-            }
-        }
-    }
-);
-
-/// A matrix slice.
-pub type MatrixSlice<'a, T, R, C, RStride = U1, CStride = R> =
-    Matrix<T, R, C, SliceStorage<'a, T, R, C, RStride, CStride>>;
-/// A mutable matrix slice.
-pub type MatrixSliceMut<'a, T, R, C, RStride = U1, CStride = R> =
-    Matrix<T, R, C, SliceStorageMut<'a, T, R, C, RStride, CStride>>;
-
-/// # Slicing based on index and length
-impl<T, R: Dim, C: Dim, S: RawStorage<T, R, C>> Matrix<T, R, C, S> {
-    matrix_slice_impl!(
-     self: &Self, MatrixSlice, SliceStorage, RawStorage.get_address_unchecked(), &self.data;
-     row,
-     row_part,
-     rows,
-     rows_with_step,
-     fixed_rows,
-     fixed_rows_with_step,
-     rows_generic,
-     rows_generic_with_step,
-     column,
-     column_part,
-     columns,
-     columns_with_step,
-     fixed_columns,
-     fixed_columns_with_step,
-     columns_generic,
-     columns_generic_with_step,
-     slice,
-     slice_with_steps,
-     fixed_slice,
-     fixed_slice_with_steps,
-     generic_slice,
-     generic_slice_with_steps,
-     rows_range_pair,
-     columns_range_pair);
-}
-
-/// # Mutable slicing based on index and length
-impl<T, R: Dim, C: Dim, S: RawStorageMut<T, R, C>> Matrix<T, R, C, S> {
-    matrix_slice_impl!(
-     self: &mut Self, MatrixSliceMut, SliceStorageMut, RawStorageMut.get_address_unchecked_mut(), &mut self.data;
-     row_mut,
-     row_part_mut,
-     rows_mut,
-     rows_with_step_mut,
-     fixed_rows_mut,
-     fixed_rows_with_step_mut,
-     rows_generic_mut,
-     rows_generic_with_step_mut,
-     column_mut,
-     column_part_mut,
-     columns_mut,
-     columns_with_step_mut,
-     fixed_columns_mut,
-     fixed_columns_with_step_mut,
-     columns_generic_mut,
-     columns_generic_with_step_mut,
-     slice_mut,
-     slice_with_steps_mut,
-     fixed_slice_mut,
-     fixed_slice_with_steps_mut,
-     generic_slice_mut,
-     generic_slice_with_steps_mut,
-     rows_range_pair_mut,
-     columns_range_pair_mut);
-}
-
-/// A range with a size that may be known at compile-time.
-///
-/// This may be:
-/// * A single `usize` index, e.g., `4`
-/// * A left-open range `std::ops::RangeTo`, e.g., `.. 4`
-/// * A right-open range `std::ops::RangeFrom`, e.g., `4 ..`
-/// * A full range `std::ops::RangeFull`, e.g., `..`
-pub trait SliceRange<D: Dim> {
-    /// Type of the range size. May be a type-level integer.
-    type Size: Dim;
-
-    /// The start index of the range.
-    fn begin(&self, shape: D) -> usize;
-    // NOTE: this is the index immediately after the last index.
-    /// The index immediately after the last index inside of the range.
-    fn end(&self, shape: D) -> usize;
-    /// The number of elements of the range, i.e., `self.end - self.begin`.
-    fn size(&self, shape: D) -> Self::Size;
-}
-
-impl<D: Dim> SliceRange<D> for usize {
-    type Size = U1;
-
-    #[inline(always)]
-    fn begin(&self, _: D) -> usize {
-        *self
-    }
-
-    #[inline(always)]
-    fn end(&self, _: D) -> usize {
-        *self + 1
-    }
-
-    #[inline(always)]
-    fn size(&self, _: D) -> Self::Size {
-        Const::<1>
-    }
-}
-
-impl<D: Dim> SliceRange<D> for Range<usize> {
-    type Size = Dynamic;
-
-    #[inline(always)]
-    fn begin(&self, _: D) -> usize {
-        self.start
-    }
-
-    #[inline(always)]
-    fn end(&self, _: D) -> usize {
-        self.end
-    }
-
-    #[inline(always)]
-    fn size(&self, _: D) -> Self::Size {
-        Dynamic::new(self.end - self.start)
-    }
-}
-
-impl<D: Dim> SliceRange<D> for RangeFrom<usize> {
-    type Size = Dynamic;
-
-    #[inline(always)]
-    fn begin(&self, _: D) -> usize {
-        self.start
-    }
-
-    #[inline(always)]
-    fn end(&self, dim: D) -> usize {
-        dim.value()
-    }
-
-    #[inline(always)]
-    fn size(&self, dim: D) -> Self::Size {
-        Dynamic::new(dim.value() - self.start)
-    }
-}
-
-impl<D: Dim> SliceRange<D> for RangeTo<usize> {
-    type Size = Dynamic;
-
-    #[inline(always)]
-    fn begin(&self, _: D) -> usize {
-        0
-    }
-
-    #[inline(always)]
-    fn end(&self, _: D) -> usize {
-        self.end
-    }
-
-    #[inline(always)]
-    fn size(&self, _: D) -> Self::Size {
-        Dynamic::new(self.end)
-    }
-}
-
-impl<D: Dim> SliceRange<D> for RangeFull {
-    type Size = D;
-
-    #[inline(always)]
-    fn begin(&self, _: D) -> usize {
-        0
-    }
-
-    #[inline(always)]
-    fn end(&self, dim: D) -> usize {
-        dim.value()
-    }
-
-    #[inline(always)]
-    fn size(&self, dim: D) -> Self::Size {
-        dim
-    }
-}
-
-impl<D: Dim> SliceRange<D> for RangeInclusive<usize> {
-    type Size = Dynamic;
-
-    #[inline(always)]
-    fn begin(&self, _: D) -> usize {
-        *self.start()
-    }
-
-    #[inline(always)]
-    fn end(&self, _: D) -> usize {
-        *self.end() + 1
-    }
-
-    #[inline(always)]
-    fn size(&self, _: D) -> Self::Size {
-        Dynamic::new(*self.end() + 1 - *self.start())
-    }
-}
-
-// TODO: see how much of this overlaps with the general indexing
-// methods from indexing.rs.
-impl<T, R: Dim, C: Dim, S: RawStorage<T, R, C>> Matrix<T, R, C, S> {
-    /// Slices a sub-matrix containing the rows indexed by the range `rows` and the columns indexed
-    /// by the range `cols`.
-    #[inline]
-    #[must_use]
-    pub fn slice_range<RowRange, ColRange>(
-        &self,
-        rows: RowRange,
-        cols: ColRange,
-    ) -> MatrixSlice<'_, T, RowRange::Size, ColRange::Size, S::RStride, S::CStride>
-    where
-        RowRange: SliceRange<R>,
-        ColRange: SliceRange<C>,
-    {
-        let (nrows, ncols) = self.shape_generic();
-        self.generic_slice(
-            (rows.begin(nrows), cols.begin(ncols)),
-            (rows.size(nrows), cols.size(ncols)),
-        )
-    }
-
-    /// Slice containing all the rows indexed by the range `rows`.
-    #[inline]
-    #[must_use]
-    pub fn rows_range<RowRange: SliceRange<R>>(
-        &self,
-        rows: RowRange,
-    ) -> MatrixSlice<'_, T, RowRange::Size, C, S::RStride, S::CStride> {
-        self.slice_range(rows, ..)
-    }
-
-    /// Slice containing all the columns indexed by the range `rows`.
-    #[inline]
-    #[must_use]
-    pub fn columns_range<ColRange: SliceRange<C>>(
-        &self,
-        cols: ColRange,
-    ) -> MatrixSlice<'_, T, R, ColRange::Size, S::RStride, S::CStride> {
-        self.slice_range(.., cols)
-    }
-}
-
-// TODO: see how much of this overlaps with the general indexing
-// methods from indexing.rs.
-impl<T, R: Dim, C: Dim, S: RawStorageMut<T, R, C>> Matrix<T, R, C, S> {
-    /// Slices a mutable sub-matrix containing the rows indexed by the range `rows` and the columns
-    /// indexed by the range `cols`.
-    pub fn slice_range_mut<RowRange, ColRange>(
-        &mut self,
-        rows: RowRange,
-        cols: ColRange,
-    ) -> MatrixSliceMut<'_, T, RowRange::Size, ColRange::Size, S::RStride, S::CStride>
-    where
-        RowRange: SliceRange<R>,
-        ColRange: SliceRange<C>,
-    {
-        let (nrows, ncols) = self.shape_generic();
-        self.generic_slice_mut(
-            (rows.begin(nrows), cols.begin(ncols)),
-            (rows.size(nrows), cols.size(ncols)),
-        )
-    }
-
-    /// Slice containing all the rows indexed by the range `rows`.
-    #[inline]
-    pub fn rows_range_mut<RowRange: SliceRange<R>>(
-        &mut self,
-        rows: RowRange,
-    ) -> MatrixSliceMut<'_, T, RowRange::Size, C, S::RStride, S::CStride> {
-        self.slice_range_mut(rows, ..)
-    }
-
-    /// Slice containing all the columns indexed by the range `cols`.
-    #[inline]
-    pub fn columns_range_mut<ColRange: SliceRange<C>>(
-        &mut self,
-        cols: ColRange,
-    ) -> MatrixSliceMut<'_, T, R, ColRange::Size, S::RStride, S::CStride> {
-        self.slice_range_mut(.., cols)
-    }
-}
-
-impl<'a, T, R, C, RStride, CStride> From<MatrixSliceMut<'a, T, R, C, RStride, CStride>>
-    for MatrixSlice<'a, T, R, C, RStride, CStride>
-where
-    R: Dim,
-    C: Dim,
-    RStride: Dim,
-    CStride: Dim,
-{
-    fn from(slice_mut: MatrixSliceMut<'a, T, R, C, RStride, CStride>) -> Self {
-        let data = SliceStorage {
-            ptr: slice_mut.data.ptr,
-            shape: slice_mut.data.shape,
-            strides: slice_mut.data.strides,
-            _phantoms: PhantomData,
-        };
-
-        unsafe { Matrix::from_data_statically_unchecked(data) }
-    }
-}

src/base/mod.rs

@@ -12,18 +12,19 @@ pub mod storage;
 
 mod alias;
 mod alias_slice;
+mod alias_view;
 mod array_storage;
 mod cg;
 mod componentwise;
 #[macro_use]
 mod construction;
-mod construction_slice;
+mod construction_view;
 mod conversion;
 mod edition;
 pub mod indexing;
 mod matrix;
 mod matrix_simba;
-mod matrix_slice;
+mod matrix_view;
 mod norm;
 mod properties;
 mod scalar;
@@ -41,6 +42,12 @@ mod min_max;
 /// Mechanisms for working with values that may not be initialized.
 pub mod uninit;
 
+#[cfg(feature = "rayon")]
+pub mod par_iter;
+
+#[cfg(feature = "rkyv-serialize-no-std")]
+mod rkyv_wrappers;
+
 pub use self::matrix::*;
 pub use self::norm::*;
 pub use self::scalar::*;
@@ -51,8 +58,9 @@ pub use self::dimension::*;
 
 pub use self::alias::*;
 pub use self::alias_slice::*;
+pub use self::alias_view::*;
 pub use self::array_storage::*;
-pub use self::matrix_slice::*;
+pub use self::matrix_view::*;
 pub use self::storage::*;
 #[cfg(any(feature = "std", feature = "alloc"))]
 pub use self::vec_storage::*;

src/base/ops.rs

@@ -11,10 +11,10 @@ use crate::base::blas_uninit::gemm_uninit;
 use crate::base::constraint::{
     AreMultipliable, DimEq, SameNumberOfColumns, SameNumberOfRows, ShapeConstraint,
 };
-use crate::base::dimension::{Dim, DimMul, DimName, DimProd, Dynamic};
+use crate::base::dimension::{Dim, DimMul, DimName, DimProd, Dyn};
 use crate::base::storage::{Storage, StorageMut};
 use crate::base::uninit::Uninit;
-use crate::base::{DefaultAllocator, Matrix, MatrixSum, OMatrix, Scalar, VectorSlice};
+use crate::base::{DefaultAllocator, Matrix, MatrixSum, OMatrix, Scalar, VectorView};
 use crate::storage::IsContiguous;
 use crate::uninit::{Init, InitStatus};
 use crate::{RawStorage, RawStorageMut, SimdComplexField};
@@ -374,10 +374,10 @@ where
     }
 }
 
-impl<T, C: Dim> iter::Sum for OMatrix<T, Dynamic, C>
+impl<T, C: Dim> iter::Sum for OMatrix<T, Dyn, C>
 where
     T: Scalar + ClosedAdd + Zero,
-    DefaultAllocator: Allocator<T, Dynamic, C>,
+    DefaultAllocator: Allocator<T, Dyn, C>,
 {
     /// # Example
     /// ```
@@ -395,7 +395,7 @@ where
     /// # use nalgebra::DMatrix;
     /// iter::empty::<DMatrix<f64>>().sum::<DMatrix<f64>>(); // panics!
     /// ```
-    fn sum<I: Iterator<Item = OMatrix<T, Dynamic, C>>>(mut iter: I) -> OMatrix<T, Dynamic, C> {
+    fn sum<I: Iterator<Item = OMatrix<T, Dyn, C>>>(mut iter: I) -> OMatrix<T, Dyn, C> {
         if let Some(first) = iter.next() {
             iter.fold(first, |acc, x| acc + x)
         } else {
@@ -414,10 +414,10 @@ where
     }
 }
 
-impl<'a, T, C: Dim> iter::Sum<&'a OMatrix<T, Dynamic, C>> for OMatrix<T, Dynamic, C>
+impl<'a, T, C: Dim> iter::Sum<&'a OMatrix<T, Dyn, C>> for OMatrix<T, Dyn, C>
 where
     T: Scalar + ClosedAdd + Zero,
-    DefaultAllocator: Allocator<T, Dynamic, C>,
+    DefaultAllocator: Allocator<T, Dyn, C>,
 {
     /// # Example
     /// ```
@@ -435,7 +435,7 @@ where
     /// # use nalgebra::DMatrix;
     /// iter::empty::<&DMatrix<f64>>().sum::<DMatrix<f64>>(); // panics!
     /// ```
-    fn sum<I: Iterator<Item = &'a OMatrix<T, Dynamic, C>>>(mut iter: I) -> OMatrix<T, Dynamic, C> {
+    fn sum<I: Iterator<Item = &'a OMatrix<T, Dyn, C>>>(mut iter: I) -> OMatrix<T, Dyn, C> {
         if let Some(first) = iter.next() {
             iter.fold(first.clone(), |acc, x| acc + x)
         } else {
@@ -703,8 +703,8 @@ where
         rhs: &Matrix<T, R2, C2, SB>,
         out: &mut Matrix<Status::Value, R3, C3, SC>,
         dot: impl Fn(
-            &VectorSlice<'_, T, R1, SA::RStride, SA::CStride>,
+            &VectorView<'_, T, R1, SA::RStride, SA::CStride>,
-            &VectorSlice<'_, T, R2, SB::RStride, SB::CStride>,
+            &VectorView<'_, T, R2, SB::RStride, SB::CStride>,
         ) -> T,
     ) where
         Status: InitStatus<T>,

src/base/par_iter.rs

@@ -0,0 +1,285 @@
+//! Parallel iterators for matrices compatible with rayon.
+
+// only enables the `doc_cfg` feature when
+// the `docsrs` configuration attribute is defined
+#![cfg_attr(docsrs, feature(doc_cfg))]
+
+use crate::{
+    iter::{ColumnIter, ColumnIterMut},
+    Dim, Matrix, MatrixView, MatrixViewMut, RawStorage, RawStorageMut, Scalar, U1,
+};
+use rayon::iter::plumbing::Producer;
+use rayon::{iter::plumbing::bridge, prelude::*};
+
+/// A rayon parallel iterator over the colums of a matrix. It is created
+/// using the [`par_column_iter`] method of [`Matrix`].
+///
+/// *Only available if compiled with the feature `rayon`.*
+/// [`par_column_iter`]: crate::Matrix::par_column_iter
+/// [`Matrix`]: crate::Matrix
+#[cfg_attr(doc_cfg, doc(cfg(feature = "rayon")))]
+pub struct ParColumnIter<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> {
+    mat: &'a Matrix<T, R, Cols, S>,
+}
+
+impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> ParColumnIter<'a, T, R, Cols, S> {
+    /// Create a new parallel iterator for the given matrix.
+    fn new(matrix: &'a Matrix<T, R, Cols, S>) -> Self {
+        Self { mat: matrix }
+    }
+}
+
+#[cfg_attr(doc_cfg, doc(cfg(feature = "rayon")))]
+impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> ParallelIterator
+    for ParColumnIter<'a, T, R, Cols, S>
+where
+    T: Sync + Send + Scalar,
+    S: Sync,
+{
+    type Item = MatrixView<'a, T, R, U1, S::RStride, S::CStride>;
+
+    fn drive_unindexed<Consumer>(self, consumer: Consumer) -> Consumer::Result
+    where
+        Consumer: rayon::iter::plumbing::UnindexedConsumer<Self::Item>,
+    {
+        bridge(self, consumer)
+    }
+
+    fn opt_len(&self) -> Option<usize> {
+        Some(self.mat.ncols())
+    }
+}
+
+#[cfg_attr(doc_cfg, doc(cfg(feature = "rayon")))]
+/// *Only available if compiled with the feature `rayon`.*
+impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> IndexedParallelIterator
+    for ParColumnIter<'a, T, R, Cols, S>
+where
+    T: Send + Sync + Scalar,
+    S: Sync,
+{
+    fn len(&self) -> usize {
+        self.mat.ncols()
+    }
+
+    fn drive<C: rayon::iter::plumbing::Consumer<Self::Item>>(self, consumer: C) -> C::Result {
+        bridge(self, consumer)
+    }
+
+    fn with_producer<CB: rayon::iter::plumbing::ProducerCallback<Self::Item>>(
+        self,
+        callback: CB,
+    ) -> CB::Output {
+        let producer = ColumnProducer(ColumnIter::new(self.mat));
+        callback.callback(producer)
+    }
+}
+
+#[cfg_attr(doc_cfg, doc(cfg(feature = "rayon")))]
+/// A rayon parallel iterator through the mutable columns of a matrix.
+/// *Only available if compiled with the feature `rayon`.*
+pub struct ParColumnIterMut<
+    'a,
+    T,
+    R: Dim,
+    Cols: Dim,
+    S: RawStorage<T, R, Cols> + RawStorageMut<T, R, Cols>,
+> {
+    mat: &'a mut Matrix<T, R, Cols, S>,
+}
+
+#[cfg_attr(doc_cfg, doc(cfg(feature = "rayon")))]
+/// *only availabe if compiled with the feature `rayon`*
+impl<'a, T, R, Cols, S> ParColumnIterMut<'a, T, R, Cols, S>
+where
+    R: Dim,
+    Cols: Dim,
+    S: RawStorage<T, R, Cols> + RawStorageMut<T, R, Cols>,
+{
+    /// create a new parallel iterator for the given matrix.
+    fn new(mat: &'a mut Matrix<T, R, Cols, S>) -> Self {
+        Self { mat }
+    }
+}
+
+#[cfg_attr(doc_cfg, doc(cfg(feature = "rayon")))]
+/// *Only available if compiled with the feature `rayon`*
+impl<'a, T, R, Cols, S> ParallelIterator for ParColumnIterMut<'a, T, R, Cols, S>
+where
+    R: Dim,
+    Cols: Dim,
+    S: RawStorage<T, R, Cols> + RawStorageMut<T, R, Cols>,
+    T: Send + Sync + Scalar,
+    S: Send + Sync,
+{
+    type Item = MatrixViewMut<'a, T, R, U1, S::RStride, S::CStride>;
+    fn drive_unindexed<C>(self, consumer: C) -> C::Result
+    where
+        C: rayon::iter::plumbing::UnindexedConsumer<Self::Item>,
+    {
+        bridge(self, consumer)
+    }
+
+    fn opt_len(&self) -> Option<usize> {
+        Some(self.mat.ncols())
+    }
+}
+
+#[cfg_attr(doc_cfg, doc(cfg(feature = "rayon")))]
+/// *Only available if compiled with the feature `rayon`*
+impl<'a, T, R, Cols, S> IndexedParallelIterator for ParColumnIterMut<'a, T, R, Cols, S>
+where
+    R: Dim,
+    Cols: Dim,
+    S: RawStorage<T, R, Cols> + RawStorageMut<T, R, Cols>,
+    T: Send + Sync + Scalar,
+    S: Send + Sync,
+{
+    fn drive<C: rayon::iter::plumbing::Consumer<Self::Item>>(self, consumer: C) -> C::Result {
+        bridge(self, consumer)
+    }
+
+    fn len(&self) -> usize {
+        self.mat.ncols()
+    }
+
+    fn with_producer<CB: rayon::iter::plumbing::ProducerCallback<Self::Item>>(
+        self,
+        callback: CB,
+    ) -> CB::Output {
+        let producer = ColumnProducerMut(ColumnIterMut::new(self.mat));
+        callback.callback(producer)
+    }
+}
+
+#[cfg_attr(doc_cfg, doc(cfg(feature = "rayon")))]
+/// # Parallel iterators using `rayon`
+/// *Only available if compiled with the feature `rayon`*
+impl<T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> Matrix<T, R, Cols, S>
+where
+    T: Send + Sync + Scalar,
+    S: Sync,
+{
+    /// Iterate through the columns of the matrix in parallel using rayon.
+    /// This iterates over *immutable* references ot the columns of the matrix,
+    /// if *mutable* access to the columns is required, use [`par_column_iter_mut`]
+    /// instead.
+    ///
+    /// # Example
+    /// Using parallel column iterators to calculate the sum of the maximum
+    /// elements in each column:
+    /// ```
+    /// use nalgebra::{dmatrix, DMatrix};
+    /// use rayon::prelude::*;
+    ///
+    /// let matrix : DMatrix<f64> = dmatrix![1.0, 0.0, 5.0;
+    ///     2.0, 4.0, 1.0;
+    ///     3.0, 2.0, 2.0;
+    /// ];
+    /// let sum_of_max :f64 = matrix
+    ///     .par_column_iter()
+    ///     .map(|col| col.max())
+    ///     .sum();
+    ///
+    /// assert_eq!(sum_of_max,3.0 + 4.0 + 5.0);
+    ///                             
+    /// ```
+    ///
+    /// [`par_column_iter_mut`]: crate::Matrix::par_column_iter_mut
+    pub fn par_column_iter(&self) -> ParColumnIter<'_, T, R, Cols, S> {
+        ParColumnIter::new(self)
+    }
+
+    /// Mutably iterate through the columns of this matrix in parallel using rayon.
+    /// Allows mutable access to the columns in parallel using mutable references.
+    /// If mutable access to the columns is not required rather use [`par_column_iter`]
+    /// instead.
+    ///
+    /// # Example
+    /// Normalize each column of a matrix with respect to its own maximum value.
+    ///
+    /// ```
+    /// use nalgebra::{dmatrix, DMatrix};
+    /// use rayon::prelude::*;
+    ///
+    /// let mut matrix : DMatrix<f64> = dmatrix![
+    ///     2.0, 4.0, 6.0;
+    ///     1.0, 2.0, 3.0;
+    /// ];
+    /// matrix.par_column_iter_mut().for_each(|mut col| col /= col.max());
+    ///
+    /// assert_eq!(matrix, dmatrix![1.0, 1.0, 1.0; 0.5, 0.5, 0.5]);
+    /// ```
+    ///
+    /// [`par_column_iter`]: crate::Matrix::par_column_iter
+    pub fn par_column_iter_mut(&mut self) -> ParColumnIterMut<'_, T, R, Cols, S>
+    where
+        S: RawStorageMut<T, R, Cols>,
+    {
+        ParColumnIterMut::new(self)
+    }
+}
+
+/// A private helper newtype that wraps the `ColumnIter` and implements
+/// the rayon `Producer` trait. It's just here so we don't have to make the
+/// rayon trait part of the public interface of the `ColumnIter`.
+struct ColumnProducer<'a, T, R: Dim, C: Dim, S: RawStorage<T, R, C>>(ColumnIter<'a, T, R, C, S>);
+
+#[cfg_attr(doc_cfg, doc(cfg(feature = "rayon")))]
+/// *only available if compiled with the feature `rayon`*
+impl<'a, T, R: Dim, Cols: Dim, S: RawStorage<T, R, Cols>> Producer
+    for ColumnProducer<'a, T, R, Cols, S>
+where
+    T: Send + Sync + Scalar,
+    S: Sync,
+{
+    type Item = MatrixView<'a, T, R, U1, S::RStride, S::CStride>;
+    type IntoIter = ColumnIter<'a, T, R, Cols, S>;
+
+    #[inline]
+    fn into_iter(self) -> Self::IntoIter {
+        self.0
+    }
+
+    #[inline]
+    fn split_at(self, index: usize) -> (Self, Self) {
+        // The index is relative to the size of this current iterator.
+        // It will always start at zero so it serves as an offset.
+        let (left_iter, right_iter) = self.0.split_at(index);
+        (Self(left_iter), Self(right_iter))
+    }
+}
+
+/// See `ColumnProducer`. A private wrapper newtype that keeps the Producer
+/// implementation private
+struct ColumnProducerMut<'a, T, R: Dim, C: Dim, S: RawStorageMut<T, R, C>>(
+    ColumnIterMut<'a, T, R, C, S>,
+);
+
+impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Producer
+    for ColumnProducerMut<'a, T, R, C, S>
+where
+    T: Send + Sync + Scalar,
+    S: Send + Sync,
+{
+    type Item = MatrixViewMut<'a, T, R, U1, S::RStride, S::CStride>;
+    type IntoIter = ColumnIterMut<'a, T, R, C, S>;
+
+    fn into_iter(self) -> Self::IntoIter {
+        self.0
+    }
+
+    fn split_at(self, index: usize) -> (Self, Self) {
+        // The index is relative to the size of this current iterator
+        // it will always start at zero so it serves as an offset.
+        let (left_iter, right_iter) = self.0.split_at(index);
+        (Self(left_iter), Self(right_iter))
+    }
+}
+
+/// this implementation is safe because we are enforcing exclusive access
+/// to the columns through the active range of the iterator
+unsafe impl<'a, T: Scalar, R: Dim, C: Dim, S: 'a + RawStorageMut<T, R, C>> Send
+    for ColumnIterMut<'a, T, R, C, S>
+{
+}

src/base/rkyv_wrappers.rs

@@ -0,0 +1,46 @@
+//! Wrapper that allows changing the generic type of a PhantomData<T>
+//!
+//! Copied from https://github.com/rkyv/rkyv_contrib (MIT-Apache2 licences) which isn’t published yet.
+
+use rkyv::{
+    with::{ArchiveWith, DeserializeWith, SerializeWith},
+    Fallible,
+};
+use std::marker::PhantomData;
+
+/// A wrapper that allows for changing the generic type of a PhantomData<T>.
+pub struct CustomPhantom<NT: ?Sized> {
+    _data: PhantomData<*const NT>,
+}
+
+impl<OT: ?Sized, NT: ?Sized> ArchiveWith<PhantomData<OT>> for CustomPhantom<NT> {
+    type Archived = PhantomData<NT>;
+    type Resolver = ();
+
+    #[inline]
+    unsafe fn resolve_with(
+        _: &PhantomData<OT>,
+        _: usize,
+        _: Self::Resolver,
+        _: *mut Self::Archived,
+    ) {
+    }
+}
+
+impl<OT: ?Sized, NT: ?Sized, S: Fallible + ?Sized> SerializeWith<PhantomData<OT>, S>
+    for CustomPhantom<NT>
+{
+    #[inline]
+    fn serialize_with(_: &PhantomData<OT>, _: &mut S) -> Result<Self::Resolver, S::Error> {
+        Ok(())
+    }
+}
+
+impl<OT: ?Sized, NT: ?Sized, D: Fallible + ?Sized>
+    DeserializeWith<PhantomData<NT>, PhantomData<OT>, D> for CustomPhantom<NT>
+{
+    #[inline]
+    fn deserialize_with(_: &PhantomData<NT>, _: &mut D) -> Result<PhantomData<OT>, D::Error> {
+        Ok(PhantomData)
+    }
+}

src/base/statistics.rs

@@ -1,6 +1,6 @@
 use crate::allocator::Allocator;
 use crate::storage::RawStorage;
-use crate::{Const, DefaultAllocator, Dim, Matrix, OVector, RowOVector, Scalar, VectorSlice, U1};
+use crate::{Const, DefaultAllocator, Dim, Matrix, OVector, RowOVector, Scalar, VectorView, U1};
 use num::{One, Zero};
 use simba::scalar::{ClosedAdd, ClosedMul, Field, SupersetOf};
 use std::mem::MaybeUninit;
@@ -13,7 +13,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: RawStorage<T, R, C>> Matrix<T, R, C, S> {
     #[must_use]
     pub fn compress_rows(
         &self,
-        f: impl Fn(VectorSlice<'_, T, R, S::RStride, S::CStride>) -> T,
+        f: impl Fn(VectorView<'_, T, R, S::RStride, S::CStride>) -> T,
     ) -> RowOVector<T, C>
     where
         DefaultAllocator: Allocator<T, U1, C>,
@@ -41,7 +41,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: RawStorage<T, R, C>> Matrix<T, R, C, S> {
     #[must_use]
     pub fn compress_rows_tr(
         &self,
-        f: impl Fn(VectorSlice<'_, T, R, S::RStride, S::CStride>) -> T,
+        f: impl Fn(VectorView<'_, T, R, S::RStride, S::CStride>) -> T,
     ) -> OVector<T, C>
     where
         DefaultAllocator: Allocator<T, C>,
@@ -67,7 +67,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: RawStorage<T, R, C>> Matrix<T, R, C, S> {
     pub fn compress_columns(
         &self,
         init: OVector<T, R>,
-        f: impl Fn(&mut OVector<T, R>, VectorSlice<'_, T, R, S::RStride, S::CStride>),
+        f: impl Fn(&mut OVector<T, R>, VectorView<'_, T, R, S::RStride, S::CStride>),
     ) -> OVector<T, R>
     where
         DefaultAllocator: Allocator<T, R>,

src/base/storage.rs

@@ -122,7 +122,7 @@ pub unsafe trait RawStorage<T, R: Dim, C: Dim = U1>: Sized {
     /// # Safety
     /// The matrix components may not be stored in a contiguous way, depending on the strides.
     /// This method is unsafe because this can yield to invalid aliasing when called on some pairs
-    /// of matrix slices originating from the same matrix with strides.
+    /// of matrix views originating from the same matrix with strides.
     ///
     /// Call the safe alternative `matrix.as_slice()` instead.
     unsafe fn as_slice_unchecked(&self) -> &[T];
@@ -148,7 +148,7 @@ pub unsafe trait Storage<T, R: Dim, C: Dim = U1>: RawStorage<T, R, C> {
 /// contains `MaybeUninit<T>` elements.
 ///
 /// Note that a mutable access does not mean that the matrix owns its data. For example, a mutable
-/// matrix slice can provide mutable access to its elements even if it does not own its data (it
+/// matrix view can provide mutable access to its elements even if it does not own its data (it
 /// contains only an internal reference to them).
 pub unsafe trait RawStorageMut<T, R: Dim, C: Dim = U1>: RawStorage<T, R, C> {
     /// The matrix mutable data pointer.

src/base/unit.rs

@@ -21,11 +21,17 @@ use crate::{Dim, Matrix, OMatrix, RealField, Scalar, SimdComplexField, SimdRealF
 /// in their documentation, read their dedicated pages directly.
 #[repr(transparent)]
 #[derive(Clone, Hash, Copy)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Unit<T::Archived>",
+        bound(archive = "
+        T: rkyv::Archive,
+    ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 // #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 pub struct Unit<T> {
     pub(crate) value: T,

src/base/vec_storage.rs

@@ -4,7 +4,7 @@ use alloc::vec::Vec;
 use crate::base::allocator::Allocator;
 use crate::base::constraint::{SameNumberOfRows, ShapeConstraint};
 use crate::base::default_allocator::DefaultAllocator;
-use crate::base::dimension::{Dim, DimName, Dynamic, U1};
+use crate::base::dimension::{Dim, DimName, Dyn, U1};
 use crate::base::storage::{IsContiguous, Owned, RawStorage, RawStorageMut, ReshapableStorage};
 use crate::base::{Scalar, Vector};
 
@@ -188,13 +188,13 @@ impl<T, R: Dim, C: Dim> From<VecStorage<T, R, C>> for Vec<T> {
 
 /*
  *
- * Dynamic − Static
+ * Dyn − Static
- * Dynamic − Dynamic
+ * Dyn − Dyn
  *
  */
-unsafe impl<T, C: Dim> RawStorage<T, Dynamic, C> for VecStorage<T, Dynamic, C> {
+unsafe impl<T, C: Dim> RawStorage<T, Dyn, C> for VecStorage<T, Dyn, C> {
     type RStride = U1;
-    type CStride = Dynamic;
+    type CStride = Dyn;
 
     #[inline]
     fn ptr(&self) -> *const T {
@@ -202,7 +202,7 @@ unsafe impl<T, C: Dim> RawStorage<T, Dynamic, C> for VecStorage<T, Dynamic, C> {
     }
 
     #[inline]
-    fn shape(&self) -> (Dynamic, C) {
+    fn shape(&self) -> (Dyn, C) {
         (self.nrows, self.ncols)
     }
 
@@ -222,28 +222,28 @@ unsafe impl<T, C: Dim> RawStorage<T, Dynamic, C> for VecStorage<T, Dynamic, C> {
     }
 }
 
-unsafe impl<T: Scalar, C: Dim> Storage<T, Dynamic, C> for VecStorage<T, Dynamic, C>
+unsafe impl<T: Scalar, C: Dim> Storage<T, Dyn, C> for VecStorage<T, Dyn, C>
 where
-    DefaultAllocator: Allocator<T, Dynamic, C, Buffer = Self>,
+    DefaultAllocator: Allocator<T, Dyn, C, Buffer = Self>,
 {
     #[inline]
-    fn into_owned(self) -> Owned<T, Dynamic, C>
+    fn into_owned(self) -> Owned<T, Dyn, C>
     where
-        DefaultAllocator: Allocator<T, Dynamic, C>,
+        DefaultAllocator: Allocator<T, Dyn, C>,
     {
         self
     }
 
     #[inline]
-    fn clone_owned(&self) -> Owned<T, Dynamic, C>
+    fn clone_owned(&self) -> Owned<T, Dyn, C>
     where
-        DefaultAllocator: Allocator<T, Dynamic, C>,
+        DefaultAllocator: Allocator<T, Dyn, C>,
     {
         self.clone()
     }
 }
 
-unsafe impl<T, R: DimName> RawStorage<T, R, Dynamic> for VecStorage<T, R, Dynamic> {
+unsafe impl<T, R: DimName> RawStorage<T, R, Dyn> for VecStorage<T, R, Dyn> {
     type RStride = U1;
     type CStride = R;
 
@@ -253,7 +253,7 @@ unsafe impl<T, R: DimName> RawStorage<T, R, Dynamic> for VecStorage<T, R, Dynami
     }
 
     #[inline]
-    fn shape(&self) -> (R, Dynamic) {
+    fn shape(&self) -> (R, Dyn) {
         (self.nrows, self.ncols)
     }
 
@@ -273,22 +273,22 @@ unsafe impl<T, R: DimName> RawStorage<T, R, Dynamic> for VecStorage<T, R, Dynami
     }
 }
 
-unsafe impl<T: Scalar, R: DimName> Storage<T, R, Dynamic> for VecStorage<T, R, Dynamic>
+unsafe impl<T: Scalar, R: DimName> Storage<T, R, Dyn> for VecStorage<T, R, Dyn>
 where
-    DefaultAllocator: Allocator<T, R, Dynamic, Buffer = Self>,
+    DefaultAllocator: Allocator<T, R, Dyn, Buffer = Self>,
 {
     #[inline]
-    fn into_owned(self) -> Owned<T, R, Dynamic>
+    fn into_owned(self) -> Owned<T, R, Dyn>
     where
-        DefaultAllocator: Allocator<T, R, Dynamic>,
+        DefaultAllocator: Allocator<T, R, Dyn>,
     {
         self
     }
 
     #[inline]
-    fn clone_owned(&self) -> Owned<T, R, Dynamic>
+    fn clone_owned(&self) -> Owned<T, R, Dyn>
     where
-        DefaultAllocator: Allocator<T, R, Dynamic>,
+        DefaultAllocator: Allocator<T, R, Dyn>,
     {
         self.clone()
     }
@@ -299,7 +299,7 @@ where
  * RawStorageMut, ContiguousStorage.
  *
  */
-unsafe impl<T, C: Dim> RawStorageMut<T, Dynamic, C> for VecStorage<T, Dynamic, C> {
+unsafe impl<T, C: Dim> RawStorageMut<T, Dyn, C> for VecStorage<T, Dyn, C> {
     #[inline]
     fn ptr_mut(&mut self) -> *mut T {
         self.data.as_mut_ptr()
@@ -313,15 +313,15 @@ unsafe impl<T, C: Dim> RawStorageMut<T, Dynamic, C> for VecStorage<T, Dynamic, C
 
 unsafe impl<T, R: Dim, C: Dim> IsContiguous for VecStorage<T, R, C> {}
 
-impl<T, C1, C2> ReshapableStorage<T, Dynamic, C1, Dynamic, C2> for VecStorage<T, Dynamic, C1>
+impl<T, C1, C2> ReshapableStorage<T, Dyn, C1, Dyn, C2> for VecStorage<T, Dyn, C1>
 where
     T: Scalar,
     C1: Dim,
     C2: Dim,
 {
-    type Output = VecStorage<T, Dynamic, C2>;
+    type Output = VecStorage<T, Dyn, C2>;
 
-    fn reshape_generic(self, nrows: Dynamic, ncols: C2) -> Self::Output {
+    fn reshape_generic(self, nrows: Dyn, ncols: C2) -> Self::Output {
         assert_eq!(nrows.value() * ncols.value(), self.data.len());
         VecStorage {
             data: self.data,
@@ -331,15 +331,15 @@ where
     }
 }
 
-impl<T, C1, R2> ReshapableStorage<T, Dynamic, C1, R2, Dynamic> for VecStorage<T, Dynamic, C1>
+impl<T, C1, R2> ReshapableStorage<T, Dyn, C1, R2, Dyn> for VecStorage<T, Dyn, C1>
 where
     T: Scalar,
     C1: Dim,
     R2: DimName,
 {
-    type Output = VecStorage<T, R2, Dynamic>;
+    type Output = VecStorage<T, R2, Dyn>;
 
-    fn reshape_generic(self, nrows: R2, ncols: Dynamic) -> Self::Output {
+    fn reshape_generic(self, nrows: R2, ncols: Dyn) -> Self::Output {
         assert_eq!(nrows.value() * ncols.value(), self.data.len());
         VecStorage {
             data: self.data,
@@ -349,7 +349,7 @@ where
     }
 }
 
-unsafe impl<T, R: DimName> RawStorageMut<T, R, Dynamic> for VecStorage<T, R, Dynamic> {
+unsafe impl<T, R: DimName> RawStorageMut<T, R, Dyn> for VecStorage<T, R, Dyn> {
     #[inline]
     fn ptr_mut(&mut self) -> *mut T {
         self.data.as_mut_ptr()
@@ -361,15 +361,15 @@ unsafe impl<T, R: DimName> RawStorageMut<T, R, Dynamic> for VecStorage<T, R, Dyn
     }
 }
 
-impl<T, R1, C2> ReshapableStorage<T, R1, Dynamic, Dynamic, C2> for VecStorage<T, R1, Dynamic>
+impl<T, R1, C2> ReshapableStorage<T, R1, Dyn, Dyn, C2> for VecStorage<T, R1, Dyn>
 where
     T: Scalar,
     R1: DimName,
     C2: Dim,
 {
-    type Output = VecStorage<T, Dynamic, C2>;
+    type Output = VecStorage<T, Dyn, C2>;
 
-    fn reshape_generic(self, nrows: Dynamic, ncols: C2) -> Self::Output {
+    fn reshape_generic(self, nrows: Dyn, ncols: C2) -> Self::Output {
         assert_eq!(nrows.value() * ncols.value(), self.data.len());
         VecStorage {
             data: self.data,
@@ -379,15 +379,15 @@ where
     }
 }
 
-impl<T, R1, R2> ReshapableStorage<T, R1, Dynamic, R2, Dynamic> for VecStorage<T, R1, Dynamic>
+impl<T, R1, R2> ReshapableStorage<T, R1, Dyn, R2, Dyn> for VecStorage<T, R1, Dyn>
 where
     T: Scalar,
     R1: DimName,
     R2: DimName,
 {
-    type Output = VecStorage<T, R2, Dynamic>;
+    type Output = VecStorage<T, R2, Dyn>;
 
-    fn reshape_generic(self, nrows: R2, ncols: Dynamic) -> Self::Output {
+    fn reshape_generic(self, nrows: R2, ncols: Dyn) -> Self::Output {
         assert_eq!(nrows.value() * ncols.value(), self.data.len());
         VecStorage {
             data: self.data,
@@ -397,7 +397,7 @@ where
     }
 }
 
-impl<T, R: Dim> Extend<T> for VecStorage<T, R, Dynamic> {
+impl<T, R: Dim> Extend<T> for VecStorage<T, R, Dyn> {
     /// Extends the number of columns of the `VecStorage` with elements
     /// from the given iterator.
     ///
@@ -407,13 +407,13 @@ impl<T, R: Dim> Extend<T> for VecStorage<T, R, Dynamic> {
     /// `VecStorage`.
     fn extend<I: IntoIterator<Item = T>>(&mut self, iter: I) {
         self.data.extend(iter);
-        self.ncols = Dynamic::new(self.data.len() / self.nrows.value());
+        self.ncols = Dyn(self.data.len() / self.nrows.value());
         assert!(self.data.len() % self.nrows.value() == 0,
           "The number of elements produced by the given iterator was not a multiple of the number of rows.");
     }
 }
 
-impl<'a, T: 'a + Copy, R: Dim> Extend<&'a T> for VecStorage<T, R, Dynamic> {
+impl<'a, T: 'a + Copy, R: Dim> Extend<&'a T> for VecStorage<T, R, Dyn> {
     /// Extends the number of columns of the `VecStorage` with elements
     /// from the given iterator.
     ///
@@ -426,7 +426,7 @@ impl<'a, T: 'a + Copy, R: Dim> Extend<&'a T> for VecStorage<T, R, Dynamic> {
     }
 }
 
-impl<T, R, RV, SV> Extend<Vector<T, RV, SV>> for VecStorage<T, R, Dynamic>
+impl<T, R, RV, SV> Extend<Vector<T, RV, SV>> for VecStorage<T, R, Dyn>
 where
     T: Scalar,
     R: Dim,
@@ -450,15 +450,15 @@ where
             assert_eq!(nrows, vector.shape().0);
             self.data.extend(vector.iter().cloned());
         }
-        self.ncols = Dynamic::new(self.data.len() / nrows);
+        self.ncols = Dyn(self.data.len() / nrows);
     }
 }
 
-impl<T> Extend<T> for VecStorage<T, Dynamic, U1> {
+impl<T> Extend<T> for VecStorage<T, Dyn, U1> {
     /// Extends the number of rows of the `VecStorage` with elements
     /// from the given iterator.
     fn extend<I: IntoIterator<Item = T>>(&mut self, iter: I) {
         self.data.extend(iter);
-        self.nrows = Dynamic::new(self.data.len());
+        self.nrows = Dyn(self.data.len());
     }
 }

src/debug/random_orthogonal.rs

@@ -4,7 +4,7 @@ use crate::base::storage::Owned;
 use quickcheck::{Arbitrary, Gen};
 
 use crate::base::allocator::Allocator;
-use crate::base::dimension::{Dim, Dynamic};
+use crate::base::dimension::{Dim, Dyn};
 use crate::base::Scalar;
 use crate::base::{DefaultAllocator, OMatrix};
 use crate::linalg::givens::GivensRotation;
@@ -12,7 +12,7 @@ use simba::scalar::ComplexField;
 
 /// A random orthogonal matrix.
 #[derive(Clone, Debug)]
-pub struct RandomOrthogonal<T: Scalar, D: Dim = Dynamic>
+pub struct RandomOrthogonal<T: Scalar, D: Dim = Dyn>
 where
     DefaultAllocator: Allocator<T, D, D>,
 {

src/debug/random_sdp.rs

@@ -4,7 +4,7 @@ use crate::base::storage::Owned;
 use quickcheck::{Arbitrary, Gen};
 
 use crate::base::allocator::Allocator;
-use crate::base::dimension::{Dim, Dynamic};
+use crate::base::dimension::{Dim, Dyn};
 use crate::base::Scalar;
 use crate::base::{DefaultAllocator, OMatrix};
 use simba::scalar::ComplexField;
@@ -13,7 +13,7 @@ use crate::debug::RandomOrthogonal;
 
 /// A random, well-conditioned, symmetric definite-positive matrix.
 #[derive(Clone, Debug)]
-pub struct RandomSDP<T: Scalar, D: Dim = Dynamic>
+pub struct RandomSDP<T: Scalar, D: Dim = Dyn>
 where
     DefaultAllocator: Allocator<T, D, D>,
 {

src/geometry/dual_quaternion.rs

@@ -40,11 +40,18 @@ use simba::scalar::{ClosedNeg, RealField};
 ///  See <https://github.com/dimforge/nalgebra/issues/487>
 #[repr(C)]
 #[derive(Debug, Copy, Clone)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "DualQuaternion<T::Archived>",
+        bound(archive = "
+        T: rkyv::Archive,
+        Quaternion<T>: rkyv::Archive<Archived = Quaternion<T::Archived>>
+    ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 pub struct DualQuaternion<T> {
     /// The real component of the quaternion

src/geometry/isometry.rs

@@ -21,6 +21,7 @@ use crate::geometry::{AbstractRotation, Point, Translation};
 /// A 2D isometry is composed of:
 /// - A translation part of type [`Translation2`](crate::Translation2)
 /// - A rotation part which can either be a [`UnitComplex`](crate::UnitComplex) or a [`Rotation2`](crate::Rotation2).
+///
 /// A 3D isometry is composed of:
 /// - A translation part of type [`Translation3`](crate::Translation3)
 /// - A rotation part which can either be a [`UnitQuaternion`](crate::UnitQuaternion) or a [`Rotation3`](crate::Rotation3).
@@ -66,11 +67,19 @@ use crate::geometry::{AbstractRotation, Point, Translation};
                        Owned<T, Const<D>>: Deserialize<'de>,
                        T: Scalar"))
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Isometry<T::Archived, R::Archived, D>",
+        bound(archive = "
+        T: rkyv::Archive,
+        R: rkyv::Archive,
+        Translation<T, D>: rkyv::Archive<Archived = Translation<T::Archived, D>>
+    ")
+    )
 )]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 pub struct Isometry<T, R, const D: usize> {
     /// The pure rotational part of this isometry.
     pub rotation: R,
@@ -425,7 +434,7 @@ impl<T: SimdRealField, R, const D: usize> Isometry<T, R, D> {
         DefaultAllocator: Allocator<T, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>,
     {
         let mut res: OMatrix<T, _, _> = crate::convert_ref(&self.rotation);
-        res.fixed_slice_mut::<D, 1>(0, D)
+        res.fixed_view_mut::<D, 1>(0, D)
             .copy_from(&self.translation.vector);
 
         res

src/geometry/isometry_conversion.rs

@@ -153,8 +153,8 @@ where
 
     #[inline]
     fn is_in_subset(m: &OMatrix<T2, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>) -> bool {
-        let rot = m.fixed_slice::<D, D>(0, 0);
+        let rot = m.fixed_view::<D, D>(0, 0);
-        let bottom = m.fixed_slice::<1, D>(D, 0);
+        let bottom = m.fixed_view::<1, D>(D, 0);
 
         // Scalar types agree.
         m.iter().all(|e| SupersetOf::<T1>::is_in_subset(e)) &&
@@ -168,7 +168,7 @@ where
     fn from_superset_unchecked(
         m: &OMatrix<T2, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>,
     ) -> Self {
-        let t = m.fixed_slice::<D, 1>(0, D).into_owned();
+        let t = m.fixed_view::<D, 1>(0, D).into_owned();
         let t = Translation {
             vector: crate::convert_unchecked(t),
         };

src/geometry/orthographic.rs

@@ -19,11 +19,18 @@ use crate::geometry::{Point3, Projective3};
 
 /// A 3D orthographic projection stored as a homogeneous 4x4 matrix.
 #[repr(C)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Orthographic3<T::Archived>",
+        bound(archive = "
+        T: rkyv::Archive,
+        Matrix4<T>: rkyv::Archive<Archived = Matrix4<T::Archived>>
+    ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 #[derive(Copy, Clone)]
 pub struct Orthographic3<T> {

src/geometry/perspective.rs

@@ -20,11 +20,18 @@ use crate::geometry::{Point3, Projective3};
 
 /// A 3D perspective projection stored as a homogeneous 4x4 matrix.
 #[repr(C)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Perspective3<T::Archived>",
+        bound(archive = "
+        T: rkyv::Archive,
+        Matrix4<T>: rkyv::Archive<Archived = Matrix4<T::Archived>>
+    ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 #[derive(Copy, Clone)]
 pub struct Perspective3<T> {

src/geometry/point.rs

@@ -36,11 +36,20 @@ use std::mem::MaybeUninit;
 /// of said transformations for details.
 #[repr(C)]
 #[derive(Clone)]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "OPoint<T::Archived, D>",
+        bound(archive = "
+        T: rkyv::Archive,
+        T::Archived: Scalar,
+        OVector<T, D>: rkyv::Archive<Archived = OVector<T::Archived, D>>,
+        DefaultAllocator: Allocator<T::Archived, D>,
+    ")
+    )
 )]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 pub struct OPoint<T: Scalar, D: DimName>
 where
     DefaultAllocator: Allocator<T, D>,
@@ -204,7 +213,7 @@ where
         let mut res = crate::Matrix::uninit(DimNameSum::<D, U1>::name(), Const::<1>);
         // This is basically a copy_from except that we warp the copied
         // values into MaybeUninit.
-        res.generic_slice_mut((0, 0), self.coords.shape_generic())
+        res.generic_view_mut((0, 0), self.coords.shape_generic())
             .zip_apply(&self.coords, |out, e| *out = MaybeUninit::new(e));
         res[(len, 0)] = MaybeUninit::new(T::one());
 

src/geometry/point_construction.rs

@@ -113,7 +113,7 @@ where
         DefaultAllocator: Allocator<T, DimNameSum<D, U1>>,
     {
         if !v[D::dim()].is_zero() {
-            let coords = v.generic_slice((0, 0), (D::name(), Const::<1>)) / v[D::dim()].clone();
+            let coords = v.generic_view((0, 0), (D::name(), Const::<1>)) / v[D::dim()].clone();
             Some(Self::from(coords))
         } else {
             None

src/geometry/point_conversion.rs

@@ -66,7 +66,7 @@ where
 
     #[inline]
     fn from_superset_unchecked(v: &OVector<T2, DimNameSum<D, U1>>) -> Self {
-        let coords = v.generic_slice((0, 0), (D::name(), Const::<1>)) / v[D::dim()].clone();
+        let coords = v.generic_view((0, 0), (D::name(), Const::<1>)) / v[D::dim()].clone();
         Self {
             coords: crate::convert_unchecked(coords),
         }

src/geometry/quaternion.rs

@@ -14,7 +14,7 @@ use simba::simd::{SimdBool, SimdOption, SimdRealField};
 use crate::base::dimension::{U1, U3, U4};
 use crate::base::storage::{CStride, RStride};
 use crate::base::{
-    Matrix3, Matrix4, MatrixSlice, MatrixSliceMut, Normed, Scalar, Unit, Vector3, Vector4,
+    Matrix3, Matrix4, MatrixView, MatrixViewMut, Normed, Scalar, Unit, Vector3, Vector4,
 };
 
 use crate::geometry::{Point3, Rotation};
@@ -23,11 +23,18 @@ use crate::geometry::{Point3, Rotation};
 /// that may be used as a rotation.
 #[repr(C)]
 #[derive(Copy, Clone)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Quaternion<T::Archived>",
+        bound(archive = "
+            T: rkyv::Archive,
+            Vector4<T>: rkyv::Archive<Archived = Vector4<T::Archived>>
+        ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 pub struct Quaternion<T> {
     /// This quaternion as a 4D vector of coordinates in the `[ x, y, z, w ]` storage order.
@@ -188,7 +195,7 @@ where
     /// ```
     #[inline]
     #[must_use]
-    pub fn vector(&self) -> MatrixSlice<'_, T, U3, U1, RStride<T, U4, U1>, CStride<T, U4, U1>> {
+    pub fn vector(&self) -> MatrixView<'_, T, U3, U1, RStride<T, U4, U1>, CStride<T, U4, U1>> {
         self.coords.fixed_rows::<3>(0)
     }
 
@@ -581,7 +588,7 @@ where
     #[inline]
     pub fn vector_mut(
         &mut self,
-    ) -> MatrixSliceMut<'_, T, U3, U1, RStride<T, U4, U1>, CStride<T, U4, U1>> {
+    ) -> MatrixViewMut<'_, T, U3, U1, RStride<T, U4, U1>, CStride<T, U4, U1>> {
         self.coords.fixed_rows_mut::<3>(0)
     }
 
@@ -1320,7 +1327,7 @@ where
         }
     }
 
-    /// The rotation axis and angle in ]0, pi] of this unit quaternion.
+    /// The rotation axis and angle in (0, pi] of this unit quaternion.
     ///
     /// Returns `None` if the angle is zero.
     ///

src/geometry/rotation.rs

@@ -49,11 +49,18 @@ use crate::geometry::Point;
 /// * [Conversion to a matrix <span style="float:right;">`matrix`, `to_homogeneous`…</span>](#conversion-to-a-matrix)
 ///
 #[repr(C)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Rotation<T::Archived, D>",
+        bound(archive = "
+        T: rkyv::Archive,
+        SMatrix<T, D, D>: rkyv::Archive<Archived = SMatrix<T::Archived, D, D>>
+    ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 #[derive(Copy, Clone)]
 pub struct Rotation<T, const D: usize> {
@@ -258,7 +265,7 @@ impl<T: Scalar, const D: usize> Rotation<T, D> {
         // adding the additional traits `DimAdd` and `IsNotStaticOne`. Maybe
         // these things will get nicer once specialization lands in Rust.
         let mut res = OMatrix::<T, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>::identity();
-        res.fixed_slice_mut::<D, D>(0, 0).copy_from(&self.matrix);
+        res.fixed_view_mut::<D, D>(0, 0).copy_from(&self.matrix);
 
         res
     }

src/geometry/rotation_conversion.rs

@@ -211,8 +211,8 @@ where
 
     #[inline]
     fn is_in_subset(m: &OMatrix<T2, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>) -> bool {
-        let rot = m.fixed_slice::<D, D>(0, 0);
+        let rot = m.fixed_view::<D, D>(0, 0);
-        let bottom = m.fixed_slice::<1, D>(D, 0);
+        let bottom = m.fixed_view::<1, D>(D, 0);
 
         // Scalar types agree.
         m.iter().all(|e| SupersetOf::<T1>::is_in_subset(e)) &&
@@ -226,7 +226,7 @@ where
     fn from_superset_unchecked(
         m: &OMatrix<T2, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>,
     ) -> Self {
-        let r = m.fixed_slice::<D, D>(0, 0);
+        let r = m.fixed_view::<D, D>(0, 0);
         Self::from_matrix_unchecked(crate::convert_unchecked(r.into_owned()))
     }
 }

src/geometry/rotation_specialization.rs

@@ -877,7 +877,7 @@ impl<T: SimdRealField> Rotation3<T> {
         }
     }
 
-    /// The rotation axis and angle in ]0, pi] of this rotation matrix.
+    /// The rotation axis and angle in (0, pi] of this rotation matrix.
     ///
     /// Returns `None` if the angle is zero.
     ///
@@ -956,13 +956,15 @@ impl<T: SimdRealField> Rotation3<T> {
     {
         // Implementation informed by "Computing Euler angles from a rotation matrix", by Gregory G. Slabaugh
         //  https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.6578
+        //  where roll, pitch, yaw angles are referred to as ψ, θ, ϕ,
         if self[(2, 0)].clone().abs() < T::one() {
-            let yaw = -self[(2, 0)].clone().asin();
+            let pitch = -self[(2, 0)].clone().asin();
-            let roll = (self[(2, 1)].clone() / yaw.clone().cos())
+            let theta_cos = pitch.clone().cos();
-                .atan2(self[(2, 2)].clone() / yaw.clone().cos());
+            let roll = (self[(2, 1)].clone() / theta_cos.clone())
-            let pitch = (self[(1, 0)].clone() / yaw.clone().cos())
+                .atan2(self[(2, 2)].clone() / theta_cos.clone());
-                .atan2(self[(0, 0)].clone() / yaw.clone().cos());
+            let yaw =
-            (roll, yaw, pitch)
+                (self[(1, 0)].clone() / theta_cos.clone()).atan2(self[(0, 0)].clone() / theta_cos);
+            (roll, pitch, yaw)
         } else if self[(2, 0)].clone() <= -T::one() {
             (
                 self[(0, 1)].clone().atan2(self[(0, 2)].clone()),

src/geometry/scale.rs

@@ -17,11 +17,18 @@ use crate::geometry::Point;
 
 /// A scale which supports non-uniform scaling.
 #[repr(C)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Scale<T::Archived, D>",
+        bound(archive = "
+        T: rkyv::Archive,
+        SVector<T, D>: rkyv::Archive<Archived = SVector<T::Archived, D>>
+    ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 #[derive(Copy, Clone)]
 pub struct Scale<T, const D: usize> {

src/geometry/scale_conversion.rs

@@ -102,7 +102,7 @@ where
     fn from_superset_unchecked(
         m: &OMatrix<T2, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>,
     ) -> Self {
-        let v = m.fixed_slice::<D, D>(0, 0).diagonal();
+        let v = m.fixed_view::<D, D>(0, 0).diagonal();
         Self {
             vector: crate::convert_unchecked(v),
         }

src/geometry/similarity.rs

@@ -34,11 +34,19 @@ use crate::geometry::{AbstractRotation, Isometry, Point, Translation};
                        DefaultAllocator: Allocator<T, Const<D>>,
                        Owned<T, Const<D>>: Deserialize<'de>"))
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Similarity<T::Archived, R::Archived, D>",
+        bound(archive = "
+        T: rkyv::Archive,
+        R: rkyv::Archive,
+        Isometry<T, R, D>: rkyv::Archive<Archived = Isometry<T::Archived, R::Archived, D>>
+    ")
+    )
 )]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 pub struct Similarity<T, R, const D: usize> {
     /// The part of this similarity that does not include the scaling factor.
     pub isometry: Isometry<T, R, D>,
@@ -301,7 +309,7 @@ impl<T: SimdRealField, R, const D: usize> Similarity<T, R, D> {
     {
         let mut res = self.isometry.to_homogeneous();
 
-        for e in res.fixed_slice_mut::<D, D>(0, 0).iter_mut() {
+        for e in res.fixed_view_mut::<D, D>(0, 0).iter_mut() {
             *e *= self.scaling.clone()
         }
 

src/geometry/similarity_conversion.rs

@@ -106,7 +106,7 @@ where
 
     #[inline]
     fn is_in_subset(m: &OMatrix<T2, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>) -> bool {
-        let mut rot = m.fixed_slice::<D, D>(0, 0).clone_owned();
+        let mut rot = m.fixed_view::<D, D>(0, 0).clone_owned();
         if rot
             .fixed_columns_mut::<1>(0)
             .try_normalize_mut(T2::zero())
@@ -128,7 +128,7 @@ where
                 rot.fixed_columns_mut::<1>(2).neg_mut();
             }
 
-            let bottom = m.fixed_slice::<1, D>(D, 0);
+            let bottom = m.fixed_view::<1, D>(D, 0);
             // Scalar types agree.
             m.iter().all(|e| SupersetOf::<T1>::is_in_subset(e)) &&
             // The normalized block part is a rotation.
@@ -145,22 +145,22 @@ where
         m: &OMatrix<T2, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>,
     ) -> Self {
         let mut mm = m.clone_owned();
-        let na = mm.fixed_slice_mut::<D, 1>(0, 0).normalize_mut();
+        let na = mm.fixed_view_mut::<D, 1>(0, 0).normalize_mut();
-        let nb = mm.fixed_slice_mut::<D, 1>(0, 1).normalize_mut();
+        let nb = mm.fixed_view_mut::<D, 1>(0, 1).normalize_mut();
-        let nc = mm.fixed_slice_mut::<D, 1>(0, 2).normalize_mut();
+        let nc = mm.fixed_view_mut::<D, 1>(0, 2).normalize_mut();
 
         let mut scale = (na + nb + nc) / crate::convert(3.0); // We take the mean, for robustness.
 
         // TODO: could we avoid the explicit computation of the determinant?
         // (its sign is needed to see if the scaling factor is negative).
-        if mm.fixed_slice::<D, D>(0, 0).determinant() < T2::zero() {
+        if mm.fixed_view::<D, D>(0, 0).determinant() < T2::zero() {
-            mm.fixed_slice_mut::<D, 1>(0, 0).neg_mut();
+            mm.fixed_view_mut::<D, 1>(0, 0).neg_mut();
-            mm.fixed_slice_mut::<D, 1>(0, 1).neg_mut();
+            mm.fixed_view_mut::<D, 1>(0, 1).neg_mut();
-            mm.fixed_slice_mut::<D, 1>(0, 2).neg_mut();
+            mm.fixed_view_mut::<D, 1>(0, 2).neg_mut();
             scale = -scale;
         }
 
-        let t = m.fixed_slice::<D, 1>(0, D).into_owned();
+        let t = m.fixed_view::<D, 1>(0, D).into_owned();
         let t = Translation {
             vector: crate::convert_unchecked(t),
         };

src/geometry/transform_ops.rs

@@ -120,10 +120,10 @@ md_impl_all!(
     [ref val] =>  self * &rhs;
     [val ref] => &self *  rhs;
     [ref ref] => {
-        let transform = self.matrix().fixed_slice::<D, D>(0, 0);
+        let transform = self.matrix().fixed_view::<D, D>(0, 0);
 
         if C::has_normalizer() {
-            let normalizer = self.matrix().fixed_slice::<1, D>(D, 0);
+            let normalizer = self.matrix().fixed_view::<1, D>(D, 0);
             let n = normalizer.tr_dot(rhs);
 
             if !n.is_zero() {
@@ -148,11 +148,11 @@ md_impl_all!(
     [ref val] =>  self * &rhs;
     [val ref] => &self *  rhs;
     [ref ref] => {
-        let transform   = self.matrix().fixed_slice::<D, D>(0, 0);
+        let transform   = self.matrix().fixed_view::<D, D>(0, 0);
-        let translation = self.matrix().fixed_slice::<D, 1>(0, D);
+        let translation = self.matrix().fixed_view::<D, 1>(0, D);
 
         if C::has_normalizer() {
-            let normalizer = self.matrix().fixed_slice::<1, D>(D, 0);
+            let normalizer = self.matrix().fixed_view::<1, D>(D, 0);
             #[allow(clippy::suspicious_arithmetic_impl)]
             let n = normalizer.tr_dot(&rhs.coords) + unsafe { self.matrix().get_unchecked((D, D)).clone() };
 

src/geometry/translation.rs

@@ -17,11 +17,18 @@ use crate::geometry::Point;
 
 /// A translation.
 #[repr(C)]
-#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(
     feature = "rkyv-serialize-no-std",
-    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize)
+    derive(rkyv::Archive, rkyv::Serialize, rkyv::Deserialize),
+    archive(
+        as = "Translation<T::Archived, D>",
+        bound(archive = "
+        T: rkyv::Archive,
+        SVector<T, D>: rkyv::Archive<Archived = SVector<T::Archived, D>>
+    ")
+    )
 )]
+#[cfg_attr(feature = "rkyv-serialize", derive(bytecheck::CheckBytes))]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 #[derive(Copy, Clone)]
 pub struct Translation<T, const D: usize> {
@@ -147,7 +154,7 @@ impl<T: Scalar, const D: usize> Translation<T, D> {
         DefaultAllocator: Allocator<T, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>,
     {
         let mut res = OMatrix::<T, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>::identity();
-        res.fixed_slice_mut::<D, 1>(0, D).copy_from(&self.vector);
+        res.fixed_view_mut::<D, 1>(0, D).copy_from(&self.vector);
 
         res
     }

src/geometry/translation_conversion.rs

@@ -159,7 +159,7 @@ where
 
     #[inline]
     fn is_in_subset(m: &OMatrix<T2, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>) -> bool {
-        let id = m.generic_slice((0, 0), (DimNameSum::<Const<D>, U1>::name(), Const::<D>));
+        let id = m.generic_view((0, 0), (DimNameSum::<Const<D>, U1>::name(), Const::<D>));
 
         // Scalar types agree.
         m.iter().all(|e| SupersetOf::<T1>::is_in_subset(e)) &&
@@ -173,7 +173,7 @@ where
     fn from_superset_unchecked(
         m: &OMatrix<T2, DimNameSum<Const<D>, U1>, DimNameSum<Const<D>, U1>>,
     ) -> Self {
-        let t = m.fixed_slice::<D, 1>(0, D);
+        let t = m.fixed_view::<D, 1>(0, D);
         Self {
             vector: crate::convert_unchecked(t.into_owned()),
         }

src/geometry/unit_complex.rs

@@ -132,7 +132,7 @@ where
         Vector1::new(self.angle())
     }
 
-    /// The rotation axis and angle in ]0, pi] of this complex number.
+    /// The rotation axis and angle in (0, pi] of this complex number.
     ///
     /// This is generally used in the context of generic programming. Using
     /// the `.angle()` method instead is more common.

src/lib.rs

@@ -83,20 +83,31 @@ an optimized set of tools for computer graphics and physics. Those features incl
     unused_variables,
     unused_mut,
     unused_parens,
-    unused_qualifications,
     rust_2018_idioms,
     rust_2018_compatibility,
     future_incompatible,
     missing_copy_implementations
 )]
-#![cfg_attr(feature = "rkyv-serialize-no-std", warn(unused_results))] // TODO: deny this once bytecheck stops generating warnings.
+#![cfg_attr(not(feature = "rkyv-serialize-no-std"), deny(unused_results))] // TODO: deny this globally once bytecheck stops generating unused results.
-#![cfg_attr(not(feature = "rkyv-serialize-no-std"), deny(unused_results))]
 #![doc(
     html_favicon_url = "https://nalgebra.org/img/favicon.ico",
     html_root_url = "https://docs.rs/nalgebra/0.25.0"
 )]
 #![cfg_attr(not(feature = "std"), no_std)]
 
+/// Generates an appropriate deprecation note with a suggestion for replacement.
+///
+/// Used for deprecating slice types in various locations throughout the library.
+/// See #1076 for more information.
+macro_rules! slice_deprecation_note {
+    ($replacement:ident) => {
+        concat!("Use ", stringify!($replacement),
+            r###" instead. See [issue #1076](https://github.com/dimforge/nalgebra/issues/1076) for more information."###)
+    }
+}
+
+pub(crate) use slice_deprecation_note;
+
 #[cfg(feature = "rand-no-std")]
 extern crate rand_package as rand;
 

src/linalg/bidiagonal.rs

@@ -202,7 +202,7 @@ where
         );
 
         let start = self.axis_shift();
-        res.slice_mut(start, (d.value() - 1, d.value() - 1))
+        res.view_mut(start, (d.value() - 1, d.value() - 1))
             .set_partial_diagonal(
                 self.off_diagonal
                     .iter()
@@ -226,11 +226,11 @@ where
         let shift = self.axis_shift().0;
 
         for i in (0..dim - shift).rev() {
-            let axis = self.uv.slice_range(i + shift.., i);
+            let axis = self.uv.view_range(i + shift.., i);
             // TODO: sometimes, the axis might have a zero magnitude.
             let refl = Reflection::new(Unit::new_unchecked(axis), T::zero());
 
-            let mut res_rows = res.slice_range_mut(i + shift.., i..);
+            let mut res_rows = res.view_range_mut(i + shift.., i..);
 
             let sign = if self.upper_diagonal {
                 self.diagonal[i].clone().signum()
@@ -260,13 +260,13 @@ where
         let shift = self.axis_shift().1;
 
         for i in (0..min_nrows_ncols.value() - shift).rev() {
-            let axis = self.uv.slice_range(i, i + shift..);
+            let axis = self.uv.view_range(i, i + shift..);
             let mut axis_packed = axis_packed.rows_range_mut(i + shift..);
             axis_packed.tr_copy_from(&axis);
             // TODO: sometimes, the axis might have a zero magnitude.
             let refl = Reflection::new(Unit::new_unchecked(axis_packed), T::zero());
 
-            let mut res_rows = res.slice_range_mut(i.., i + shift..);
+            let mut res_rows = res.view_range_mut(i.., i + shift..);
 
             let sign = if self.upper_diagonal {
                 self.off_diagonal[i].clone().signum()
@@ -304,7 +304,7 @@ where
     }
 }
 
-// impl<T: ComplexField, D: DimMin<D, Output = D> + DimSub<Dynamic>> Bidiagonal<T, D, D>
+// impl<T: ComplexField, D: DimMin<D, Output = D> + DimSub<Dyn>> Bidiagonal<T, D, D>
 //     where DefaultAllocator: Allocator<T, D, D> +
 //                             Allocator<T, D> {
 //     /// Solves the linear system `self * x = b`, where `x` is the unknown to be determined.
@@ -346,7 +346,7 @@ where
 //                     *b.vget_unchecked_mut(i) = coeff;
 //                 }
 //
-//                 b.rows_range_mut(.. i).axpy(-coeff, &self.uv.slice_range(.. i, i), T::one());
+//                 b.rows_range_mut(.. i).axpy(-coeff, &self.uv.view_range(.. i, i), T::one());
 //             }
 //         }
 //     }

src/linalg/cholesky.rs

@@ -1,7 +1,7 @@
 #[cfg(feature = "serde-serialize-no-std")]
 use serde::{Deserialize, Serialize};
 
-use num::One;
+use num::{One, Zero};
 use simba::scalar::ComplexField;
 use simba::simd::SimdComplexField;
 
@@ -67,7 +67,7 @@ where
                 *matrix.get_unchecked_mut((j, j)) = denom.clone();
             }
 
-            let mut col = matrix.slice_range_mut(j + 1.., j);
+            let mut col = matrix.view_range_mut(j + 1.., j);
             col /= denom;
         }
 
@@ -161,6 +161,27 @@ where
         }
         prod_diag.simd_modulus_squared()
     }
+
+    /// Computes the natural logarithm of determinant of the decomposed matrix.
+    ///
+    /// This method is more robust than `.determinant()` to very small or very
+    /// large determinants since it returns the natural logarithm of the
+    /// determinant rather than the determinant itself.
+    #[must_use]
+    pub fn ln_determinant(&self) -> T::SimdRealField {
+        let dim = self.chol.nrows();
+        let mut sum_diag = T::SimdRealField::zero();
+        for i in 0..dim {
+            sum_diag += unsafe {
+                self.chol
+                    .get_unchecked((i, i))
+                    .clone()
+                    .simd_modulus_squared()
+                    .simd_ln()
+            };
+        }
+        sum_diag
+    }
 }
 
 impl<T: ComplexField, D: Dim> Cholesky<T, D>
@@ -228,7 +249,7 @@ where
                     *matrix.get_unchecked_mut((j, j)) = denom.clone();
                 }
 
-                let mut col = matrix.slice_range_mut(j + 1.., j);
+                let mut col = matrix.view_range_mut(j + 1.., j);
                 col /= denom;
                 continue;
             }
@@ -283,17 +304,17 @@ where
             self.chol.shape_generic().0.add(Const::<1>),
             self.chol.shape_generic().1.add(Const::<1>),
         );
-        chol.slice_range_mut(..j, ..j)
+        chol.view_range_mut(..j, ..j)
-            .copy_from(&self.chol.slice_range(..j, ..j));
+            .copy_from(&self.chol.view_range(..j, ..j));
-        chol.slice_range_mut(..j, j + 1..)
+        chol.view_range_mut(..j, j + 1..)
-            .copy_from(&self.chol.slice_range(..j, j..));
+            .copy_from(&self.chol.view_range(..j, j..));
-        chol.slice_range_mut(j + 1.., ..j)
+        chol.view_range_mut(j + 1.., ..j)
-            .copy_from(&self.chol.slice_range(j.., ..j));
+            .copy_from(&self.chol.view_range(j.., ..j));
-        chol.slice_range_mut(j + 1.., j + 1..)
+        chol.view_range_mut(j + 1.., j + 1..)
-            .copy_from(&self.chol.slice_range(j.., j..));
+            .copy_from(&self.chol.view_range(j.., j..));
 
         // update the jth row
-        let top_left_corner = self.chol.slice_range(..j, ..j);
+        let top_left_corner = self.chol.view_range(..j, ..j);
 
         let col_j = col[j].clone();
         let (mut new_rowj_adjoint, mut new_colj) = col.rows_range_pair_mut(..j, j + 1..);
@@ -302,14 +323,14 @@ where
             "Cholesky::insert_column : Unable to solve lower triangular system!"
         );
 
-        new_rowj_adjoint.adjoint_to(&mut chol.slice_range_mut(j, ..j));
+        new_rowj_adjoint.adjoint_to(&mut chol.view_range_mut(j, ..j));
 
         // update the center element
         let center_element = T::sqrt(col_j - T::from_real(new_rowj_adjoint.norm_squared()));
         chol[(j, j)] = center_element.clone();
 
         // update the jth column
-        let bottom_left_corner = self.chol.slice_range(j.., ..j);
+        let bottom_left_corner = self.chol.view_range(j.., ..j);
         // new_colj = (col_jplus - bottom_left_corner * new_rowj.adjoint()) / center_element;
         new_colj.gemm(
             -T::one() / center_element.clone(),
@@ -317,10 +338,10 @@ where
             &new_rowj_adjoint,
             T::one() / center_element,
         );
-        chol.slice_range_mut(j + 1.., j).copy_from(&new_colj);
+        chol.view_range_mut(j + 1.., j).copy_from(&new_colj);
 
         // update the bottom right corner
-        let mut bottom_right_corner = chol.slice_range_mut(j + 1.., j + 1..);
+        let mut bottom_right_corner = chol.view_range_mut(j + 1.., j + 1..);
         Self::xx_rank_one_update(
             &mut bottom_right_corner,
             &mut new_colj,
@@ -348,17 +369,17 @@ where
             self.chol.shape_generic().0.sub(Const::<1>),
             self.chol.shape_generic().1.sub(Const::<1>),
         );
-        chol.slice_range_mut(..j, ..j)
+        chol.view_range_mut(..j, ..j)
-            .copy_from(&self.chol.slice_range(..j, ..j));
+            .copy_from(&self.chol.view_range(..j, ..j));
-        chol.slice_range_mut(..j, j..)
+        chol.view_range_mut(..j, j..)
-            .copy_from(&self.chol.slice_range(..j, j + 1..));
+            .copy_from(&self.chol.view_range(..j, j + 1..));
-        chol.slice_range_mut(j.., ..j)
+        chol.view_range_mut(j.., ..j)
-            .copy_from(&self.chol.slice_range(j + 1.., ..j));
+            .copy_from(&self.chol.view_range(j + 1.., ..j));
-        chol.slice_range_mut(j.., j..)
+        chol.view_range_mut(j.., j..)
-            .copy_from(&self.chol.slice_range(j + 1.., j + 1..));
+            .copy_from(&self.chol.view_range(j + 1.., j + 1..));
 
         // updates the bottom right corner
-        let mut bottom_right_corner = chol.slice_range_mut(j.., j..);
+        let mut bottom_right_corner = chol.view_range_mut(j.., j..);
         let mut workspace = self.chol.column(j).clone_owned();
         let mut old_colj = workspace.rows_range_mut(j + 1..);
         Self::xx_rank_one_update(&mut bottom_right_corner, &mut old_colj, T::RealField::one());
@@ -370,7 +391,7 @@ where
     /// performs a rank one update such that we end up with the decomposition of `M + sigma * (x * x.adjoint())`.
     ///
     /// This helper method is called by `rank_one_update` but also `insert_column` and `remove_column`
-    /// where it is used on a square slice of the decomposition
+    /// where it is used on a square view of the decomposition
     fn xx_rank_one_update<Dm, Sm, Rx, Sx>(
         chol: &mut Matrix<T, Dm, Dm, Sm>,
         x: &mut Vector<T, Rx, Sx>,
@@ -404,7 +425,7 @@ where
             beta += sigma_xj2 / diag2;
             // updates the terms of L
             let mut xjplus = x.rows_range_mut(j + 1..);
-            let mut col_j = chol.slice_range_mut(j + 1.., j);
+            let mut col_j = chol.view_range_mut(j + 1.., j);
             // temp_jplus -= (wj / T::from_real(diag)) * col_j;
             xjplus.axpy(-xj.clone() / T::from_real(diag.clone()), &col_j, T::one());
             if gamma != crate::zero::<T::RealField>() {

src/linalg/col_piv_qr.rs

@@ -78,7 +78,7 @@ where
         let mut diag = Matrix::uninit(min_nrows_ncols, Const::<1>);
 
         for i in 0..min_nrows_ncols.value() {
-            let piv = matrix.slice_range(i.., i..).icamax_full();
+            let piv = matrix.view_range(i.., i..).icamax_full();
             let col_piv = piv.1 + i;
             matrix.swap_columns(i, col_piv);
             p.append_permutation(i, col_piv);
@@ -144,11 +144,11 @@ where
         let dim = self.diag.len();
 
         for i in (0..dim).rev() {
-            let axis = self.col_piv_qr.slice_range(i.., i);
+            let axis = self.col_piv_qr.view_range(i.., i);
             // TODO: sometimes, the axis might have a zero magnitude.
             let refl = Reflection::new(Unit::new_unchecked(axis), T::zero());
 
-            let mut res_rows = res.slice_range_mut(i.., i..);
+            let mut res_rows = res.view_range_mut(i.., i..);
             refl.reflect_with_sign(&mut res_rows, self.diag[i].clone().signum());
         }
 
@@ -191,7 +191,7 @@ where
         let dim = self.diag.len();
 
         for i in 0..dim {
-            let axis = self.col_piv_qr.slice_range(i.., i);
+            let axis = self.col_piv_qr.view_range(i.., i);
             let refl = Reflection::new(Unit::new_unchecked(axis), T::zero());
 
             let mut rhs_rows = rhs.rows_range_mut(i..);
@@ -281,7 +281,7 @@ where
                 }
 
                 b.rows_range_mut(..i)
-                    .axpy(-coeff, &self.col_piv_qr.slice_range(..i, i), T::one());
+                    .axpy(-coeff, &self.col_piv_qr.view_range(..i, i), T::one());
             }
         }
 

src/linalg/eigen.rs

@@ -8,7 +8,7 @@ use std::fmt::Display;
 use std::ops::MulAssign;
 
 use crate::allocator::Allocator;
-use crate::base::dimension::{Dim, DimDiff, DimSub, Dynamic, U1, U2, U3};
+use crate::base::dimension::{Dim, DimDiff, DimSub, Dyn, U1, U2, U3};
 use crate::base::storage::Storage;
 use crate::base::{
     DefaultAllocator, Hessenberg, OMatrix, OVector, SquareMatrix, Unit, Vector2, Vector3,
@@ -52,8 +52,8 @@ where
 
 impl<T: ComplexField, D: Dim> Eigen<T, D>
 where
-    D: DimSub<U1>,                                   // For Hessenberg.
+    D: DimSub<U1>,                               // For Hessenberg.
-    ShapeConstraint: DimEq<Dynamic, DimDiff<D, U1>>, // For Hessenberg.
+    ShapeConstraint: DimEq<Dyn, DimDiff<D, U1>>, // For Hessenberg.
     DefaultAllocator: Allocator<T, D, DimDiff<D, U1>>
         + Allocator<T, DimDiff<D, U1>>
         + Allocator<T, D, D>

src/linalg/full_piv_lu.rs

@@ -64,7 +64,7 @@ where
         }
 
         for i in 0..min_nrows_ncols.value() {
-            let piv = matrix.slice_range(i.., i..).icamax_full();
+            let piv = matrix.view_range(i.., i..).icamax_full();
             let row_piv = piv.0 + i;
             let col_piv = piv.1 + i;
             let diag = matrix[(row_piv, col_piv)].clone();

src/linalg/hessenberg.rs

@@ -113,7 +113,7 @@ where
         let dim = self.hess.nrows();
         self.hess.fill_lower_triangle(T::zero(), 2);
         self.hess
-            .slice_mut((1, 0), (dim - 1, dim - 1))
+            .view_mut((1, 0), (dim - 1, dim - 1))
             .set_partial_diagonal(
                 self.subdiag
                     .iter()
@@ -132,7 +132,7 @@ where
         let dim = self.hess.nrows();
         let mut res = self.hess.clone();
         res.fill_lower_triangle(T::zero(), 2);
-        res.slice_mut((1, 0), (dim - 1, dim - 1))
+        res.view_mut((1, 0), (dim - 1, dim - 1))
             .set_partial_diagonal(
                 self.subdiag
                     .iter()

src/linalg/householder.rs

@@ -128,10 +128,10 @@ where
     let mut res = OMatrix::identity_generic(dim, dim);
 
     for i in (0..dim.value() - 1).rev() {
-        let axis = m.slice_range(i + 1.., i);
+        let axis = m.view_range(i + 1.., i);
         let refl = Reflection::new(Unit::new_unchecked(axis), T::zero());
 
-        let mut res_rows = res.slice_range_mut(i + 1.., i..);
+        let mut res_rows = res.view_range_mut(i + 1.., i..);
         refl.reflect_with_sign(&mut res_rows, signs[i].clone().signum());
     }
 

src/linalg/inverse.rs

@@ -8,7 +8,11 @@ use crate::base::{DefaultAllocator, OMatrix, SquareMatrix};
 use crate::linalg::lu;
 
 impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
-    /// Attempts to invert this matrix.
+    /// Attempts to invert this square matrix.
+    ///
+    /// # Panics
+    ///
+    /// Panics if `self` isn’t a square matrix.
     #[inline]
     #[must_use = "Did you mean to use try_inverse_mut()?"]
     pub fn try_inverse(self) -> Option<OMatrix<T, D, D>>
@@ -25,8 +29,12 @@ impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
 }
 
 impl<T: ComplexField, D: Dim, S: StorageMut<T, D, D>> SquareMatrix<T, D, S> {
-    /// Attempts to invert this matrix in-place. Returns `false` and leaves `self` untouched if
+    /// Attempts to invert this square matrix in-place. Returns `false` and leaves `self` untouched if
     /// inversion fails.
+    ///
+    /// # Panics
+    ///
+    /// Panics if `self` isn’t a square matrix.
     #[inline]
     pub fn try_inverse_mut(&mut self) -> bool
     where

src/linalg/lu.rs

@@ -64,7 +64,7 @@ where
     out.fill_with_identity();
 
     for i in 0..dim {
-        let piv = matrix.slice_range(i.., i).icamax() + i;
+        let piv = matrix.view_range(i.., i).icamax() + i;
         let diag = matrix[(piv, i)].clone();
 
         if diag.is_zero() {
@@ -100,7 +100,7 @@ where
         }
 
         for i in 0..min_nrows_ncols.value() {
-            let piv = matrix.slice_range(i.., i).icamax() + i;
+            let piv = matrix.view_range(i.., i).icamax() + i;
             let diag = matrix[(piv, i)].clone();
 
             if diag.is_zero() {
@@ -338,7 +338,7 @@ where
     T: Scalar + Field,
     S: StorageMut<T, R, C>,
 {
-    let mut submat = matrix.slice_range_mut(i.., i..);
+    let mut submat = matrix.view_range_mut(i.., i..);
 
     let inv_diag = T::one() / diag;
 
@@ -368,7 +368,7 @@ pub fn gauss_step_swap<T, R: Dim, C: Dim, S>(
     S: StorageMut<T, R, C>,
 {
     let piv = piv - i;
-    let mut submat = matrix.slice_range_mut(i.., i..);
+    let mut submat = matrix.view_range_mut(i.., i..);
 
     let inv_diag = T::one() / diag;
 

src/linalg/permutation_sequence.rs

@@ -7,7 +7,7 @@ use simba::scalar::ClosedNeg;
 use crate::allocator::Allocator;
 use crate::base::{DefaultAllocator, Matrix, OVector, Scalar};
 #[cfg(any(feature = "std", feature = "alloc"))]
-use crate::dimension::Dynamic;
+use crate::dimension::Dyn;
 use crate::dimension::{Const, Dim, DimName};
 use crate::storage::StorageMut;
 
@@ -51,14 +51,14 @@ where
 }
 
 #[cfg(any(feature = "std", feature = "alloc"))]
-impl PermutationSequence<Dynamic>
+impl PermutationSequence<Dyn>
 where
-    DefaultAllocator: Allocator<(usize, usize), Dynamic>,
+    DefaultAllocator: Allocator<(usize, usize), Dyn>,
 {
     /// Creates a new dynamically-allocated sequence of `n` identity permutations.
     #[inline]
     pub fn identity(n: usize) -> Self {
-        Self::identity_generic(Dynamic::new(n))
+        Self::identity_generic(Dyn(n))
     }
 }
 

src/linalg/qr.rs

@@ -116,11 +116,11 @@ where
         let dim = self.diag.len();
 
         for i in (0..dim).rev() {
-            let axis = self.qr.slice_range(i.., i);
+            let axis = self.qr.view_range(i.., i);
             // TODO: sometimes, the axis might have a zero magnitude.
             let refl = Reflection::new(Unit::new_unchecked(axis), T::zero());
 
-            let mut res_rows = res.slice_range_mut(i.., i..);
+            let mut res_rows = res.view_range_mut(i.., i..);
             refl.reflect_with_sign(&mut res_rows, self.diag[i].clone().signum());
         }
 
@@ -161,7 +161,7 @@ where
         let dim = self.diag.len();
 
         for i in 0..dim {
-            let axis = self.qr.slice_range(i.., i);
+            let axis = self.qr.view_range(i.., i);
             let refl = Reflection::new(Unit::new_unchecked(axis), T::zero());
 
             let mut rhs_rows = rhs.rows_range_mut(i..);
@@ -247,7 +247,7 @@ where
                 }
 
                 b.rows_range_mut(..i)
-                    .axpy(-coeff, &self.qr.slice_range(..i, i), T::one());
+                    .axpy(-coeff, &self.qr.view_range(..i, i), T::one());
             }
         }
 

src/linalg/schur.rs

@@ -8,7 +8,7 @@ use simba::scalar::{ComplexField, RealField};
 use std::cmp;
 
 use crate::allocator::Allocator;
-use crate::base::dimension::{Const, Dim, DimDiff, DimSub, Dynamic, U1, U2};
+use crate::base::dimension::{Const, Dim, DimDiff, DimSub, Dyn, U1, U2};
 use crate::base::storage::Storage;
 use crate::base::{DefaultAllocator, OMatrix, OVector, SquareMatrix, Unit, Vector2, Vector3};
 
@@ -174,19 +174,18 @@ where
                         {
                             let krows = cmp::min(k + 4, end + 1);
                             let mut work = work.rows_mut(0, krows);
-                            refl.reflect(&mut t.generic_slice_mut(
+                            refl.reflect(
-                                (k, k),
+                                &mut t.generic_view_mut((k, k), (Const::<3>, Dyn(dim.value() - k))),
-                                (Const::<3>, Dynamic::new(dim.value() - k)),
+                            );
-                            ));
                             refl.reflect_rows(
-                                &mut t.generic_slice_mut((0, k), (Dynamic::new(krows), Const::<3>)),
+                                &mut t.generic_view_mut((0, k), (Dyn(krows), Const::<3>)),
                                 &mut work,
                             );
                         }
 
                         if let Some(ref mut q) = q {
                             refl.reflect_rows(
-                                &mut q.generic_slice_mut((0, k), (dim, Const::<3>)),
+                                &mut q.generic_view_mut((0, k), (dim, Const::<3>)),
                                 work,
                             );
                         }
@@ -211,38 +210,36 @@ where
 
                     {
                         let mut work = work.rows_mut(0, end + 1);
-                        refl.reflect(&mut t.generic_slice_mut(
+                        refl.reflect(
-                            (m, m),
+                            &mut t.generic_view_mut((m, m), (Const::<2>, Dyn(dim.value() - m))),
-                            (Const::<2>, Dynamic::new(dim.value() - m)),
+                        );
-                        ));
                         refl.reflect_rows(
-                            &mut t.generic_slice_mut((0, m), (Dynamic::new(end + 1), Const::<2>)),
+                            &mut t.generic_view_mut((0, m), (Dyn(end + 1), Const::<2>)),
                             &mut work,
                         );
                     }
 
                     if let Some(ref mut q) = q {
-                        refl.reflect_rows(
+                        refl.reflect_rows(&mut q.generic_view_mut((0, m), (dim, Const::<2>)), work);
-                            &mut q.generic_slice_mut((0, m), (dim, Const::<2>)),
-                            work,
-                        );
                     }
                 }
             } else {
                 // Decouple the 2x2 block if it has real eigenvalues.
-                if let Some(rot) = compute_2x2_basis(&t.fixed_slice::<2, 2>(start, start)) {
+                if let Some(rot) = compute_2x2_basis(&t.fixed_view::<2, 2>(start, start)) {
                     let inv_rot = rot.inverse();
-                    inv_rot.rotate(&mut t.generic_slice_mut(
+                    inv_rot.rotate(
-                        (start, start),
+                        &mut t.generic_view_mut(
-                        (Const::<2>, Dynamic::new(dim.value() - start)),
+                            (start, start),
-                    ));
+                            (Const::<2>, Dyn(dim.value() - start)),
+                        ),
+                    );
                     rot.rotate_rows(
-                        &mut t.generic_slice_mut((0, start), (Dynamic::new(end + 1), Const::<2>)),
+                        &mut t.generic_view_mut((0, start), (Dyn(end + 1), Const::<2>)),
                     );
                     t[(end, start)] = T::zero();
 
                     if let Some(ref mut q) = q {
-                        rot.rotate_rows(&mut q.generic_slice_mut((0, start), (dim, Const::<2>)));
+                        rot.rotate_rows(&mut q.generic_view_mut((0, start), (dim, Const::<2>)));
                     }
                 }
 
@@ -427,9 +424,9 @@ where
 {
     let dim = m.shape_generic().0;
     let mut q = None;
-    match compute_2x2_basis(&m.fixed_slice::<2, 2>(0, 0)) {
+    match compute_2x2_basis(&m.fixed_view::<2, 2>(0, 0)) {
         Some(rot) => {
-            let mut m = m.fixed_slice_mut::<2, 2>(0, 0);
+            let mut m = m.fixed_view_mut::<2, 2>(0, 0);
             let inv_rot = rot.inverse();
             inv_rot.rotate(&mut m);
             rot.rotate_rows(&mut m);
@@ -530,7 +527,7 @@ where
         if self.nrows() == 2 {
             // TODO: can we avoid this slicing
             // (which is needed here just to transform D to U2)?
-            let me = self.fixed_slice::<2, 2>(0, 0);
+            let me = self.fixed_view::<2, 2>(0, 0);
             return match compute_2x2_eigvals(&me) {
                 Some((a, b)) => {
                     work[0] = a;

src/linalg/solve.rs

@@ -5,7 +5,7 @@ use crate::base::allocator::Allocator;
 use crate::base::constraint::{SameNumberOfRows, ShapeConstraint};
 use crate::base::dimension::{Dim, U1};
 use crate::base::storage::{Storage, StorageMut};
-use crate::base::{DVectorSlice, DefaultAllocator, Matrix, OMatrix, SquareMatrix, Vector};
+use crate::base::{DVectorView, DefaultAllocator, Matrix, OMatrix, SquareMatrix, Vector};
 
 impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
     /// Computes the solution of the linear system `self . x = b` where `x` is the unknown and only
@@ -93,7 +93,7 @@ impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
             }
 
             b.rows_range_mut(i + 1..)
-                .axpy(-coeff, &self.slice_range(i + 1.., i), T::one());
+                .axpy(-coeff, &self.view_range(i + 1.., i), T::one());
         }
 
         true
@@ -125,7 +125,7 @@ impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
             for i in 0..dim - 1 {
                 let coeff = unsafe { bcol.vget_unchecked(i).clone() } / diag.clone();
                 bcol.rows_range_mut(i + 1..)
-                    .axpy(-coeff, &self.slice_range(i + 1.., i), T::one());
+                    .axpy(-coeff, &self.view_range(i + 1.., i), T::one());
             }
         }
 
@@ -175,7 +175,7 @@ impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
             }
 
             b.rows_range_mut(..i)
-                .axpy(-coeff, &self.slice_range(..i, i), T::one());
+                .axpy(-coeff, &self.view_range(..i, i), T::one());
         }
 
         true
@@ -376,8 +376,8 @@ impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
         b: &mut Vector<T, R2, S2>,
         conjugate: impl Fn(T) -> T,
         dot: impl Fn(
-            &DVectorSlice<'_, T, S::RStride, S::CStride>,
+            &DVectorView<'_, T, S::RStride, S::CStride>,
-            &DVectorSlice<'_, T, S2::RStride, S2::CStride>,
+            &DVectorView<'_, T, S2::RStride, S2::CStride>,
         ) -> T,
     ) -> bool
     where
@@ -387,7 +387,7 @@ impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
         let dim = self.nrows();
 
         for i in (0..dim).rev() {
-            let dot = dot(&self.slice_range(i + 1.., i), &b.slice_range(i + 1.., 0));
+            let dot = dot(&self.view_range(i + 1.., i), &b.view_range(i + 1.., 0));
 
             unsafe {
                 let b_i = b.vget_unchecked_mut(i);
@@ -411,8 +411,8 @@ impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
         b: &mut Vector<T, R2, S2>,
         conjugate: impl Fn(T) -> T,
         dot: impl Fn(
-            &DVectorSlice<'_, T, S::RStride, S::CStride>,
+            &DVectorView<'_, T, S::RStride, S::CStride>,
-            &DVectorSlice<'_, T, S2::RStride, S2::CStride>,
+            &DVectorView<'_, T, S2::RStride, S2::CStride>,
         ) -> T,
     ) -> bool
     where
@@ -422,7 +422,7 @@ impl<T: ComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
         let dim = self.nrows();
 
         for i in 0..dim {
-            let dot = dot(&self.slice_range(..i, i), &b.slice_range(..i, 0));
+            let dot = dot(&self.view_range(..i, i), &b.view_range(..i, 0));
 
             unsafe {
                 let b_i = b.vget_unchecked_mut(i);
@@ -514,7 +514,7 @@ impl<T: SimdComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
             }
 
             b.rows_range_mut(i + 1..)
-                .axpy(-coeff.clone(), &self.slice_range(i + 1.., i), T::one());
+                .axpy(-coeff.clone(), &self.view_range(i + 1.., i), T::one());
         }
     }
 
@@ -539,7 +539,7 @@ impl<T: SimdComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
             for i in 0..dim - 1 {
                 let coeff = unsafe { bcol.vget_unchecked(i).clone() } / diag.clone();
                 bcol.rows_range_mut(i + 1..)
-                    .axpy(-coeff, &self.slice_range(i + 1.., i), T::one());
+                    .axpy(-coeff, &self.view_range(i + 1.., i), T::one());
             }
         }
     }
@@ -575,7 +575,7 @@ impl<T: SimdComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
             }
 
             b.rows_range_mut(..i)
-                .axpy(-coeff, &self.slice_range(..i, i), T::one());
+                .axpy(-coeff, &self.view_range(..i, i), T::one());
         }
     }
 
@@ -734,8 +734,8 @@ impl<T: SimdComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
         b: &mut Vector<T, R2, S2>,
         conjugate: impl Fn(T) -> T,
         dot: impl Fn(
-            &DVectorSlice<'_, T, S::RStride, S::CStride>,
+            &DVectorView<'_, T, S::RStride, S::CStride>,
-            &DVectorSlice<'_, T, S2::RStride, S2::CStride>,
+            &DVectorView<'_, T, S2::RStride, S2::CStride>,
         ) -> T,
     ) where
         S2: StorageMut<T, R2, U1>,
@@ -744,7 +744,7 @@ impl<T: SimdComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
         let dim = self.nrows();
 
         for i in (0..dim).rev() {
-            let dot = dot(&self.slice_range(i + 1.., i), &b.slice_range(i + 1.., 0));
+            let dot = dot(&self.view_range(i + 1.., i), &b.view_range(i + 1.., 0));
 
             unsafe {
                 let b_i = b.vget_unchecked_mut(i);
@@ -760,15 +760,15 @@ impl<T: SimdComplexField, D: Dim, S: Storage<T, D, D>> SquareMatrix<T, D, S> {
         b: &mut Vector<T, R2, S2>,
         conjugate: impl Fn(T) -> T,
         dot: impl Fn(
-            &DVectorSlice<'_, T, S::RStride, S::CStride>,
+            &DVectorView<'_, T, S::RStride, S::CStride>,
-            &DVectorSlice<'_, T, S2::RStride, S2::CStride>,
+            &DVectorView<'_, T, S2::RStride, S2::CStride>,
         ) -> T,
     ) where
         S2: StorageMut<T, R2, U1>,
         ShapeConstraint: SameNumberOfRows<R2, D>,
     {
         for i in 0..self.nrows() {
-            let dot = dot(&self.slice_range(..i, i), &b.slice_range(..i, 0));
+            let dot = dot(&self.view_range(..i, i), &b.view_range(..i, 0));
 
             unsafe {
                 let b_i = b.vget_unchecked_mut(i);

src/proptest/mod.rs

@@ -53,11 +53,11 @@
 //! with [matrix](fn.matrix.html) as follows:
 //!
 //! ```
-//! use nalgebra::{Dynamic, OMatrix, Const};
+//! use nalgebra::{Dyn, OMatrix, Const};
 //! use nalgebra::proptest::matrix;
 //! use proptest::prelude::*;
 //!
-//! type MyMatrix = OMatrix<i32, Const::<3>, Dynamic>;
+//! type MyMatrix = OMatrix<i32, Const::<3>, Dyn>;
 //!
 //! /// Returns a strategy for pairs of matrices with `U3` rows and the same number of
 //! /// columns.
@@ -93,7 +93,7 @@
 //! If you don't care about the dimensions of matrices, you can write tests like these:
 //!
 //! ```
-//! use nalgebra::{DMatrix, DVector, Dynamic, Matrix3, OMatrix, Vector3, U3};
+//! use nalgebra::{DMatrix, DVector, Dyn, Matrix3, OMatrix, Vector3, U3};
 //! use proptest::prelude::*;
 //!
 //! proptest! {
@@ -108,7 +108,7 @@
 //!     # /*
 //!     #[test]
 //!     # */
-//!     fn test_static_and_mixed(matrix: Matrix3<i32>, matrix2: OMatrix<i32, U3, Dynamic>) {
+//!     fn test_static_and_mixed(matrix: Matrix3<i32>, matrix2: OMatrix<i32, U3, Dyn>) {
 //!         // Test some property involving these matrices
 //!     }
 //!
@@ -141,7 +141,7 @@
 //! PROPTEST_MAX_SHRINK_ITERS=100000 cargo test my_failing_test
 //! ```
 use crate::allocator::Allocator;
-use crate::{Const, DefaultAllocator, Dim, DimName, Dynamic, OMatrix, Scalar, U1};
+use crate::{Const, DefaultAllocator, Dim, DimName, Dyn, OMatrix, Scalar, U1};
 use proptest::arbitrary::Arbitrary;
 use proptest::collection::vec;
 use proptest::strategy::{BoxedStrategy, Just, NewTree, Strategy, ValueTree};
@@ -167,9 +167,9 @@ pub struct MatrixParameters<NParameters, R, C> {
 /// of matrices with `proptest`. In most cases, you do not need to concern yourself with
 /// `DimRange` directly, as it supports conversion from other types such as `U3` or inclusive
 /// ranges such as `5 ..= 6`. The latter example corresponds to dimensions from (inclusive)
-/// `Dynamic::new(5)` to `Dynamic::new(6)` (inclusive).
+/// `Dyn(5)` to `Dyn(6)` (inclusive).
 #[derive(Debug, Clone, PartialEq, Eq)]
-pub struct DimRange<D = Dynamic>(RangeInclusive<D>);
+pub struct DimRange<D = Dyn>(RangeInclusive<D>);
 
 impl<D: Dim> DimRange<D> {
     /// The lower bound for dimensions generated.
@@ -195,9 +195,9 @@ impl<D: Dim> From<RangeInclusive<D>> for DimRange<D> {
     }
 }
 
-impl From<RangeInclusive<usize>> for DimRange<Dynamic> {
+impl From<RangeInclusive<usize>> for DimRange<Dyn> {
     fn from(range: RangeInclusive<usize>) -> Self {
-        DimRange::from(Dynamic::new(*range.start())..=Dynamic::new(*range.end()))
+        DimRange::from(Dyn(*range.start())..=Dyn(*range.end()))
     }
 }
 
@@ -208,14 +208,14 @@ impl<D: Dim> DimRange<D> {
     }
 }
 
-impl From<usize> for DimRange<Dynamic> {
+impl From<usize> for DimRange<Dyn> {
     fn from(dim: usize) -> Self {
-        DimRange::from(Dynamic::new(dim))
+        DimRange::from(Dyn(dim))
     }
 }
 
-/// The default range used for Dynamic dimensions when generating arbitrary matrices.
+/// The default range used for Dyn dimensions when generating arbitrary matrices.
-fn dynamic_dim_range() -> DimRange<Dynamic> {
+fn dynamic_dim_range() -> DimRange<Dyn> {
     DimRange::from(0..=6)
 }
 
@@ -225,7 +225,7 @@ fn dynamic_dim_range() -> DimRange<Dynamic> {
 /// ## Examples
 /// ```
 /// use nalgebra::proptest::matrix;
-/// use nalgebra::{OMatrix, Const, Dynamic};
+/// use nalgebra::{OMatrix, Const, Dyn};
 /// use proptest::prelude::*;
 ///
 /// proptest! {
@@ -234,7 +234,7 @@ fn dynamic_dim_range() -> DimRange<Dynamic> {
 ///     # */
 ///     fn my_test(a in matrix(0 .. 5i32, Const::<3>, 0 ..= 5)) {
 ///         // Let's make sure we've got the correct type first
-///         let a: OMatrix<_, Const::<3>, Dynamic> = a;
+///         let a: OMatrix<_, Const::<3>, Dyn> = a;
 ///         prop_assert!(a.nrows() == 3);
 ///         prop_assert!(a.ncols() <= 5);
 ///         prop_assert!(a.iter().all(|x_ij| *x_ij >= 0 && *x_ij < 5));
@@ -347,7 +347,7 @@ where
     }
 }
 
-impl<NParameters, R> Default for MatrixParameters<NParameters, R, Dynamic>
+impl<NParameters, R> Default for MatrixParameters<NParameters, R, Dyn>
 where
     NParameters: Default,
     R: DimName,
@@ -361,7 +361,7 @@ where
     }
 }
 
-impl<NParameters, C> Default for MatrixParameters<NParameters, Dynamic, C>
+impl<NParameters, C> Default for MatrixParameters<NParameters, Dyn, C>
 where
     NParameters: Default,
     C: DimName,
@@ -375,7 +375,7 @@ where
     }
 }
 
-impl<NParameters> Default for MatrixParameters<NParameters, Dynamic, Dynamic>
+impl<NParameters> Default for MatrixParameters<NParameters, Dyn, Dyn>
 where
     NParameters: Default,
 {

src/sparse/cs_matrix.rs

@@ -7,7 +7,7 @@ use std::slice;
 
 use crate::allocator::Allocator;
 use crate::sparse::cs_utils;
-use crate::{Const, DefaultAllocator, Dim, Dynamic, Matrix, OVector, Scalar, Vector, U1};
+use crate::{Const, DefaultAllocator, Dim, Dyn, Matrix, OVector, Scalar, Vector, U1};
 
 pub struct ColumnEntries<'a, T> {
     curr: usize,
@@ -236,16 +236,16 @@ impl<T: Scalar, R: Dim, C: Dim> CsStorageMut<T, R, C> for CsVecStorage<T, R, C>
 pub struct CsSliceStorage<'a, T: Scalar, R: Dim, C: DimAdd<U1>> {
     shape: (R, C),
     p: VectorSlice<usize, DimSum<C, U1>>,
-    i: VectorSlice<usize, Dynamic>,
+    i: VectorSlice<usize, Dyn>,
-    vals: VectorSlice<T, Dynamic>,
+    vals: VectorSlice<T, Dyn>,
 }*/
 
 /// A compressed sparse column matrix.
 #[derive(Clone, Debug, PartialEq)]
 pub struct CsMatrix<
     T: Scalar,
-    R: Dim = Dynamic,
+    R: Dim = Dyn,
-    C: Dim = Dynamic,
+    C: Dim = Dyn,
     S: CsStorage<T, R, C> = CsVecStorage<T, R, C>,
 > {
     pub(crate) data: S,
@@ -253,7 +253,7 @@ pub struct CsMatrix<
 }
 
 /// A column compressed sparse vector.
-pub type CsVector<T, R = Dynamic, S = CsVecStorage<T, R, U1>> = CsMatrix<T, R, U1, S>;
+pub type CsVector<T, R = Dyn, S = CsVecStorage<T, R, U1>> = CsMatrix<T, R, U1, S>;
 
 impl<T: Scalar, R: Dim, C: Dim> CsMatrix<T, R, C>
 where
@@ -342,8 +342,8 @@ impl<T: Scalar + Zero + ClosedAdd> CsMatrix<T> {
         vals: Vec<T>,
     ) -> Self
     {
-        let nrows = Dynamic::new(nrows);
+        let nrows = Dyn(nrows);
-        let ncols = Dynamic::new(ncols);
+        let ncols = Dyn(ncols);
         let p = DVector::from_data(VecStorage::new(ncols, U1, p));
         Self::from_parts_generic(nrows, ncols, p, i, vals)
     }

src/sparse/cs_matrix_conversion.rs

@@ -5,7 +5,7 @@ use crate::allocator::Allocator;
 use crate::sparse::cs_utils;
 use crate::sparse::{CsMatrix, CsStorage};
 use crate::storage::Storage;
-use crate::{DefaultAllocator, Dim, Dynamic, Matrix, OMatrix, Scalar};
+use crate::{DefaultAllocator, Dim, Dyn, Matrix, OMatrix, Scalar};
 
 impl<'a, T: Scalar + Zero + ClosedAdd> CsMatrix<T> {
     /// Creates a column-compressed sparse matrix from a sparse matrix in triplet form.
@@ -16,7 +16,7 @@ impl<'a, T: Scalar + Zero + ClosedAdd> CsMatrix<T> {
         icols: &[usize],
         vals: &[T],
     ) -> Self {
-        Self::from_triplet_generic(Dynamic::new(nrows), Dynamic::new(ncols), irows, icols, vals)
+        Self::from_triplet_generic(Dyn(nrows), Dyn(ncols), irows, icols, vals)
     }
 }
 

src/third_party/glam/mod.rs

@@ -14,3 +14,5 @@ mod v019;
 mod v020;
 #[cfg(feature = "glam021")]
 mod v021;
+#[cfg(feature = "glam022")]
+mod v022;