Merge branch 'dev' into dev-zyanshep

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

@@ -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;
   test-nalgebra-glm:
     runs-on: ubuntu-latest
     steps:
@@ -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 +4,46 @@ documented here.
 
 This project adheres to [Semantic Versioning](https://semver.org/).
 
+
+## [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
+- Use `#[inline]` on the `Dim` implementation for `Const` to improve opt-level 1 performance.
+- Make the `Point::new` constructions const-fn.
+
+### Added
+- Add `UnitVector::cast` to change the underlying scalar type.
+
+
+## [0.31.1] (31 July 2022)
+
+### Modified
+- Improve performances of multiplication of two sparse matrices.
+
+### Added
+- Add `Matrix::from_row_iterator` to build a matrix from an iterator yielding components in row-major order.
+- Add support for conversion from/to types of `glam` 0.21.
+- `nalgebra-sparse`: add support for the matrix-market export of sparse matrices.
+- `nalgebra-lapack`: add a `GE` for solving the generalized eigenvalues problem.
+
+### Fixed
+- Fix `Rotation3::from_matrix` and `UnitQuaternion::from_matrix` when the input matrix is already a valid
+  rotation matrix.
+
 ## [0.31.0] (30 Apr. 2022)
 
 ### Breaking changes

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name    = "nalgebra"
-version = "0.31.0"
+version = "0.31.4"
 authors = [ "Sébastien Crozet <developer@crozet.re>" ]
 
 description = "General-purpose linear algebra library with transformations and statically-sized or dynamically-sized matrices."
@@ -44,6 +44,8 @@ convert-glam017 = [ "glam017" ]
 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
@@ -65,6 +67,7 @@ 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 }
@@ -96,6 +99,8 @@ glam017        = { package = "glam", version = "0.17", optional = true }
 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 }
 
 
@@ -131,8 +136,8 @@ required-features = ["rand"]
 lto = true
 
 [package.metadata.docs.rs]
-# Enable certain features when building docs for docs.rs
-features = [ "proptest-support", "compare", "macros", "rand" ]
+# Enable all the features when building the docs on docs.rs
+all-features = true
 
 [patch.crates-io]
 num-complex = { git = "https://github.com/zyansheep/num-complex" }

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
         })
     });

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 = "0.23.0"
 authors = [ "Sébastien Crozet <developer@crozet.re>", "Andrew Straw <strawman@astraw.com>" ]
 
 description   = "Matrix decompositions using nalgebra matrices and Lapack bindings."
@@ -44,3 +44,4 @@ 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.
-    pub eigenvalues: OVector<T, D>,
+    /// The real parts of eigenvalues of the decomposed matrix.
+    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 rjob = if eigenvectors { b'V' } else { b'T' };
+        let ljob = if left_eigenvectors { b'V' } else { b'N' };
+        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) {
-            (true, true) => {
-                // TODO: avoid the initializations?
-                let mut vl = Matrix::zeros_generic(nrows, ncols);
-                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 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];
+        let vl_ref = vl
+            .as_mut()
+            .map(|m| m.as_mut_slice())
+            .unwrap_or(&mut placeholder1);
+        let vr_ref = vr
+            .as_mut()
+            .map(|m| m.as_mut_slice())
+            .unwrap_or(&mut placeholder2);
 
         T::xgeev(
-            b'T',
-            b'T',
+            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,
+            vl_ref,
+            if left_eigenvectors { n as i32 } else { 1 },
+            vr_ref,
+            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() {
-            res[i] = Complex::new(wr[i].clone(), wi[i].clone());
-        }
-
-        res
+    /// Returns `true` if all the eigenvalues are real.
+    pub fn eigenvalues_are_real(&self) -> bool {
+        self.eigenvalues_im.iter().all(|e| e.is_zero())
     }
 
     /// The determinant of the decomposed matrix.
     #[inline]
     #[must_use]
-    pub fn determinant(&self) -> T {
-        let mut det = T::one();
-        for e in self.eigenvalues.iter() {
-            det *= e.clone();
+    pub fn determinant(&self) -> Complex<T> {
+        let mut det: Complex<T> = na::one();
+        for (re, im) in self.eigenvalues_re.iter().zip(self.eigenvalues_im.iter()) {
+            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 * sol2, b2, 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-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 * sol2, b2, epsilon = 1.0e-7));
-        prop_assert!(relative_eq!(m.transpose() * tr_sol1, b1, epsilon = 1.0e-7));
-        prop_assert!(relative_eq!(m.transpose() * tr_sol2, b2, 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-5));
+        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-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 * sol2, b2, epsilon = 1.0e-7));
-        prop_assert!(relative_eq!(m.transpose() * tr_sol1, b1, epsilon = 1.0e-7));
-        prop_assert!(relative_eq!(m.transpose() * tr_sol2, b2, 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-5));
+        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-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);
-            let transformed_eigvectors = &m * eig.eigenvectors.as_ref().unwrap();
-            let scaled_eigvectors      = eig.eigenvectors.as_ref().unwrap() * &eigvals;
+            // TODO: test the complex case too.
+            if eig.eigenvalues_are_real() {
+                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 scaled_left_eigvectors      = eig.left_eigenvectors.as_ref().unwrap() * &eigvals;
+                let transformed_left_eigvectors = m.transpose() * eig.left_eigenvectors.as_ref().unwrap();
+                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_left_eigvectors, scaled_left_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-5));
+            }
         }
     }
 
     #[test]
     fn eigensystem_static(m in matrix4()) {
         if let Some(eig) = Eigen::new(m, true, true) {
-            let eigvals                = Matrix4::from_diagonal(&eig.eigenvalues);
-            let transformed_eigvectors = m * eig.eigenvectors.unwrap();
-            let scaled_eigvectors      = eig.eigenvectors.unwrap() * eigvals;
+            // TODO: test the complex case too.
+            if eig.eigenvalues_are_real() {
+                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 scaled_left_eigvectors      = eig.left_eigenvectors.unwrap() * eigvals;
+                let transformed_left_eigvectors = m.transpose() * eig.left_eigenvectors.unwrap();
+                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_left_eigvectors, scaled_left_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-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();
-
-        prop_assert!(relative_eq!(&vecs * vals * vecs.transpose(), m, epsilon = 1.0e-7))
+        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-5))
+        }
     }
 
     #[test]
     fn schur_static(m in matrix4()) {
-        let (vecs, vals) = Schur::new(m.clone()).unpack();
-        prop_assert!(relative_eq!(vecs * vals * vecs.transpose(), m, epsilon = 1.0e-7))
+        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-5))
+        }
     }
 }

nalgebra-sparse/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "nalgebra-sparse"
-version = "0.7.0"
+version = "0.8.0"
 authors = [ "Andreas Longva", "Sébastien Crozet <developer@crozet.re>" ]
 edition = "2018"
 description = "Sparse matrix computation based on nalgebra."

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
@@ -211,6 +221,13 @@ impl<T> CooMatrix<T> {
         self.values.push(v);
     }
 
+    /// Clear all triplets from the matrix.
+    pub fn clear_triplets(&mut self) {
+        self.col_indices.clear();
+        self.row_indices.clear();
+        self.values.clear();
+    }
+
     /// The number of rows in the matrix.
     #[inline]
     #[must_use]

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/lib.rs

@@ -143,8 +143,6 @@
 )]
 
 pub extern crate nalgebra as na;
-#[cfg(feature = "io")]
-extern crate pest;
 #[macro_use]
 #[cfg(feature = "io")]
 extern crate pest_derive;

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() {
     {
@@ -226,6 +260,29 @@ fn coo_push_valid_entries() {
     );
 }
 
+#[test]
+fn coo_clear_triplets_valid_entries() {
+    let mut coo = CooMatrix::new(3, 3);
+
+    coo.push(0, 0, 1);
+    coo.push(0, 0, 2);
+    coo.push(2, 2, 3);
+    assert_eq!(
+        coo.triplet_iter().collect::<Vec<_>>(),
+        vec![(0, 0, &1), (0, 0, &2), (2, 2, &3)]
+    );
+    coo.clear_triplets();
+    assert_eq!(coo.triplet_iter().collect::<Vec<_>>(), vec![]);
+    // making sure everyhting works after clearing
+    coo.push(0, 0, 1);
+    coo.push(0, 0, 2);
+    coo.push(2, 2, 3);
+    assert_eq!(
+        coo.triplet_iter().collect::<Vec<_>>(),
+        vec![(0, 0, &1), (0, 0, &2), (2, 2, &3)]
+    );
+}
+
 #[test]
 fn coo_push_out_of_bounds_entries() {
     {
@@ -291,8 +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);
-        coo.push_matrix(1, 0, &sliced);
+        let view = source.fixed_view::<2, 1>(0, 0);
+        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>>>,
-    b: Op<impl Into<DMatrixSlice<'a, i32>>>,
+    a: Op<impl Into<DMatrixView<'a, i32>>>,
+    b: Op<impl Into<DMatrixView<'a, i32>>>,
 ) {
     let mut c = c.into();
     let a = a.convert();

src/base/alias_slice.rs

@@ -1,6 +1,7 @@
 use crate::base::dimension::{Dynamic, 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.**
+#[deprecated = slice_deprecation_note!(DMatrixView)]
 pub type DMatrixSlice<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, Dynamic, SliceStorage<'a, T, Dynamic, Dynamic, RStride, CStride>>;
+    Matrix<T, Dynamic, Dynamic, ViewStorage<'a, T, Dynamic, Dynamic, 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, Dynamic, ViewStorage<'a, T, U1, Dynamic, 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, Dynamic, ViewStorage<'a, T, U2, Dynamic, 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, Dynamic, ViewStorage<'a, T, U3, Dynamic, 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, Dynamic, ViewStorage<'a, T, U4, Dynamic, 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, Dynamic, ViewStorage<'a, T, U5, Dynamic, 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, Dynamic, ViewStorage<'a, T, U6, Dynamic, RStride, CStride>>;
 
 /// A column-major matrix slice with a number of rows chosen at runtime and 1 column.
+#[deprecated = slice_deprecation_note!(MatrixViewXx1)]
 pub type MatrixSliceXx1<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U1, SliceStorage<'a, T, Dynamic, U1, RStride, CStride>>;
+    Matrix<T, Dynamic, U1, ViewStorage<'a, T, Dynamic, U1, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 2 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewXx2)]
 pub type MatrixSliceXx2<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U2, SliceStorage<'a, T, Dynamic, U2, RStride, CStride>>;
+    Matrix<T, Dynamic, U2, ViewStorage<'a, T, Dynamic, U2, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 3 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewXx3)]
 pub type MatrixSliceXx3<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U3, SliceStorage<'a, T, Dynamic, U3, RStride, CStride>>;
+    Matrix<T, Dynamic, U3, ViewStorage<'a, T, Dynamic, U3, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 4 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewXx4)]
 pub type MatrixSliceXx4<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U4, SliceStorage<'a, T, Dynamic, U4, RStride, CStride>>;
+    Matrix<T, Dynamic, U4, ViewStorage<'a, T, Dynamic, U4, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 5 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewXx5)]
 pub type MatrixSliceXx5<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U5, SliceStorage<'a, T, Dynamic, U5, RStride, CStride>>;
+    Matrix<T, Dynamic, U5, ViewStorage<'a, T, Dynamic, U5, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 6 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewXx6)]
 pub type MatrixSliceXx6<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U6, SliceStorage<'a, T, Dynamic, U6, RStride, CStride>>;
+    Matrix<T, Dynamic, U6, ViewStorage<'a, T, Dynamic, 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.
+#[deprecated = slice_deprecation_note!(DVectorView)]
 pub type DVectorSlice<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U1, SliceStorage<'a, T, Dynamic, U1, RStride, CStride>>;
+    Matrix<T, Dynamic, U1, ViewStorage<'a, T, Dynamic, 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.**
+#[deprecated = slice_deprecation_note!(DMatrixViewMut)]
 pub type DMatrixSliceMut<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, Dynamic, SliceStorageMut<'a, T, Dynamic, Dynamic, RStride, CStride>>;
+    Matrix<T, Dynamic, Dynamic, ViewStorageMut<'a, T, Dynamic, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U1, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U2, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U3, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U4, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U5, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U6, Dynamic, RStride, CStride>>;
 
 /// A column-major matrix slice with a number of rows chosen at runtime and 1 column.
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx1)]
 pub type MatrixSliceMutXx1<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U1, SliceStorageMut<'a, T, Dynamic, U1, RStride, CStride>>;
+    Matrix<T, Dynamic, U1, ViewStorageMut<'a, T, Dynamic, U1, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 2 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx2)]
 pub type MatrixSliceMutXx2<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U2, SliceStorageMut<'a, T, Dynamic, U2, RStride, CStride>>;
+    Matrix<T, Dynamic, U2, ViewStorageMut<'a, T, Dynamic, U2, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 3 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx3)]
 pub type MatrixSliceMutXx3<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U3, SliceStorageMut<'a, T, Dynamic, U3, RStride, CStride>>;
+    Matrix<T, Dynamic, U3, ViewStorageMut<'a, T, Dynamic, U3, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 4 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx4)]
 pub type MatrixSliceMutXx4<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U4, SliceStorageMut<'a, T, Dynamic, U4, RStride, CStride>>;
+    Matrix<T, Dynamic, U4, ViewStorageMut<'a, T, Dynamic, U4, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 5 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx5)]
 pub type MatrixSliceMutXx5<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U5, SliceStorageMut<'a, T, Dynamic, U5, RStride, CStride>>;
+    Matrix<T, Dynamic, U5, ViewStorageMut<'a, T, Dynamic, U5, RStride, CStride>>;
 /// A column-major matrix slice with a number of rows chosen at runtime and 6 columns.
+#[deprecated = slice_deprecation_note!(MatrixViewMutXx6)]
 pub type MatrixSliceMutXx6<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U6, SliceStorageMut<'a, T, Dynamic, U6, RStride, CStride>>;
+    Matrix<T, Dynamic, U6, ViewStorageMut<'a, T, Dynamic, 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.**
+#[deprecated = slice_deprecation_note!(DVectorViewMut)]
 pub type DVectorSliceMut<'a, T, RStride = U1, CStride = Dynamic> =
-    Matrix<T, Dynamic, U1, SliceStorageMut<'a, T, Dynamic, U1, RStride, CStride>>;
+    Matrix<T, Dynamic, U1, ViewStorageMut<'a, T, Dynamic, 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::{Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, Dynamic, ViewStorage<'a, T, Dynamic, Dynamic, 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, Dynamic, ViewStorage<'a, T, U1, Dynamic, 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, Dynamic, ViewStorage<'a, T, U2, Dynamic, 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, Dynamic, ViewStorage<'a, T, U3, Dynamic, 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, Dynamic, ViewStorage<'a, T, U4, Dynamic, 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, Dynamic, ViewStorage<'a, T, U5, Dynamic, 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, Dynamic, ViewStorage<'a, T, U6, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U1, ViewStorage<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U2, ViewStorage<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U3, ViewStorage<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U4, ViewStorage<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U5, ViewStorage<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U6, ViewStorage<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U1, ViewStorage<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, Dynamic, ViewStorageMut<'a, T, Dynamic, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U1, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U2, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U3, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U4, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U5, Dynamic, 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, Dynamic, ViewStorageMut<'a, T, U6, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U1, ViewStorageMut<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U2, ViewStorageMut<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U3, ViewStorageMut<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U4, ViewStorageMut<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U5, ViewStorageMut<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U6, ViewStorageMut<'a, T, Dynamic, 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 = Dynamic> =
+    Matrix<T, Dynamic, U1, ViewStorageMut<'a, T, Dynamic, 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

@@ -41,6 +41,41 @@ pub trait Allocator<T, R: Dim, C: Dim = U1>: Any + Sized {
         ncols: C,
         iter: I,
     ) -> Self::Buffer;
+
+    #[inline]
+    /// Allocates a buffer initialized with the content of the given row-major order iterator.
+    fn allocate_from_row_iterator<I: IntoIterator<Item = T>>(
+        nrows: R,
+        ncols: C,
+        iter: I,
+    ) -> Self::Buffer {
+        let mut res = Self::allocate_uninit(nrows, ncols);
+        let mut count = 0;
+
+        unsafe {
+            // OK because the allocated buffer is guaranteed to be contiguous.
+            let res_ptr = res.as_mut_slice_unchecked();
+
+            for (k, e) in iter
+                .into_iter()
+                .take(ncols.value() * nrows.value())
+                .enumerate()
+            {
+                let i = k / ncols.value();
+                let j = k % ncols.value();
+                // result[(i, j)] = e;
+                *res_ptr.get_unchecked_mut(i + j * nrows.value()) = MaybeUninit::new(e);
+                count += 1;
+            }
+
+            assert!(
+                count == nrows.value() * ncols.value(),
+                "Matrix init. from row iterator: iterator not long enough."
+            );
+
+            <Self as Allocator<T, R, C>>::assume_init(res)
+        }
+    }
 }
 
 /// A matrix reallocator. Changes the size of the memory buffer that initially contains (`RFrom` ×

src/base/array_storage.rs

@@ -27,7 +27,6 @@ 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),
@@ -39,6 +38,10 @@ use std::mem;
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(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

@@ -11,7 +11,7 @@ use crate::base::dimension::{Const, Dim, Dynamic, 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>,
-            &DVectorSlice<'_, T, SC::RStride, SC::CStride>,
+            &DVectorView<'_, T, SB::RStride, SB::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>,
@@ -892,7 +892,7 @@ where
             let val = unsafe { conjugate(y.vget_unchecked(j).clone()) };
             let subdim = Dynamic::new(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/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 translation = self.fixed_slice::<2, 1>(0, 2);
-        let normalizer = self.fixed_slice::<1, 2>(2, 0);
+        let transform = self.fixed_view::<2, 2>(0, 0);
+        let translation = self.fixed_view::<2, 1>(0, 2);
+        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 translation = self.fixed_slice::<3, 1>(0, 3);
-        let normalizer = self.fixed_slice::<1, 3>(3, 0);
+        let transform = self.fixed_view::<3, 3>(0, 0);
+        let translation = self.fixed_view::<3, 1>(0, 3);
+        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/construction.rs

@@ -86,6 +86,17 @@ where
         Self::from_data(DefaultAllocator::allocate_from_iterator(nrows, ncols, iter))
     }
 
+    /// Creates a matrix with all its elements filled by an row-major order iterator.
+    #[inline]
+    pub fn from_row_iterator_generic<I>(nrows: R, ncols: C, iter: I) -> Self
+    where
+        I: IntoIterator<Item = T>,
+    {
+        Self::from_data(DefaultAllocator::allocate_from_row_iterator(
+            nrows, ncols, iter,
+        ))
+    }
+
     /// Creates a matrix with its elements filled with the components provided by a slice in
     /// row-major order.
     ///
@@ -479,6 +490,36 @@ macro_rules! impl_constructors(
             Self::from_iterator_generic($($gargs, )* iter)
         }
 
+        /// Creates a matrix or vector with all its elements filled by a row-major iterator.
+        ///
+        /// The output matrix is filled row-by-row.
+        ///
+        /// ## Example
+        /// ```
+        /// # use nalgebra::{Matrix2x3, Vector3, DVector, DMatrix};
+        /// # use std::iter;
+        ///
+        /// let v = Vector3::from_row_iterator((0..3).into_iter());
+        /// // The additional argument represents the vector dimension.
+        /// let dv = DVector::from_row_iterator(3, (0..3).into_iter());
+        /// let m = Matrix2x3::from_row_iterator((0..6).into_iter());
+        /// // The two additional arguments represent the matrix dimensions.
+        /// let dm = DMatrix::from_row_iterator(2, 3, (0..6).into_iter());
+        ///
+        /// // For Vectors from_row_iterator is identical to from_iterator
+        /// assert!(v.x == 0 && v.y == 1 && v.z == 2);
+        /// assert!(dv[0] == 0 && dv[1] == 1 && dv[2] == 2);
+        /// assert!(m.m11 == 0 && m.m12 == 1 && m.m13 == 2 &&
+        ///         m.m21 == 3 && m.m22 == 4 && m.m23 == 5);
+        /// assert!(dm[(0, 0)] == 0 && dm[(0, 1)] == 1 && dm[(0, 2)] == 2 &&
+        ///         dm[(1, 0)] == 3 && dm[(1, 1)] == 4 && dm[(1, 2)] == 5);
+        /// ```
+        #[inline]
+        pub fn from_row_iterator<I>($($args: usize,)* iter: I) -> Self
+            where I: IntoIterator<Item = T> {
+            Self::from_row_iterator_generic($($gargs, )* iter)
+        }
+
         /// Creates a matrix or vector filled with the results of a function applied to each of its
         /// component coordinates.
         ///

src/base/construction_view.rs

@@ -1,14 +1,14 @@
 use crate::base::dimension::{Const, Dim, DimName, Dynamic};
-use crate::base::matrix_slice::{SliceStorage, SliceStorageMut};
-use crate::base::{MatrixSlice, MatrixSliceMutMN, Scalar};
+use crate::base::matrix_view::{ViewStorage, ViewStorageMut};
+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.
@@ -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),
@@ -30,7 +30,7 @@ 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()`.
@@ -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 {
@@ -57,8 +57,8 @@ 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> {
-    /// Creates, without bound-checking, a matrix slice from an array and with dimensions specified by generic types instances.
+impl<'a, T: Scalar, R: Dim, C: Dim> MatrixView<'a, T, R, C> {
+    /// 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.
@@ -75,7 +75,7 @@ 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()`.
@@ -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),*> {
-            /// Creates a new matrix slice from the given data array.
+        impl<'a, T: Scalar, $($DimIdent: $DimBound),*> MatrixView<'a, T, $($Dims),*> {
+            /// Creates a new matrix view from the given data array.
             ///
             /// Panics if `data` does not contain enough elements.
             #[inline]
@@ -96,15 +96,15 @@ 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> {
-            /// Creates a new matrix slice with the specified strides from the given data array.
+        impl<'a, T: Scalar, $($DimIdent: $DimBound, )*> MatrixView<'a, T, $($Dims,)* Dynamic, Dynamic> {
+            /// Creates a new matrix view with the specified strides from the given data array.
             ///
             /// Panics if `data` does not contain enough elements.
             #[inline]
@@ -112,7 +112,7 @@ macro_rules! impl_constructors(
                 Self::from_slice_with_strides_generic(data, $($gargs,)* Dynamic::new(rstride), Dynamic::new(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))
@@ -142,11 +142,11 @@ impl_constructors!(Dynamic, Dynamic;
                    Dynamic::new(nrows), Dynamic::new(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.
@@ -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),
@@ -168,7 +168,7 @@ 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()`.
@@ -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 {
@@ -217,8 +217,8 @@ 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> {
-    /// Creates, without bound-checking, a mutable matrix slice from an array and with dimensions specified by generic types instances.
+impl<'a, T: Scalar, R: Dim, C: Dim> MatrixViewMut<'a, T, R, C> {
+    /// 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.
@@ -235,7 +235,7 @@ 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()`.
@@ -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),*> {
-            /// Creates a new mutable matrix slice from the given data array.
+        impl<'a, T: Scalar, $($DimIdent: $DimBound),*> MatrixViewMut<'a, T, $($Dims),*> {
+            /// Creates a new mutable matrix view from the given data array.
             ///
             /// Panics if `data` does not contain enough elements.
             #[inline]
@@ -256,15 +256,15 @@ 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> {
-            /// Creates a new mutable matrix slice with the specified strides from the given data array.
+        impl<'a, T: Scalar, $($DimIdent: $DimBound, )*> MatrixViewMut<'a, T, $($Dims,)* Dynamic, Dynamic> {
+            /// Creates a new mutable matrix view with the specified strides from the given data array.
             ///
             /// Panics if `data` does not contain enough elements.
             #[inline]
@@ -273,7 +273,7 @@ macro_rules! impl_constructors_mut(
                     data, $($gargs,)* Dynamic::new(rstride), Dynamic::new(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(

src/base/conversion.rs

@@ -16,14 +16,14 @@ use crate::base::dimension::{
 use crate::base::iter::{MatrixIter, MatrixIterMut};
 use crate::base::storage::{IsContiguous, RawStorage, RawStorageMut};
 use crate::base::{
-    ArrayStorage, DVectorSlice, DVectorSliceMut, DefaultAllocator, Matrix, MatrixSlice,
-    MatrixSliceMut, OMatrix, Scalar,
+    ArrayStorage, DVectorView, DVectorViewMut, DefaultAllocator, Matrix, MatrixView, MatrixViewMut,
+    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()
     }
 }
@@ -289,20 +289,20 @@ 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 {
-        matrix_slice.into_owned()
+    fn from(matrix_view: MatrixView<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
+        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, Dynamic, C, RStride, CStride>>
     for Matrix<T, Dynamic, C, VecStorage<T, Dynamic, C>>
 where
     T: Scalar,
@@ -310,13 +310,13 @@ where
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSlice<'a, T, Dynamic, C, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+    fn from(matrix_view: MatrixView<'a, T, Dynamic, C, RStride, CStride>) -> Self {
+        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, Dynamic, RStride, CStride>>
     for Matrix<T, R, Dynamic, VecStorage<T, R, Dynamic>>
 where
     T: Scalar,
@@ -324,26 +324,26 @@ where
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSlice<'a, T, R, Dynamic, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+    fn from(matrix_view: MatrixView<'a, T, R, Dynamic, RStride, CStride>) -> Self {
+        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 {
-        matrix_slice.into_owned()
+    fn from(matrix_view: MatrixViewMut<'a, T, Const<R>, Const<C>, RStride, CStride>) -> Self {
+        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, Dynamic, C, RStride, CStride>>
     for Matrix<T, Dynamic, C, VecStorage<T, Dynamic, C>>
 where
     T: Scalar,
@@ -351,13 +351,13 @@ where
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSliceMut<'a, T, Dynamic, C, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+    fn from(matrix_view: MatrixViewMut<'a, T, Dynamic, C, RStride, CStride>) -> Self {
+        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, Dynamic, RStride, CStride>>
     for Matrix<T, R, Dynamic, VecStorage<T, R, Dynamic>>
 where
     T: Scalar,
@@ -365,116 +365,107 @@ where
     RStride: Dim,
     CStride: Dim,
 {
-    fn from(matrix_slice: MatrixSliceMut<'a, T, R, Dynamic, RStride, CStride>) -> Self {
-        matrix_slice.into_owned()
+    fn from(matrix_view: MatrixViewMut<'a, T, R, Dynamic, RStride, CStride>) -> Self {
+        matrix_view.into_owned()
     }
 }
 
-impl<'a, T, R, C, RSlice, CSlice, RStride, CStride, S> From<&'a Matrix<T, R, C, S>>
-    for MatrixSlice<'a, T, RSlice, CSlice, RStride, CStride>
+impl<'a, T, R, C, RView, CView, RStride, CStride, S> From<&'a Matrix<T, R, C, S>>
+    for MatrixView<'a, T, RView, CView, RStride, CStride>
 where
-    T: Scalar,
     R: Dim,
     C: Dim,
-    RSlice: Dim,
-    CSlice: Dim,
+    RView: Dim,
+    CView: Dim,
     RStride: Dim,
     CStride: Dim,
     S: RawStorage<T, R, C>,
-    ShapeConstraint: DimEq<R, RSlice>
-        + DimEq<C, CSlice>
-        + DimEq<RStride, S::RStride>
-        + DimEq<CStride, S::CStride>,
+    ShapeConstraint:
+        DimEq<R, RView> + DimEq<C, CView> + 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 col_slice = CSlice::from_usize(col.value());
+        let rows_result = RView::from_usize(row.value());
+        let cols_result = CView::from_usize(col.value());
 
         let (rstride, cstride) = m.strides();
 
-        let rstride_slice = RStride::from_usize(rstride);
-        let cstride_slice = CStride::from_usize(cstride);
+        let rstride_result = RStride::from_usize(rstride);
+        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),
-                (rstride_slice, cstride_slice),
+                (rows_result, cols_result),
+                (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>>
-    for MatrixSlice<'a, T, RSlice, CSlice, RStride, CStride>
+impl<'a, T, R, C, RView, CView, RStride, CStride, S> From<&'a mut Matrix<T, R, C, S>>
+    for MatrixView<'a, T, RView, CView, RStride, CStride>
 where
-    T: Scalar,
     R: Dim,
     C: Dim,
-    RSlice: Dim,
-    CSlice: Dim,
+    RView: Dim,
+    CView: Dim,
     RStride: Dim,
     CStride: Dim,
     S: RawStorage<T, R, C>,
-    ShapeConstraint: DimEq<R, RSlice>
-        + DimEq<C, CSlice>
-        + DimEq<RStride, S::RStride>
-        + DimEq<CStride, S::CStride>,
+    ShapeConstraint:
+        DimEq<R, RView> + DimEq<C, CView> + 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 col_slice = CSlice::from_usize(col.value());
+        let rows_result = RView::from_usize(row.value());
+        let cols_result = CView::from_usize(col.value());
 
         let (rstride, cstride) = m.strides();
 
-        let rstride_slice = RStride::from_usize(rstride);
-        let cstride_slice = CStride::from_usize(cstride);
+        let rstride_result = RStride::from_usize(rstride);
+        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),
-                (rstride_slice, cstride_slice),
+                (rows_result, cols_result),
+                (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>>
-    for MatrixSliceMut<'a, T, RSlice, CSlice, RStride, CStride>
+impl<'a, T, R, C, RView, CView, RStride, CStride, S> From<&'a mut Matrix<T, R, C, S>>
+    for MatrixViewMut<'a, T, RView, CView, RStride, CStride>
 where
-    T: Scalar,
     R: Dim,
     C: Dim,
-    RSlice: Dim,
-    CSlice: Dim,
+    RView: Dim,
+    CView: Dim,
     RStride: Dim,
     CStride: Dim,
     S: RawStorageMut<T, R, C>,
-    ShapeConstraint: DimEq<R, RSlice>
-        + DimEq<C, CSlice>
-        + DimEq<RStride, S::RStride>
-        + DimEq<CStride, S::CStride>,
+    ShapeConstraint:
+        DimEq<R, RView> + DimEq<C, CView> + 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 col_slice = CSlice::from_usize(col.value());
+        let rows_result = RView::from_usize(row.value());
+        let cols_result = CView::from_usize(col.value());
 
         let (rstride, cstride) = m.strides();
 
-        let rstride_slice = RStride::from_usize(rstride);
-        let cstride_slice = CStride::from_usize(cstride);
+        let rstride_result = RStride::from_usize(rstride);
+        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),
-                (rstride_slice, cstride_slice),
+                (rows_result, cols_result),
+                (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] {
-    fn from(vec: DVectorSlice<'a, T>) -> &'a [T] {
+impl<'a, T: Scalar> From<DVectorView<'a, T>> for &'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] {
-    fn from(vec: DVectorSliceMut<'a, T>) -> &'a mut [T] {
+impl<'a, T: Scalar> From<DVectorViewMut<'a, T>> for &'a mut [T] {
+    fn from(vec: DVectorViewMut<'a, T>) -> &'a mut [T] {
         vec.data.into_slice_mut()
     }
 }

src/base/default_allocator.rs

@@ -26,7 +26,7 @@ use std::mem::{ManuallyDrop, MaybeUninit};
  * Allocator.
  *
  */
-/// An allocator based on `GenericArray` and `VecStorage` for statically-sized and dynamically-sized
+/// An allocator based on [`ArrayStorage`] and [`VecStorage`] for statically-sized and dynamically-sized
 /// matrices respectively.
 #[derive(Copy, Clone, Debug)]
 pub struct DefaultAllocator;

src/base/dimension.rs

@@ -13,6 +13,14 @@ use serde::{Deserialize, Deserializer, Serialize, Serializer};
 
 /// Dim of dynamically-sized algebraic entities.
 #[derive(Clone, Copy, Eq, PartialEq, Debug)]
+#[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 {
     value: usize,
@@ -198,6 +206,14 @@ dim_ops!(
 );
 
 #[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)]
+#[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 Const<const R: usize>;
 
@@ -242,14 +258,17 @@ pub trait ToTypenum {
 }
 
 unsafe impl<const T: usize> Dim for Const<T> {
+    #[inline]
     fn try_to_usize() -> Option<usize> {
         Some(T)
     }
 
+    #[inline]
     fn value(&self) -> usize {
         T
     }
 
+    #[inline]
     fn from_usize(dim: usize) -> Self {
         assert_eq!(dim, T);
         Self

src/base/edition.rs

@@ -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()));
             }
 

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, Dynamic, Matrix, MatrixView, MatrixViewMut, Scalar, U1,
 };
 
 use std::ops;
@@ -378,7 +378,7 @@ 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 +669,7 @@ 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 +682,13 @@ 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 +705,18 @@ 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)));
 

src/base/iter.rs

@@ -6,7 +6,7 @@ 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 +193,7 @@ 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 +254,7 @@ 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> {
@@ -306,7 +306,7 @@ impl<'a, T, R: Dim, C: Dim, S: 'a + RawStorage<T, R, C>> ColumnIter<'a, T, R, C,
 }
 
 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> {
@@ -367,7 +367,7 @@ 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> {

src/base/matrix.rs

@@ -104,13 +104,13 @@ pub type MatrixCross<T, R1, C1, R2, C2> =
 /// - [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
-/// - [Creating matrix slices from `&[T]` <span style="float:right;">`from_slice`, `from_slice_with_strides`…</span>](#creating-matrix-slices-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)
-/// - [Slicing based on index and length <span style="float:right;">`row`, `columns`, `slice`…</span>](#slicing-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)
-/// - [Slicing based on ranges <span style="float:right;">`rows_range`, `columns_range`…</span>](#slicing-based-on-ranges)
-/// - [Mutable slicing based on ranges <span style="float:right;">`rows_range_mut`, `columns_range_mut`…</span>](#mutable-slicing-based-on-ranges)
+/// #### Vector and matrix views
+/// - [Creating matrix views from `&[T]` <span style="float:right;">`from_slice`, `from_slice_with_strides`…</span>](#creating-matrix-views-from-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)
+/// - [Views based on index and length <span style="float:right;">`row`, `columns`, `view`…</span>](#views-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)
+/// - [Views based on ranges <span style="float:right;">`rows_range`, `columns_range`…</span>](#views-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)
@@ -155,7 +155,6 @@ pub type MatrixCross<T, R1, C1, R2, C2> =
 /// 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(Archive, rkyv::Serialize, rkyv::Deserialize),
@@ -168,6 +167,10 @@ pub type MatrixCross<T, R1, C1, R2, C2> =
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(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?
@@ -457,7 +460,7 @@ 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));
     /// ```
@@ -750,6 +753,24 @@ 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:
@@ -1626,7 +1647,7 @@ 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
     }
@@ -1654,7 +1675,7 @@ 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
         }
@@ -1674,7 +1695,7 @@ 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);
 
@@ -2200,3 +2221,28 @@ where
         }
     }
 }
+
+impl<T, D, S> Unit<Vector<T, D, S>>
+where
+    T: Scalar,
+    D: Dim,
+    S: RawStorage<T, D, U1>,
+{
+    /// Cast the components of `self` to another type.
+    ///
+    /// # Example
+    /// ```
+    /// # use nalgebra::Vector3;
+    /// let v = Vector3::<f64>::y_axis();
+    /// let v2 = v.cast::<f32>();
+    /// assert_eq!(v2, Vector3::<f32>::y_axis());
+    /// ```
+    pub fn cast<T2: Scalar>(self) -> Unit<OVector<T2, D>>
+    where
+        T: Scalar,
+        OVector<T2, D>: SupersetOf<Vector<T, D, S>>,
+        DefaultAllocator: Allocator<T2, D, U1>,
+    {
+        Unit::new_unchecked(crate::convert_ref(self.as_ref()))
+    }
+}

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;
@@ -51,8 +52,9 @@ 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

@@ -14,7 +14,7 @@ use crate::base::constraint::{
 use crate::base::dimension::{Dim, DimMul, DimName, DimProd, Dynamic};
 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};
@@ -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>,
-            &VectorSlice<'_, T, R2, SB::RStride, SB::CStride>,
+            &VectorView<'_, T, R1, SA::RStride, SA::CStride>,
+            &VectorView<'_, T, R2, SB::RStride, SB::CStride>,
         ) -> T,
     ) where
         Status: InitStatus<T>,

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

@@ -21,7 +21,6 @@ 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),
@@ -32,6 +31,10 @@ use crate::{Dim, Matrix, OMatrix, RealField, Scalar, SimdComplexField, SimdRealF
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(derive(bytecheck::CheckBytes))
+)]
 // #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 pub struct Unit<T> {
     pub(crate) value: T,

src/geometry/dual_quaternion.rs

@@ -40,7 +40,6 @@ 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),
@@ -52,6 +51,10 @@ use simba::scalar::{ClosedNeg, RealField};
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(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).
@@ -433,7 +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 bottom = m.fixed_slice::<1, D>(D, 0);
+        let rot = m.fixed_view::<D, D>(0, 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

@@ -19,7 +19,6 @@ 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),
@@ -31,6 +30,10 @@ use crate::geometry::{Point3, Projective3};
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(derive(bytecheck::CheckBytes))
+)]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 #[derive(Copy, Clone)]
 pub struct Orthographic3<T> {

src/geometry/perspective.rs

@@ -20,7 +20,6 @@ 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),
@@ -32,6 +31,10 @@ use crate::geometry::{Point3, Projective3};
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(derive(bytecheck::CheckBytes))
+)]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 #[derive(Copy, Clone)]
 pub struct Perspective3<T> {

src/geometry/point.rs

@@ -213,7 +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
@@ -202,6 +202,24 @@ impl<T: Scalar> Point1<T> {
     /// assert_eq!(p.x, 1.0);
     /// ```
     #[inline]
+    #[cfg(not(feature = "cuda"))]
+    pub const fn new(x: T) -> Self {
+        Point {
+            coords: Vector1::new(x),
+        }
+    }
+
+    /// Initializes this point from its components.
+    ///
+    /// # Example
+    ///
+    /// ```
+    /// # use nalgebra::Point1;
+    /// let p = Point1::new(1.0);
+    /// assert_eq!(p.x, 1.0);
+    /// ```
+    #[inline]
+    #[cfg(feature = "cuda")]
     pub fn new(x: T) -> Self {
         Point {
             coords: Vector1::new(x),
@@ -216,6 +234,19 @@ macro_rules! componentwise_constructors_impl(
             #[doc = $doc]
             #[doc = "```"]
             #[inline]
+            #[cfg(not(feature = "cuda"))]
+            pub const fn new($($args: T),*) -> Self {
+                Point { coords: $Vector::new($($args),*) }
+            }
+
+            // TODO: always let new be const once CUDA updates its supported
+            //       nightly version to something more recent.
+            #[doc = "Initializes this point from its components."]
+            #[doc = "# Example\n```"]
+            #[doc = $doc]
+            #[doc = "```"]
+            #[inline]
+            #[cfg(feature = "cuda")]
             pub fn new($($args: T),*) -> Self {
                 Point { coords: $Vector::new($($args),*) }
             }

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};
@@ -23,7 +23,6 @@ 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),
@@ -35,6 +34,10 @@ use crate::geometry::{Point3, Rotation};
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(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.
@@ -195,7 +198,7 @@ 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)
     }
 
@@ -588,7 +591,7 @@ 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)
     }
 
@@ -1327,7 +1330,7 @@ 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

@@ -49,7 +49,6 @@ 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),
@@ -61,6 +60,10 @@ use crate::geometry::Point;
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(derive(bytecheck::CheckBytes))
+)]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 #[derive(Copy, Clone)]
 pub struct Rotation<T, const D: usize> {
@@ -265,7 +268,7 @@ 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 bottom = m.fixed_slice::<1, D>(D, 0);
+        let rot = m.fixed_view::<D, D>(0, 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

@@ -17,7 +17,9 @@ use std::ops::Neg;
 
 use crate::base::dimension::{U1, U2, U3};
 use crate::base::storage::Storage;
-use crate::base::{Matrix2, Matrix3, SMatrix, SVector, Unit, Vector, Vector1, Vector2, Vector3};
+use crate::base::{
+    Matrix2, Matrix3, SMatrix, SVector, Unit, UnitVector3, Vector, Vector1, Vector2, Vector3,
+};
 
 use crate::geometry::{Rotation2, Rotation3, UnitComplex, UnitQuaternion};
 
@@ -730,9 +732,12 @@ where
         T: RealField,
     {
         if max_iter == 0 {
-            max_iter = usize::max_value();
+            max_iter = usize::MAX;
         }
 
+        // Using sqrt(eps) ensures we perturb with something larger than eps; clamp to eps to handle the case of eps > 1.0
+        let eps_disturbance = eps.clone().sqrt().max(eps.clone() * eps.clone());
+        let mut perturbation_axes = Vector3::x_axis();
         let mut rot = guess.into_inner();
 
         for _ in 0..max_iter {
@@ -748,7 +753,33 @@ where
             if let Some((axis, angle)) = Unit::try_new_and_get(axisangle, eps.clone()) {
                 rot = Rotation3::from_axis_angle(&axis, angle) * rot;
             } else {
-                break;
+                // Check if stuck in a maximum w.r.t. the norm (m - rot).norm()
+                let mut perturbed = rot.clone();
+                let norm_squared = (m - &rot).norm_squared();
+                let mut new_norm_squared: T;
+
+                // Perturb until the new norm is significantly different
+                loop {
+                    perturbed *=
+                        Rotation3::from_axis_angle(&perturbation_axes, eps_disturbance.clone());
+                    new_norm_squared = (m - &perturbed).norm_squared();
+                    if abs_diff_ne!(
+                        norm_squared,
+                        new_norm_squared,
+                        epsilon = T::default_epsilon()
+                    ) {
+                        break;
+                    }
+                }
+
+                // If new norm is larger, it's a minimum
+                if norm_squared < new_norm_squared {
+                    break;
+                }
+
+                // If not, continue from perturbed rotation, but use a different axes for the next perturbation
+                perturbation_axes = UnitVector3::new_unchecked(perturbation_axes.yzx());
+                rot = perturbed;
             }
         }
 
@@ -846,7 +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.
     ///

src/geometry/scale.rs

@@ -17,7 +17,6 @@ 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),
@@ -29,6 +28,10 @@ use crate::geometry::Point;
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(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

@@ -309,7 +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 nb = mm.fixed_slice_mut::<D, 1>(0, 1).normalize_mut();
-        let nc = mm.fixed_slice_mut::<D, 1>(0, 2).normalize_mut();
+        let na = mm.fixed_view_mut::<D, 1>(0, 0).normalize_mut();
+        let nb = mm.fixed_view_mut::<D, 1>(0, 1).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() {
-            mm.fixed_slice_mut::<D, 1>(0, 0).neg_mut();
-            mm.fixed_slice_mut::<D, 1>(0, 1).neg_mut();
-            mm.fixed_slice_mut::<D, 1>(0, 2).neg_mut();
+        if mm.fixed_view::<D, D>(0, 0).determinant() < T2::zero() {
+            mm.fixed_view_mut::<D, 1>(0, 0).neg_mut();
+            mm.fixed_view_mut::<D, 1>(0, 1).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 translation = self.matrix().fixed_slice::<D, 1>(0, D);
+        let transform   = self.matrix().fixed_view::<D, D>(0, 0);
+        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

@@ -17,7 +17,6 @@ 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),
@@ -29,6 +28,10 @@ use crate::geometry::Point;
     ")
     )
 )]
+#[cfg_attr(
+    feature = "rkyv-serialize",
+    archive_attr(derive(bytecheck::CheckBytes))
+)]
 #[cfg_attr(feature = "cuda", derive(cust_core::DeviceCopy))]
 #[derive(Copy, Clone)]
 pub struct Translation<T, const D: usize> {
@@ -154,7 +157,7 @@ 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/geometry/unit_complex_construction.rs

@@ -131,10 +131,11 @@ where
     ///
     /// # Example
     /// ```
+    /// #[macro_use] extern crate approx;
     /// # use nalgebra::UnitComplex;
     /// let c = UnitComplex::new(1.0f64);
     /// let c2 = c.cast::<f32>();
-    /// assert_eq!(c2, UnitComplex::new(1.0f32));
+    /// assert_relative_eq!(c2, UnitComplex::new(1.0f32));
     /// ```
     pub fn cast<To: Scalar>(self) -> UnitComplex<To>
     where

src/lib.rs

@@ -46,28 +46,34 @@ fn main() {
 **nalgebra** is meant to be a general-purpose, low-dimensional, linear algebra library, with
 an optimized set of tools for computer graphics and physics. Those features include:
 
-* A single parametrizable type `Matrix` for vectors, (square or rectangular) matrices, and slices
-  with dimensions known either at compile-time (using type-level integers) or at runtime.
+* A single parametrizable type [`Matrix`](Matrix) for vectors, (square or rectangular) matrices, and
+  slices with dimensions known either at compile-time (using type-level integers) or at runtime.
 * Matrices and vectors with compile-time sizes are statically allocated while dynamic ones are
   allocated on the heap.
-* Convenient aliases for low-dimensional matrices and vectors: `Vector1` to `Vector6` and
-  `Matrix1x1` to `Matrix6x6`, including rectangular matrices like `Matrix2x5`.
-* Points sizes known at compile time, and convenience aliases: `Point1` to `Point6`.
-* Translation (seen as a transformation that composes by multiplication): `Translation2`,
-  `Translation3`.
-* Rotation matrices: `Rotation2`, `Rotation3`.
-* Quaternions: `Quaternion`, `UnitQuaternion` (for 3D rotation).
-* Unit complex numbers can be used for 2D rotation: `UnitComplex`.
-* Algebraic entities with a norm equal to one: `Unit<T>`, e.g., `Unit<Vector3<f32>>`.
-* Isometries (translation ⨯ rotation): `Isometry2`, `Isometry3`
-* Similarity transformations (translation ⨯ rotation ⨯ uniform scale): `Similarity2`, `Similarity3`.
-* Affine transformations stored as a homogeneous matrix: `Affine2`, `Affine3`.
-* Projective (i.e. invertible) transformations stored as a homogeneous matrix: `Projective2`,
-  `Projective3`.
+* Convenient aliases for low-dimensional matrices and vectors: [`Vector1`](Vector1) to
+  [`Vector6`](Vector6) and [`Matrix1x1`](Matrix1) to [`Matrix6x6`](Matrix6), including rectangular
+  matrices like [`Matrix2x5`](Matrix2x5).
+* Points sizes known at compile time, and convenience aliases: [`Point1`](Point1) to
+  [`Point6`](Point6).
+* Translation (seen as a transformation that composes by multiplication):
+  [`Translation2`](Translation2), [`Translation3`](Translation3).
+* Rotation matrices: [`Rotation2`](Rotation2), [`Rotation3`](Rotation3).
+* Quaternions: [`Quaternion`](Quaternion), [`UnitQuaternion`](UnitQuaternion) (for 3D rotation).
+* Unit complex numbers can be used for 2D rotation: [`UnitComplex`](UnitComplex).
+* Algebraic entities with a norm equal to one: [`Unit<T>`](Unit), e.g., `Unit<Vector3<f32>>`.
+* Isometries (translation ⨯ rotation): [`Isometry2`](Isometry2), [`Isometry3`](Isometry3)
+* Similarity transformations (translation ⨯ rotation ⨯ uniform scale):
+  [`Similarity2`](Similarity2), [`Similarity3`](Similarity3).
+* Affine transformations stored as a homogeneous matrix:
+  [`Affine2`](Affine2), [`Affine3`](Affine3).
+* Projective (i.e. invertible) transformations stored as a homogeneous matrix:
+  [`Projective2`](Projective2), [`Projective3`](Projective3).
 * General transformations that does not have to be invertible, stored as a homogeneous matrix:
-  `Transform2`, `Transform3`.
-* 3D projections for computer graphics: `Perspective3`, `Orthographic3`.
-* Matrix factorizations: `Cholesky`, `QR`, `LU`, `FullPivLU`, `SVD`, `Schur`, `Hessenberg`, `SymmetricEigen`.
+  [`Transform2`](Transform2), [`Transform3`](Transform3).
+* 3D projections for computer graphics: [`Perspective3`](Perspective3),
+  [`Orthographic3`](Orthographic3).
+* Matrix factorizations: [`Cholesky`](Cholesky), [`QR`](QR), [`LU`](LU), [`FullPivLU`](FullPivLU),
+  [`SVD`](SVD), [`Schur`](Schur), [`Hessenberg`](Hessenberg), [`SymmetricEigen`](SymmetricEigen).
 * Insertion and removal of rows of columns of a matrix.
 */
 
@@ -94,6 +100,19 @@ an optimized set of tools for computer graphics and physics. Those features incl
 )]
 #![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;
 
@@ -112,8 +131,6 @@ extern crate alloc;
 #[cfg(not(feature = "std"))]
 extern crate core as std;
 
-#[cfg(feature = "io")]
-extern crate pest;
 #[macro_use]
 #[cfg(feature = "io")]
 extern crate pest_derive;

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()
@@ -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

@@ -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;
         }
 
@@ -228,7 +228,7 @@ 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 +283,17 @@ where
             self.chol.shape_generic().0.add(Const::<1>),
             self.chol.shape_generic().1.add(Const::<1>),
         );
-        chol.slice_range_mut(..j, ..j)
-            .copy_from(&self.chol.slice_range(..j, ..j));
-        chol.slice_range_mut(..j, j + 1..)
-            .copy_from(&self.chol.slice_range(..j, j..));
-        chol.slice_range_mut(j + 1.., ..j)
-            .copy_from(&self.chol.slice_range(j.., ..j));
-        chol.slice_range_mut(j + 1.., j + 1..)
-            .copy_from(&self.chol.slice_range(j.., j..));
+        chol.view_range_mut(..j, ..j)
+            .copy_from(&self.chol.view_range(..j, ..j));
+        chol.view_range_mut(..j, j + 1..)
+            .copy_from(&self.chol.view_range(..j, j..));
+        chol.view_range_mut(j + 1.., ..j)
+            .copy_from(&self.chol.view_range(j.., ..j));
+        chol.view_range_mut(j + 1.., j + 1..)
+            .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 +302,14 @@ 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 +317,10 @@ 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 +348,17 @@ where
             self.chol.shape_generic().0.sub(Const::<1>),
             self.chol.shape_generic().1.sub(Const::<1>),
         );
-        chol.slice_range_mut(..j, ..j)
-            .copy_from(&self.chol.slice_range(..j, ..j));
-        chol.slice_range_mut(..j, j..)
-            .copy_from(&self.chol.slice_range(..j, j + 1..));
-        chol.slice_range_mut(j.., ..j)
-            .copy_from(&self.chol.slice_range(j + 1.., ..j));
-        chol.slice_range_mut(j.., j..)
-            .copy_from(&self.chol.slice_range(j + 1.., j + 1..));
+        chol.view_range_mut(..j, ..j)
+            .copy_from(&self.chol.view_range(..j, ..j));
+        chol.view_range_mut(..j, j..)
+            .copy_from(&self.chol.view_range(..j, j + 1..));
+        chol.view_range_mut(j.., ..j)
+            .copy_from(&self.chol.view_range(j + 1.., ..j));
+        chol.view_range_mut(j.., j..)
+            .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 +370,7 @@ 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 +404,7 @@ 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/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/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/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

@@ -174,19 +174,19 @@ 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(&mut t.generic_view_mut(
                                 (k, 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), (Dynamic::new(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 +211,37 @@ where
 
                     {
                         let mut work = work.rows_mut(0, end + 1);
-                        refl.reflect(&mut t.generic_slice_mut(
-                            (m, m),
-                            (Const::<2>, Dynamic::new(dim.value() - m)),
-                        ));
+                        refl.reflect(
+                            &mut t.generic_view_mut(
+                                (m, 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), (Dynamic::new(end + 1), Const::<2>)),
                             &mut work,
                         );
                     }
 
                     if let Some(ref mut q) = q {
-                        refl.reflect_rows(
-                            &mut q.generic_slice_mut((0, m), (dim, Const::<2>)),
-                            work,
-                        );
+                        refl.reflect_rows(&mut q.generic_view_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(&mut t.generic_view_mut(
                         (start, start),
                         (Const::<2>, Dynamic::new(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), (Dynamic::new(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 +426,9 @@ 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 +529,7 @@ 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>,
-            &DVectorSlice<'_, T, S2::RStride, S2::CStride>,
+            &DVectorView<'_, T, S::RStride, S::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>,
-            &DVectorSlice<'_, T, S2::RStride, S2::CStride>,
+            &DVectorView<'_, T, S::RStride, S::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>,
-            &DVectorSlice<'_, T, S2::RStride, S2::CStride>,
+            &DVectorView<'_, T, S::RStride, S::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>,
-            &DVectorSlice<'_, T, S2::RStride, S2::CStride>,
+            &DVectorView<'_, T, S::RStride, S::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/third_party/glam/common/glam_matrix.rs

@@ -14,7 +14,7 @@ macro_rules! impl_vec_conversion(
         impl From<$Vec2> for Vector2<$N> {
             #[inline]
             fn from(e: $Vec2) -> Vector2<$N> {
-                (*e.as_ref()).into()
+                <[$N;2]>::from(e).into()
             }
         }
 
@@ -31,7 +31,7 @@ macro_rules! impl_vec_conversion(
         impl From<$Vec3> for Vector3<$N> {
             #[inline]
             fn from(e: $Vec3) -> Vector3<$N> {
-                (*e.as_ref()).into()
+                <[$N;3]>::from(e).into()
             }
         }
 
@@ -48,7 +48,7 @@ macro_rules! impl_vec_conversion(
         impl From<$Vec4> for Vector4<$N> {
             #[inline]
             fn from(e: $Vec4) -> Vector4<$N> {
-                (*e.as_ref()).into()
+                <[$N;4]>::from(e).into()
             }
         }
 

src/third_party/glam/common/glam_point.rs

@@ -9,7 +9,7 @@ macro_rules! impl_point_conversion(
         impl From<$Vec2> for Point2<$N> {
             #[inline]
             fn from(e: $Vec2) -> Point2<$N> {
-                (*e.as_ref()).into()
+                <[$N;2]>::from(e).into()
             }
         }
 
@@ -23,7 +23,7 @@ macro_rules! impl_point_conversion(
         impl From<$Vec3> for Point3<$N> {
             #[inline]
             fn from(e: $Vec3) -> Point3<$N> {
-                (*e.as_ref()).into()
+                <[$N;3]>::from(e).into()
             }
         }
 
@@ -37,7 +37,7 @@ macro_rules! impl_point_conversion(
         impl From<$Vec4> for Point4<$N> {
             #[inline]
             fn from(e: $Vec4) -> Point4<$N> {
-                (*e.as_ref()).into()
+                <[$N;4]>::from(e).into()
             }
         }
 

src/third_party/glam/mod.rs

@@ -12,3 +12,7 @@ mod v018;
 mod v019;
 #[cfg(feature = "glam020")]
 mod v020;
+#[cfg(feature = "glam021")]
+mod v021;
+#[cfg(feature = "glam022")]
+mod v022;

src/third_party/glam/v021/mod.rs

@@ -0,0 +1,18 @@
+#[path = "../common/glam_isometry.rs"]
+mod glam_isometry;
+#[path = "../common/glam_matrix.rs"]
+mod glam_matrix;
+#[path = "../common/glam_point.rs"]
+mod glam_point;
+#[path = "../common/glam_quaternion.rs"]
+mod glam_quaternion;
+#[path = "../common/glam_rotation.rs"]
+mod glam_rotation;
+#[path = "../common/glam_similarity.rs"]
+mod glam_similarity;
+#[path = "../common/glam_translation.rs"]
+mod glam_translation;
+#[path = "../common/glam_unit_complex.rs"]
+mod glam_unit_complex;
+
+pub(self) use glam021 as glam;

src/third_party/glam/v022/mod.rs

@@ -0,0 +1,18 @@
+#[path = "../common/glam_isometry.rs"]
+mod glam_isometry;
+#[path = "../common/glam_matrix.rs"]
+mod glam_matrix;
+#[path = "../common/glam_point.rs"]
+mod glam_point;
+#[path = "../common/glam_quaternion.rs"]
+mod glam_quaternion;
+#[path = "../common/glam_rotation.rs"]
+mod glam_rotation;
+#[path = "../common/glam_similarity.rs"]
+mod glam_similarity;
+#[path = "../common/glam_translation.rs"]
+mod glam_translation;
+#[path = "../common/glam_unit_complex.rs"]
+mod glam_unit_complex;
+
+pub(self) use glam022 as glam;

tests/core/conversion.rs

@@ -7,7 +7,7 @@ use na::{
     RowVector5, RowVector6, Similarity3, Transform3, UnitQuaternion, Vector1, Vector2, Vector3,
     Vector4, Vector5, Vector6,
 };
-use na::{DMatrix, DMatrixSlice, DMatrixSliceMut, MatrixSlice, MatrixSliceMut};
+use na::{DMatrix, DMatrixView, DMatrixViewMut, MatrixView, MatrixViewMut};
 use na::{U1, U3, U4};
 
 use crate::proptest::*;
@@ -266,24 +266,24 @@ fn matrix_slice_from_matrix_ref() {
     // Note: these have to be macros, and not functions, because the input type is different
     // across the different tests. Moreover, the output type depends on the stride of the input,
     // which is different for static and dynamic matrices.
-    macro_rules! dynamic_slice {
+    macro_rules! dynamic_view {
         ($mref:expr) => {
-            DMatrixSlice::<_>::from($mref)
+            DMatrixView::<_>::from($mref)
         };
     }
-    macro_rules! dynamic_slice_mut {
+    macro_rules! dynamic_view_mut {
         ($mref:expr) => {
-            DMatrixSliceMut::<_>::from($mref)
+            DMatrixViewMut::<_>::from($mref)
         };
     }
-    macro_rules! fixed_slice {
+    macro_rules! fixed_view {
         ($mref:expr) => {
-            MatrixSlice::<_, U3, U4, U1, U3>::from($mref)
+            MatrixView::<_, U3, U4, U1, U3>::from($mref)
         };
     }
-    macro_rules! fixed_slice_mut {
+    macro_rules! fixed_view_mut {
         ($mref:expr) => {
-            MatrixSliceMut::<_, U3, U4, U1, U3>::from($mref)
+            MatrixViewMut::<_, U3, U4, U1, U3>::from($mref)
         };
     }
 
@@ -291,66 +291,66 @@ fn matrix_slice_from_matrix_ref() {
     // Self and RHS. See issue #674. Once this is implemented, we can remove `into_owned`
     // from the below tests.
 
-    // Construct slices from reference to a
+    // Construct views from reference to a
     {
-        assert_eq!(a, fixed_slice!(&a).into_owned());
-        assert_eq!(d, dynamic_slice!(&a).into_owned());
+        assert_eq!(a, fixed_view!(&a).into_owned());
+        assert_eq!(d, dynamic_view!(&a).into_owned());
     }
 
-    // Construct slices from mutable reference to a
+    // Construct views from mutable reference to a
     {
         let mut a_clone = a.clone();
-        assert_eq!(a, fixed_slice!(&mut a_clone).into_owned());
-        assert_eq!(d, dynamic_slice!(&mut a_clone).into_owned());
+        assert_eq!(a, fixed_view!(&mut a_clone).into_owned());
+        assert_eq!(d, dynamic_view!(&mut a_clone).into_owned());
     }
 
     // Construct mutable slices from mutable reference to a
     {
         let mut a_clone = a.clone();
-        assert_eq!(a, fixed_slice_mut!(&mut a_clone).into_owned());
-        assert_eq!(d, dynamic_slice_mut!(&mut a_clone).into_owned());
+        assert_eq!(a, fixed_view_mut!(&mut a_clone).into_owned());
+        assert_eq!(d, dynamic_view_mut!(&mut a_clone).into_owned());
     }
 
     // Construct slices from reference to d
     {
-        assert_eq!(a, fixed_slice!(&d).into_owned());
-        assert_eq!(d, dynamic_slice!(&d).into_owned());
+        assert_eq!(a, fixed_view!(&d).into_owned());
+        assert_eq!(d, dynamic_view!(&d).into_owned());
     }
 
     // Construct slices from mutable reference to d
     {
         let mut d_clone = a.clone();
-        assert_eq!(a, fixed_slice!(&mut d_clone).into_owned());
-        assert_eq!(d, dynamic_slice!(&mut d_clone).into_owned());
+        assert_eq!(a, fixed_view!(&mut d_clone).into_owned());
+        assert_eq!(d, dynamic_view!(&mut d_clone).into_owned());
     }
 
     // Construct mutable slices from mutable reference to d
     {
         let mut d_clone = d.clone();
-        assert_eq!(a, fixed_slice_mut!(&mut d_clone).into_owned());
-        assert_eq!(d, dynamic_slice_mut!(&mut d_clone).into_owned());
+        assert_eq!(a, fixed_view_mut!(&mut d_clone).into_owned());
+        assert_eq!(d, dynamic_view_mut!(&mut d_clone).into_owned());
     }
 
     // Construct slices from a slice of a
     {
-        let mut a_slice = fixed_slice!(&a);
-        assert_eq!(a, fixed_slice!(&a_slice).into_owned());
-        assert_eq!(a, fixed_slice!(&mut a_slice).into_owned());
-        assert_eq!(d, dynamic_slice!(&a_slice).into_owned());
-        assert_eq!(d, dynamic_slice!(&mut a_slice).into_owned());
+        let mut a_slice = fixed_view!(&a);
+        assert_eq!(a, fixed_view!(&a_slice).into_owned());
+        assert_eq!(a, fixed_view!(&mut a_slice).into_owned());
+        assert_eq!(d, dynamic_view!(&a_slice).into_owned());
+        assert_eq!(d, dynamic_view!(&mut a_slice).into_owned());
     }
 
     // Construct slices from a slice mut of a
     {
         // Need a clone of a here, so that we can both have a mutable borrow and compare equality
         let mut a_clone = a.clone();
-        let mut a_slice = fixed_slice_mut!(&mut a_clone);
+        let mut a_slice = fixed_view_mut!(&mut a_clone);
 
-        assert_eq!(a, fixed_slice!(&a_slice).into_owned());
-        assert_eq!(a, fixed_slice!(&mut a_slice).into_owned());
-        assert_eq!(d, dynamic_slice!(&a_slice).into_owned());
-        assert_eq!(d, dynamic_slice!(&mut a_slice).into_owned());
-        assert_eq!(a, fixed_slice_mut!(&mut a_slice).into_owned());
-        assert_eq!(d, dynamic_slice_mut!(&mut a_slice).into_owned());
+        assert_eq!(a, fixed_view!(&a_slice).into_owned());
+        assert_eq!(a, fixed_view!(&mut a_slice).into_owned());
+        assert_eq!(d, dynamic_view!(&a_slice).into_owned());
+        assert_eq!(d, dynamic_view!(&mut a_slice).into_owned());
+        assert_eq!(a, fixed_view_mut!(&mut a_slice).into_owned());
+        assert_eq!(d, dynamic_view_mut!(&mut a_slice).into_owned());
     }
 }

tests/core/matrix.rs

@@ -1066,43 +1066,43 @@ fn partial_eq_different_types() {
     let static_mat = Matrix2x4::new(1, 2, 3, 4, 5, 6, 7, 8);
 
     let mut typenum_static_mat = OMatrix::<u8, Const<1024>, Const<4>>::zeros();
-    let mut slice = typenum_static_mat.slice_mut((0, 0), (2, 4));
-    slice += static_mat;
+    let mut view = typenum_static_mat.view_mut((0, 0), (2, 4));
+    view += static_mat;
 
-    let fslice_of_dmat = dynamic_mat.fixed_slice::<2, 2>(0, 0);
-    let dslice_of_dmat = dynamic_mat.slice((0, 0), (2, 2));
-    let fslice_of_smat = static_mat.fixed_slice::<2, 2>(0, 0);
-    let dslice_of_smat = static_mat.slice((0, 0), (2, 2));
+    let fview_of_dmat = dynamic_mat.fixed_view::<2, 2>(0, 0);
+    let dview_of_dmat = dynamic_mat.view((0, 0), (2, 2));
+    let fview_of_smat = static_mat.fixed_view::<2, 2>(0, 0);
+    let dview_of_smat = static_mat.view((0, 0), (2, 2));
 
     assert_eq!(dynamic_mat, static_mat);
     assert_eq!(static_mat, dynamic_mat);
 
-    assert_eq!(dynamic_mat, slice);
-    assert_eq!(slice, dynamic_mat);
+    assert_eq!(dynamic_mat, view);
+    assert_eq!(view, dynamic_mat);
 
-    assert_eq!(static_mat, slice);
-    assert_eq!(slice, static_mat);
+    assert_eq!(static_mat, view);
+    assert_eq!(view, static_mat);
 
-    assert_eq!(fslice_of_dmat, dslice_of_dmat);
-    assert_eq!(dslice_of_dmat, fslice_of_dmat);
+    assert_eq!(fview_of_dmat, dview_of_dmat);
+    assert_eq!(dview_of_dmat, fview_of_dmat);
 
-    assert_eq!(fslice_of_dmat, fslice_of_smat);
-    assert_eq!(fslice_of_smat, fslice_of_dmat);
+    assert_eq!(fview_of_dmat, fview_of_smat);
+    assert_eq!(fview_of_smat, fview_of_dmat);
 
-    assert_eq!(fslice_of_dmat, dslice_of_smat);
-    assert_eq!(dslice_of_smat, fslice_of_dmat);
+    assert_eq!(fview_of_dmat, dview_of_smat);
+    assert_eq!(dview_of_smat, fview_of_dmat);
 
-    assert_eq!(dslice_of_dmat, fslice_of_smat);
-    assert_eq!(fslice_of_smat, dslice_of_dmat);
+    assert_eq!(dview_of_dmat, fview_of_smat);
+    assert_eq!(fview_of_smat, dview_of_dmat);
 
-    assert_eq!(dslice_of_dmat, dslice_of_smat);
-    assert_eq!(dslice_of_smat, dslice_of_dmat);
+    assert_eq!(dview_of_dmat, dview_of_smat);
+    assert_eq!(dview_of_smat, dview_of_dmat);
 
-    assert_eq!(fslice_of_smat, dslice_of_smat);
-    assert_eq!(dslice_of_smat, fslice_of_smat);
+    assert_eq!(fview_of_smat, dview_of_smat);
+    assert_eq!(dview_of_smat, fview_of_smat);
 
-    assert_ne!(dynamic_mat, dslice_of_smat);
-    assert_ne!(dslice_of_smat, dynamic_mat);
+    assert_ne!(dynamic_mat, dview_of_smat);
+    assert_ne!(dview_of_smat, dynamic_mat);
 
     // TODO - implement those comparisons
     // assert_ne!(static_mat, typenum_static_mat);

tests/core/matrix_view.rs

@@ -1,22 +1,22 @@
 #![allow(non_snake_case)]
 
 use na::{
-    DMatrix, DMatrixSlice, DMatrixSliceMut, Matrix2, Matrix2x3, Matrix2x4, Matrix2x6, Matrix3,
-    Matrix3x2, Matrix3x4, Matrix4x2, Matrix6x2, MatrixSlice2, MatrixSlice2x3, MatrixSlice2xX,
-    MatrixSlice3, MatrixSlice3x2, MatrixSliceMut2, MatrixSliceMut2x3, MatrixSliceMut2xX,
-    MatrixSliceMut3, MatrixSliceMut3x2, MatrixSliceMutXx3, MatrixSliceXx3, RowVector4, Vector3,
+    DMatrix, DMatrixView, DMatrixViewMut, Matrix2, Matrix2x3, Matrix2x4, Matrix2x6, Matrix3,
+    Matrix3x2, Matrix3x4, Matrix4x2, Matrix6x2, MatrixView2, MatrixView2x3, MatrixView2xX,
+    MatrixView3, MatrixView3x2, MatrixViewMut2, MatrixViewMut2x3, MatrixViewMut2xX, MatrixViewMut3,
+    MatrixViewMut3x2, MatrixViewMutXx3, MatrixViewXx3, RowVector4, Vector3,
 };
 
 #[test]
 #[rustfmt::skip]
-fn nested_fixed_slices() {
+fn nested_fixed_views() {
     let a = Matrix3x4::new(11.0, 12.0, 13.0, 14.0,
                            21.0, 22.0, 23.0, 24.0,
                            31.0, 32.0, 33.0, 34.0);
 
-    let s1 = a.fixed_slice::<3, 3>(0, 1);                       // Simple slice.
-    let s2 = s1.fixed_slice::<2, 2>(1, 1);                      // Slice of slice.
-    let s3 = s1.fixed_slice_with_steps::<2, 2>((0, 0), (1, 1)); // Slice of slice with steps.
+    let s1 = a.fixed_view::<3, 3>(0, 1);                       // Simple view.
+    let s2 = s1.fixed_view::<2, 2>(1, 1);                      // View of view.
+    let s3 = s1.fixed_view_with_steps::<2, 2>((0, 0), (1, 1)); // View of view with steps.
 
     let expected_owned_s1 = Matrix3::new(12.0, 13.0, 14.0,
                                          22.0, 23.0, 24.0,
@@ -35,14 +35,14 @@ fn nested_fixed_slices() {
 
 #[test]
 #[rustfmt::skip]
-fn nested_slices() {
+fn nested_views() {
     let a = Matrix3x4::new(11.0, 12.0, 13.0, 14.0,
                            21.0, 22.0, 23.0, 24.0,
                            31.0, 32.0, 33.0, 34.0);
 
-    let s1 = a.slice((0, 1), (3, 3));
-    let s2 = s1.slice((1, 1), (2, 2));
-    let s3 = s1.slice_with_steps((0, 0), (2, 2), (1, 1));
+    let s1 = a.view((0, 1), (3, 3));
+    let s2 = s1.view((1, 1), (2, 2));
+    let s3 = s1.view_with_steps((0, 0), (2, 2), (1, 1));
 
     let expected_owned_s1 = DMatrix::from_row_slice(3, 3, &[ 12.0, 13.0, 14.0,
                                                              22.0, 23.0, 24.0,
@@ -61,14 +61,14 @@ fn nested_slices() {
 
 #[test]
 #[rustfmt::skip]
-fn slice_mut() {
+fn view_mut() {
     let mut a = Matrix3x4::new(11.0, 12.0, 13.0, 14.0,
                                21.0, 22.0, 23.0, 24.0,
                                31.0, 32.0, 33.0, 34.0);
 
     {
-        // We modify `a` through the mutable slice.
-        let mut s1 = a.slice_with_steps_mut((0, 1), (2, 2), (1, 1));
+        // We modify `a` through the mutable view.
+        let mut s1 = a.view_with_steps_mut((0, 1), (2, 2), (1, 1));
         s1.fill(0.0);
     }
 
@@ -81,7 +81,7 @@ fn slice_mut() {
 
 #[test]
 #[rustfmt::skip]
-fn nested_row_slices() {
+fn nested_row_views() {
     let a = Matrix6x2::new(11.0, 12.0,
                            21.0, 22.0,
                            31.0, 32.0,
@@ -105,7 +105,7 @@ fn nested_row_slices() {
 
 #[test]
 #[rustfmt::skip]
-fn row_slice_mut() {
+fn row_view_mut() {
     let mut a = Matrix6x2::new(11.0, 12.0,
                                21.0, 22.0,
                                31.0, 32.0,
@@ -113,7 +113,7 @@ fn row_slice_mut() {
                                51.0, 52.0,
                                61.0, 62.0);
     {
-        // We modify `a` through the mutable slice.
+        // We modify `a` through the mutable view.
         let mut s1 = a.rows_with_step_mut(1, 3, 1);
         s1.fill(0.0);
     }
@@ -130,7 +130,7 @@ fn row_slice_mut() {
 
 #[test]
 #[rustfmt::skip]
-fn nested_col_slices() {
+fn nested_col_views() {
     let a = Matrix2x6::new(11.0, 12.0, 13.0, 14.0, 15.0, 16.0,
                            21.0, 22.0, 23.0, 24.0, 25.0, 26.0);
     let s1 = a.fixed_columns::<4>(1);
@@ -148,12 +148,12 @@ fn nested_col_slices() {
 
 #[test]
 #[rustfmt::skip]
-fn col_slice_mut() {
+fn col_view_mut() {
     let mut a = Matrix2x6::new(11.0, 12.0, 13.0, 14.0, 15.0, 16.0,
                                21.0, 22.0, 23.0, 24.0, 25.0, 26.0);
 
     {
-        // We modify `a` through the mutable slice.
+        // We modify `a` through the mutable view.
         let mut s1 = a.columns_with_step_mut(1, 3, 1);
         s1.fill(0.0);
     }
@@ -203,7 +203,7 @@ fn columns_range_pair() {
 
 #[test]
 #[rustfmt::skip]
-fn new_slice() {
+fn new_from_slice() {
     let data = [ 1.0, 2.0,  3.0,  4.0,
                  5.0, 6.0,  7.0,  8.0,
                  9.0, 10.0, 11.0, 12.0 ];
@@ -214,13 +214,13 @@ fn new_slice() {
     let expected3x2 = Matrix3x2::from_column_slice(&data);
 
     {
-        let m2   = MatrixSlice2::from_slice(&data);
-        let m3   = MatrixSlice3::from_slice(&data);
-        let m2x3 = MatrixSlice2x3::from_slice(&data);
-        let m3x2 = MatrixSlice3x2::from_slice(&data);
-        let m2xX = MatrixSlice2xX::from_slice(&data, 3);
-        let mXx3 = MatrixSliceXx3::from_slice(&data, 2);
-        let mXxX = DMatrixSlice::from_slice(&data, 2, 3);
+        let m2   = MatrixView2::from_slice(&data);
+        let m3   = MatrixView3::from_slice(&data);
+        let m2x3 = MatrixView2x3::from_slice(&data);
+        let m3x2 = MatrixView3x2::from_slice(&data);
+        let m2xX = MatrixView2xX::from_slice(&data, 3);
+        let mXx3 = MatrixViewXx3::from_slice(&data, 2);
+        let mXxX = DMatrixView::from_slice(&data, 2, 3);
 
         assert!(m2.eq(&expected2));
         assert!(m3.eq(&expected3));
@@ -234,7 +234,7 @@ fn new_slice() {
 
 #[test]
 #[rustfmt::skip]
-fn new_slice_mut() {
+fn new_from_slice_mut() {
     let data = [ 1.0, 2.0,  3.0,  4.0,
                  5.0, 6.0,  7.0,  8.0,
                  9.0, 10.0, 11.0, 12.0 ];
@@ -252,31 +252,31 @@ fn new_slice_mut() {
                         9.0, 10.0, 11.0, 12.0 ];
 
     let mut data_mut = data.clone();
-    MatrixSliceMut2::from_slice(&mut data_mut).fill(0.0);
+    MatrixViewMut2::from_slice(&mut data_mut).fill(0.0);
     assert!(data_mut == expected2);
 
     let mut data_mut = data.clone();
-    MatrixSliceMut3::from_slice(&mut data_mut).fill(0.0);
+    MatrixViewMut3::from_slice(&mut data_mut).fill(0.0);
     assert!(data_mut == expected3);
 
     let mut data_mut = data.clone();
-    MatrixSliceMut2x3::from_slice(&mut data_mut).fill(0.0);
+    MatrixViewMut2x3::from_slice(&mut data_mut).fill(0.0);
     assert!(data_mut == expected2x3);
 
     let mut data_mut = data.clone();
-    MatrixSliceMut3x2::from_slice(&mut data_mut).fill(0.0);
+    MatrixViewMut3x2::from_slice(&mut data_mut).fill(0.0);
     assert!(data_mut == expected3x2);
 
     let mut data_mut = data.clone();
-    MatrixSliceMut2xX::from_slice(&mut data_mut, 3).fill(0.0);
+    MatrixViewMut2xX::from_slice(&mut data_mut, 3).fill(0.0);
     assert!(data_mut == expected2x3);
 
     let mut data_mut = data.clone();
-    MatrixSliceMutXx3::from_slice(&mut data_mut, 2).fill(0.0);
+    MatrixViewMutXx3::from_slice(&mut data_mut, 2).fill(0.0);
     assert!(data_mut == expected2x3);
 
     let mut data_mut = data.clone();
-    DMatrixSliceMut::from_slice(&mut data_mut, 2, 3).fill(0.0);
+    DMatrixViewMut::from_slice(&mut data_mut, 2, 3).fill(0.0);
     assert!(data_mut == expected2x3);
 }
 
@@ -324,14 +324,14 @@ fn columns_with_step_out_of_bounds() {
 
 #[test]
 #[should_panic]
-fn slice_out_of_bounds() {
+fn view_out_of_bounds() {
     let a = Matrix3x4::<f32>::zeros();
-    a.slice((1, 2), (3, 1));
+    a.view((1, 2), (3, 1));
 }
 
 #[test]
 #[should_panic]
-fn slice_with_steps_out_of_bounds() {
+fn view_with_steps_out_of_bounds() {
     let a = Matrix3x4::<f32>::zeros();
-    a.slice_with_steps((1, 2), (2, 2), (0, 1));
+    a.view_with_steps((1, 2), (2, 2), (0, 1));
 }

tests/core/mod.rs

@@ -4,9 +4,10 @@ mod conversion;
 mod edition;
 mod empty;
 mod matrix;
-mod matrix_slice;
+mod matrix_view;
 #[cfg(feature = "mint")]
 mod mint;
+#[cfg(feature = "rkyv-serialize-no-std")]
 mod rkyv;
 mod serde;
 

tests/geometry/rotation.rs

@@ -1,4 +1,7 @@
-use na::{Quaternion, RealField, UnitQuaternion, Vector2, Vector3};
+use na::{
+    Matrix3, Quaternion, RealField, Rotation3, UnitQuaternion, UnitVector3, Vector2, Vector3,
+};
+use std::f64::consts::PI;
 
 #[test]
 fn angle_2() {
@@ -16,6 +19,58 @@ fn angle_3() {
     assert_eq!(a.angle(&b), 0.0);
 }
 
+#[test]
+fn from_rotation_matrix() {
+    // Test degenerate case when from_matrix gets stuck in Identity rotation
+    let identity =
+        Rotation3::from_matrix(&Matrix3::new(1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0));
+    assert_relative_eq!(identity, &Rotation3::identity(), epsilon = 0.001);
+    let rotated_z =
+        Rotation3::from_matrix(&Matrix3::new(1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0));
+    assert_relative_eq!(
+        rotated_z,
+        &Rotation3::from_axis_angle(&UnitVector3::new_unchecked(Vector3::new(1.0, 0.0, 0.0)), PI),
+        epsilon = 0.001
+    );
+    // Test that issue 627 is fixed
+    let m_627 = Matrix3::<f64>::new(-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0);
+    assert_relative_ne!(identity, Rotation3::from_matrix(&m_627), epsilon = 0.01);
+    assert_relative_eq!(
+        Rotation3::from_matrix_unchecked(m_627.clone()),
+        Rotation3::from_matrix(&m_627),
+        epsilon = 0.001
+    );
+    // Test that issue 1078 is fixed
+    let m_1078 = Matrix3::<f64>::new(0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0);
+    assert_relative_ne!(identity, Rotation3::from_matrix(&m_1078), epsilon = 0.01);
+    assert_relative_eq!(
+        Rotation3::from_matrix_unchecked(m_1078.clone()),
+        Rotation3::from_matrix(&m_1078),
+        epsilon = 0.001
+    );
+    // Additional test cases for eps >= 1.0
+    assert_relative_ne!(
+        identity,
+        Rotation3::from_matrix_eps(&m_627, 1.2, 0, Rotation3::identity()),
+        epsilon = 0.6
+    );
+    assert_relative_eq!(
+        Rotation3::from_matrix_unchecked(m_627.clone()),
+        Rotation3::from_matrix_eps(&m_627, 1.2, 0, Rotation3::identity()),
+        epsilon = 0.6
+    );
+    assert_relative_ne!(
+        identity,
+        Rotation3::from_matrix_eps(&m_1078, 1.0, 0, Rotation3::identity()),
+        epsilon = 0.1
+    );
+    assert_relative_eq!(
+        Rotation3::from_matrix_unchecked(m_1078.clone()),
+        Rotation3::from_matrix_eps(&m_1078, 1.0, 0, Rotation3::identity()),
+        epsilon = 0.1
+    );
+}
+
 #[test]
 fn quaternion_euler_angles_issue_494() {
     let quat = UnitQuaternion::from_quaternion(Quaternion::new(