Release v0.30.0
This commit is contained in:
Sébastien Crozet
parent
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CHANGELOG.md
24
CHANGELOG.md
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@ -4,13 +4,21 @@ documented here.
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This project adheres to [Semantic Versioning](https://semver.org/).
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## [0.30.0]
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## [0.30.0] (02 Jan. 2022)
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### Breaking changes
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- The `Dim` trait is now marked as unsafe.
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- The `Matrix::pow` and `Matrix::pow_mut` methods only allow positive integer exponents now. To compute negative
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exponents, the user is free to invert the matrix before calling `pow` with the exponent’s absolute value.
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### Modified
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- Use more concise debug impls for matrices and geometric transformation types.
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- The singular values computed by the SVD are now sorted in increasing order by default. Use `SVD::new_unordered`
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instead to reproduce the older behavior without the sorting overhead.
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- The `UnitDualQuaternion::sclerp` method will no longer panic when given two equal rotations.
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- The `Matrix::select_rows` and `Matrix::select_columns` methods no longer require the matrix components to implement
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the trait `Zero`.
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- The `Matrix::pow` and `Matrix::pow_mut` methods will now also work with integer matrices.
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### Added
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- Added the conversion trait `From<Vec<T>>` and method `from_vec_storage` for `RowDVector`.
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@ -21,14 +29,26 @@ This project adheres to [Semantic Versioning](https://semver.org/).
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- The `Default` trait is now implemented for most geometric types: `Point`, `Isometry`, `Rotation`, `Similarity`,
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`Transform`, `UnitComplex`, and `UnitQuaternion`.
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- Added the `Scale` geometric type for representing non-uniform scaling.
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- `nalgebra-sparse`: provide constructors for unsorted but otherwise valid data using the CSR format.
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- Added `Cholesky::new_with_substitute` that will replace diagonal elements by a given constant whenever `Cholesky`
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meets a non-definite-positiveness.
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- Re-added the conversion from a vector/matrix slice to a static array.
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- Added the `cuda` feature that enables the support of [rust-cuda](https://github.com/Rust-GPU/Rust-CUDA) for using
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`nalgebra` features with CUDA kernels written in Rust.
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- Added special-cases implementations for the 2x2 and 3x3 SVDs for better accuracy and performances.
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- Added the methods `Matrix::polar`, `Matrix::try_polar`, and `SVD::to_polar` to compute the polar decomposition of
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a matrix, based on its SVD.
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- `nalgebra-sparse`: provide constructors for unsorted but otherwise valid data using the CSR format.
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- `nalgebra-sparse`: added reading MatrixMarked data files to a sparse `CooMatrix`.
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### Fixed
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- Fixed a potential unsoundness with `matrix.get(i)` and `matrix.get_mut(i)` where `i` is an `usize`, and `matrix`
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is a matrix slice with non-default strides.
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- Fixed potential unsoundness with `vector.perp` where `vector` isn’t actually a 2D vector as expected.
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- Fixed linkage issue with `nalgebra-lapack`: the user of `nalgebra-lapack` no longer have to add
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`extern crate lapack-src` to their `main.rs`.
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- Fixed the `no-std` build of `nalgebra-glm`.
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- Fix the `pow` and `pow_mut` functions (the result was incorrect for some exponent values).
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## [0.29.0]
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### Breaking changes
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@ -1,6 +1,6 @@
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[package]
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name = "nalgebra"
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version = "0.29.0"
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version = "0.30.0"
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authors = [ "Sébastien Crozet <developer@crozet.re>" ]
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description = "General-purpose linear algebra library with transformations and statically-sized or dynamically-sized matrices."
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@ -74,7 +74,7 @@ num-traits = { version = "0.2", default-features = false }
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num-complex = { version = "0.4", default-features = false }
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num-rational = { version = "0.4", default-features = false }
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approx = { version = "0.5", default-features = false }
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simba = { version = "0.6", default-features = false }
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simba = { version = "0.7", default-features = false }
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alga = { version = "0.9", default-features = false, optional = true }
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rand_distr = { version = "0.4", default-features = false, optional = true }
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matrixmultiply = { version = "0.3", optional = true }
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@ -134,5 +134,3 @@ lto = true
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# Enable certain features when building docs for docs.rs
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features = [ "proptest-support", "compare", "macros", "rand" ]
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[patch.crates-io]
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simba = { git = "https://github.com/dimforge/simba"}
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12
Makefile
12
Makefile
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@ -1,12 +0,0 @@
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all:
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cargo test --features "debug arbitrary serde-serialize abomonation-serialize compare"
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# cargo check --features "debug arbitrary serde-serialize"
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doc:
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cargo doc --no-deps --features "debug arbitrary serde-serialize abomonation"
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bench:
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cargo bench
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test:
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cargo test --features "debug arbitrary serde-serialize abomonation-serialize compare"
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14
README.md
14
README.md
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@ -30,10 +30,18 @@
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-----
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## Platinum sponsors
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Rapier is supported by:
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## Acknowledgements
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nalgebra is supported by our **platinum** sponsors:
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<p>
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<a href="https://embark-studios.com">
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<img src="https://www.embark.dev/img/logo_black.png" width="401px">
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<img src="https://www.embark.dev/img/logo_black.png" width="301px">
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</a>
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</p>
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And our gold sponsors:
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<p>
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<a href="https://fragcolor.com">
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<img src="https://dimforge.com/img/fragcolor_logo1_color_black.svg" width="151px">
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</a>
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</p>
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@ -4,7 +4,7 @@ version = "0.0.0"
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authors = [ "You" ]
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[dependencies]
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nalgebra = "0.29.0"
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nalgebra = "0.30.0"
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[[bin]]
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name = "example"
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@ -1,6 +1,6 @@
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[package]
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name = "nalgebra-glm"
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version = "0.15.0"
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version = "0.16.0"
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authors = ["sebcrozet <developer@crozet.re>"]
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description = "A computer-graphics oriented API for nalgebra, inspired by the C++ GLM library."
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@ -37,5 +37,5 @@ convert-glam018 = [ "nalgebra/glam018" ]
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[dependencies]
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num-traits = { version = "0.2", default-features = false }
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approx = { version = "0.5", default-features = false }
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simba = { version = "0.6", default-features = false }
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nalgebra = { path = "..", version = "0.29", default-features = false }
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simba = { version = "0.7", default-features = false }
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nalgebra = { path = "..", version = "0.30", default-features = false }
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@ -1,6 +1,6 @@
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[package]
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name = "nalgebra-lapack"
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version = "0.20.0"
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version = "0.21.0"
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authors = [ "Sébastien Crozet <developer@crozet.re>", "Andrew Straw <strawman@astraw.com>" ]
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description = "Matrix decompositions using nalgebra matrices and Lapack bindings."
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@ -29,17 +29,17 @@ accelerate = ["lapack-src/accelerate"]
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intel-mkl = ["lapack-src/intel-mkl"]
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[dependencies]
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nalgebra = { version = "0.29", path = ".." }
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nalgebra = { version = "0.30", path = ".." }
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num-traits = "0.2"
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num-complex = { version = "0.4", default-features = false }
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simba = "0.5"
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simba = "0.7"
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serde = { version = "1.0", features = [ "derive" ], optional = true }
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lapack = { version = "0.19", default-features = false }
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lapack-src = { version = "0.8", default-features = false }
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# clippy = "*"
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[dev-dependencies]
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nalgebra = { version = "0.29", features = [ "arbitrary", "rand" ], path = ".." }
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nalgebra = { version = "0.30", features = [ "arbitrary", "rand" ], path = ".." }
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proptest = { version = "1", default-features = false, features = ["std"] }
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quickcheck = "1"
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approx = "0.5"
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@ -294,7 +294,7 @@ where
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let mut res = Matrix::zeros_generic(nrows, Const::<1>);
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for i in 0..res.len() {
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res[i] = Complex::new(wr[i], wi[i]);
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res[i] = Complex::new(wr[i].clone(), wi[i].clone());
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}
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res
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@ -306,7 +306,7 @@ where
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pub fn determinant(&self) -> T {
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let mut det = T::one();
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for e in self.eigenvalues.iter() {
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det *= *e;
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det *= e.clone();
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}
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det
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let mut out = Matrix::zeros_generic(self.t.shape_generic().0, Const::<1>);
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for i in 0..out.len() {
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out[i] = Complex::new(self.re[i], self.im[i])
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out[i] = Complex::new(self.re[i].clone(), self.im[i].clone())
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}
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out
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@ -140,7 +140,7 @@ where
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pub fn determinant(&self) -> T {
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let mut det = T::one();
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for e in self.eigenvalues.iter() {
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det *= *e;
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det *= e.clone();
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}
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det
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pub fn recompose(&self) -> OMatrix<T, D, D> {
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let mut u_t = self.eigenvectors.clone();
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for i in 0..self.eigenvalues.len() {
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let val = self.eigenvalues[i];
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let val = self.eigenvalues[i].clone();
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u_t.column_mut(i).mul_assign(val);
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}
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u_t.transpose_mut();
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@ -21,5 +21,5 @@ quote = "1.0"
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proc-macro2 = "1.0"
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[dev-dependencies]
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nalgebra = { version = "0.29.0", path = ".." }
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nalgebra = { version = "0.30.0", path = ".." }
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trybuild = "1.0.42"
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[package]
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name = "nalgebra-sparse"
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version = "0.5.0"
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version = "0.6.0"
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authors = [ "Andreas Longva", "Sébastien Crozet <developer@crozet.re>" ]
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edition = "2018"
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description = "Sparse matrix computation based on nalgebra."
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@ -23,7 +23,7 @@ io = [ "pest", "pest_derive" ]
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slow-tests = []
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[dependencies]
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nalgebra = { version="0.29", path = "../" }
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nalgebra = { version="0.30", path = "../" }
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num-traits = { version = "0.2", default-features = false }
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proptest = { version = "1.0", optional = true }
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matrixcompare-core = { version = "0.1.0", optional = true }
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@ -33,7 +33,7 @@ pest_derive = { version = "2", optional = true }
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[dev-dependencies]
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itertools = "0.10"
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matrixcompare = { version = "0.3.0", features = [ "proptest-support" ] }
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nalgebra = { version="0.29", path = "../", features = ["compare"] }
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nalgebra = { version="0.30", path = "../", features = ["compare"] }
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[package.metadata.docs.rs]
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# Enable certain features when building docs for docs.rs
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