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Release v0.30.0

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Sébastien Crozet 2022-01-02 15:30:05 +01:00
parent c0f8530d5e
commit e8b9c40123
12 changed files with 52 additions and 38 deletions
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24
CHANGELOG.md
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@ -4,13 +4,21 @@ documented here.
This project adheres to [Semantic Versioning](https://semver.org/).
## [0.30.0]
## [0.30.0] (02 Jan. 2022)
### Breaking changes
- The `Dim` trait is now marked as unsafe.
- The `Matrix::pow` and `Matrix::pow_mut` methods only allow positive integer exponents now. To compute negative
exponents, the user is free to invert the matrix before calling `pow` with the exponent’s absolute value.
### Modified
- Use more concise debug impls for matrices and geometric transformation types.
- The singular values computed by the SVD are now sorted in increasing order by default. Use `SVD::new_unordered`
instead to reproduce the older behavior without the sorting overhead.
- The `UnitDualQuaternion::sclerp` method will no longer panic when given two equal rotations.
- The `Matrix::select_rows` and `Matrix::select_columns` methods no longer require the matrix components to implement
the trait `Zero`.
- The `Matrix::pow` and `Matrix::pow_mut` methods will now also work with integer matrices.
### Added
- Added the conversion trait `From<Vec<T>>` and method `from_vec_storage` for `RowDVector`.
@ -21,14 +29,26 @@ This project adheres to [Semantic Versioning](https://semver.org/).
- The `Default` trait is now implemented for most geometric types: `Point`, `Isometry`, `Rotation`, `Similarity`,
`Transform`, `UnitComplex`, and `UnitQuaternion`.
- Added the `Scale` geometric type for representing non-uniform scaling.
- `nalgebra-sparse`: provide constructors for unsorted but otherwise valid data using the CSR format.
- Added `Cholesky::new_with_substitute` that will replace diagonal elements by a given constant whenever `Cholesky`
meets a non-definite-positiveness.
- Re-added the conversion from a vector/matrix slice to a static array.
- Added the `cuda` feature that enables the support of [rust-cuda](https://github.com/Rust-GPU/Rust-CUDA) for using
`nalgebra` features with CUDA kernels written in Rust.
- Added special-cases implementations for the 2x2 and 3x3 SVDs for better accuracy and performances.
- Added the methods `Matrix::polar`, `Matrix::try_polar`, and `SVD::to_polar` to compute the polar decomposition of
a matrix, based on its SVD.
- `nalgebra-sparse`: provide constructors for unsorted but otherwise valid data using the CSR format.
- `nalgebra-sparse`: added reading MatrixMarked data files to a sparse `CooMatrix`.
### Fixed
- Fixed a potential unsoundness with `matrix.get(i)` and `matrix.get_mut(i)` where `i` is an `usize`, and `matrix`
is a matrix slice with non-default strides.
- Fixed potential unsoundness with `vector.perp` where `vector` isn’t actually a 2D vector as expected.
- Fixed linkage issue with `nalgebra-lapack`: the user of `nalgebra-lapack` no longer have to add
`extern crate lapack-src` to their `main.rs`.
- Fixed the `no-std` build of `nalgebra-glm`.
- Fix the `pow` and `pow_mut` functions (the result was incorrect for some exponent values).
## [0.29.0]
### Breaking changes

6
Cargo.toml
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@ -1,6 +1,6 @@
[package]
name = "nalgebra"
version = "0.29.0"
version = "0.30.0"
authors = [ "Sébastien Crozet <developer@crozet.re>" ]
description = "General-purpose linear algebra library with transformations and statically-sized or dynamically-sized matrices."
@ -74,7 +74,7 @@ num-traits = { version = "0.2", default-features = false }
num-complex = { version = "0.4", default-features = false }
num-rational = { version = "0.4", default-features = false }
approx = { version = "0.5", default-features = false }
simba = { version = "0.6", default-features = false }
simba = { version = "0.7", default-features = false }
alga = { version = "0.9", default-features = false, optional = true }
rand_distr = { version = "0.4", default-features = false, optional = true }
matrixmultiply = { version = "0.3", optional = true }
@ -134,5 +134,3 @@ lto = true
# Enable certain features when building docs for docs.rs
features = [ "proptest-support", "compare", "macros", "rand" ]
[patch.crates-io]
simba = { git = "https://github.com/dimforge/simba"}

12
Makefile
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@ -1,12 +0,0 @@
all:
cargo test --features "debug arbitrary serde-serialize abomonation-serialize compare"
# cargo check --features "debug arbitrary serde-serialize"
doc:
cargo doc --no-deps --features "debug arbitrary serde-serialize abomonation"
bench:
cargo bench
test:
cargo test --features "debug arbitrary serde-serialize abomonation-serialize compare"

14
README.md
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@ -30,10 +30,18 @@
-----
## Platinum sponsors
Rapier is supported by:
## Acknowledgements
nalgebra is supported by our **platinum** sponsors:
<p>
<a href="https://embark-studios.com">
<img src="https://www.embark.dev/img/logo_black.png" width="401px">
<img src="https://www.embark.dev/img/logo_black.png" width="301px">
</a>
</p>
And our gold sponsors:
<p>
<a href="https://fragcolor.com">
<img src="https://dimforge.com/img/fragcolor_logo1_color_black.svg" width="151px">
</a>
</p>

2
examples/cargo/Cargo.toml
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@ -4,7 +4,7 @@ version = "0.0.0"
authors = [ "You" ]
[dependencies]
nalgebra = "0.29.0"
nalgebra = "0.30.0"
[[bin]]
name = "example"

6
nalgebra-glm/Cargo.toml
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@ -1,6 +1,6 @@
[package]
name = "nalgebra-glm"
version = "0.15.0"
version = "0.16.0"
authors = ["sebcrozet <developer@crozet.re>"]
description = "A computer-graphics oriented API for nalgebra, inspired by the C++ GLM library."
@ -37,5 +37,5 @@ convert-glam018 = [ "nalgebra/glam018" ]
[dependencies]
num-traits = { version = "0.2", default-features = false }
approx = { version = "0.5", default-features = false }
simba = { version = "0.6", default-features = false }
nalgebra = { path = "..", version = "0.29", default-features = false }
simba = { version = "0.7", default-features = false }
nalgebra = { path = "..", version = "0.30", default-features = false }

8
nalgebra-lapack/Cargo.toml
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@ -1,6 +1,6 @@
[package]
name = "nalgebra-lapack"
version = "0.20.0"
version = "0.21.0"
authors = [ "Sébastien Crozet <developer@crozet.re>", "Andrew Straw <strawman@astraw.com>" ]
description = "Matrix decompositions using nalgebra matrices and Lapack bindings."
@ -29,17 +29,17 @@ accelerate = ["lapack-src/accelerate"]
intel-mkl = ["lapack-src/intel-mkl"]
[dependencies]
nalgebra = { version = "0.29", path = ".." }
nalgebra = { version = "0.30", path = ".." }
num-traits = "0.2"
num-complex = { version = "0.4", default-features = false }
simba = "0.5"
simba = "0.7"
serde = { version = "1.0", features = [ "derive" ], optional = true }
lapack = { version = "0.19", default-features = false }
lapack-src = { version = "0.8", default-features = false }
# clippy = "*"
[dev-dependencies]
nalgebra = { version = "0.29", features = [ "arbitrary", "rand" ], path = ".." }
nalgebra = { version = "0.30", features = [ "arbitrary", "rand" ], path = ".." }
proptest = { version = "1", default-features = false, features = ["std"] }
quickcheck = "1"
approx = "0.5"

4
nalgebra-lapack/src/eigen.rs
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@ -294,7 +294,7 @@ where
let mut res = Matrix::zeros_generic(nrows, Const::<1>);
for i in 0..res.len() {
res[i] = Complex::new(wr[i], wi[i]);
res[i] = Complex::new(wr[i].clone(), wi[i].clone());
}
res
@ -306,7 +306,7 @@ where
pub fn determinant(&self) -> T {
let mut det = T::one();
for e in self.eigenvalues.iter() {
det *= *e;
det *= e.clone();
}
det

2
nalgebra-lapack/src/schur.rs
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@ -155,7 +155,7 @@ where
let mut out = Matrix::zeros_generic(self.t.shape_generic().0, Const::<1>);
for i in 0..out.len() {
out[i] = Complex::new(self.re[i], self.im[i])
out[i] = Complex::new(self.re[i].clone(), self.im[i].clone())
}
out

4
nalgebra-lapack/src/symmetric_eigen.rs
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@ -140,7 +140,7 @@ where
pub fn determinant(&self) -> T {
let mut det = T::one();
for e in self.eigenvalues.iter() {
det *= *e;
det *= e.clone();
}
det
@ -153,7 +153,7 @@ where
pub fn recompose(&self) -> OMatrix<T, D, D> {
let mut u_t = self.eigenvectors.clone();
for i in 0..self.eigenvalues.len() {
let val = self.eigenvalues[i];
let val = self.eigenvalues[i].clone();
u_t.column_mut(i).mul_assign(val);
}
u_t.transpose_mut();

2
nalgebra-macros/Cargo.toml
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@ -21,5 +21,5 @@ quote = "1.0"
proc-macro2 = "1.0"
[dev-dependencies]
nalgebra = { version = "0.29.0", path = ".." }
nalgebra = { version = "0.30.0", path = ".." }
trybuild = "1.0.42"

6
nalgebra-sparse/Cargo.toml
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@ -1,6 +1,6 @@
[package]
name = "nalgebra-sparse"
version = "0.5.0"
version = "0.6.0"
authors = [ "Andreas Longva", "Sébastien Crozet <developer@crozet.re>" ]
edition = "2018"
description = "Sparse matrix computation based on nalgebra."
@ -23,7 +23,7 @@ io = [ "pest", "pest_derive" ]
slow-tests = []
[dependencies]
nalgebra = { version="0.29", path = "../" }
nalgebra = { version="0.30", path = "../" }
num-traits = { version = "0.2", default-features = false }
proptest = { version = "1.0", optional = true }
matrixcompare-core = { version = "0.1.0", optional = true }
@ -33,7 +33,7 @@ pest_derive = { version = "2", optional = true }
[dev-dependencies]
itertools = "0.10"
matrixcompare = { version = "0.3.0", features = [ "proptest-support" ] }
nalgebra = { version="0.29", path = "../", features = ["compare"] }
nalgebra = { version="0.30", path = "../", features = ["compare"] }
[package.metadata.docs.rs]
# Enable certain features when building docs for docs.rs