Implement CsMatrix: axpy_cs, transpose, Add and Mul.
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@ -23,6 +23,7 @@ stdweb = [ "rand/stdweb" ]
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arbitrary = [ "quickcheck" ]
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serde-serialize = [ "serde", "serde_derive", "num-complex/serde" ]
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abomonation-serialize = [ "abomonation" ]
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sparse = [ ]
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debug = [ ]
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alloc = [ ]
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12
src/lib.rs
12
src/lib.rs
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@ -81,10 +81,12 @@ an optimized set of tools for computer graphics and physics. Those features incl
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#![deny(non_upper_case_globals)]
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#![deny(unused_qualifications)]
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#![deny(unused_results)]
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#![deny(missing_docs)]
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#![warn(missing_docs)] // FIXME: deny this
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#![warn(incoherent_fundamental_impls)]
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#![doc(html_favicon_url = "http://nalgebra.org/img/favicon.ico",
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html_root_url = "http://nalgebra.org/rustdoc")]
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#![doc(
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html_favicon_url = "http://nalgebra.org/img/favicon.ico",
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html_root_url = "http://nalgebra.org/rustdoc"
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)]
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#![cfg_attr(not(feature = "std"), no_std)]
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#![cfg_attr(all(feature = "alloc", not(feature = "std")), feature(alloc))]
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@ -126,6 +128,8 @@ pub mod base;
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pub mod debug;
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pub mod geometry;
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pub mod linalg;
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#[cfg(feature = "sparse")]
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pub mod sparse;
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#[cfg(feature = "std")]
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#[deprecated(
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@ -135,6 +139,8 @@ pub use base as core;
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pub use base::*;
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pub use geometry::*;
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pub use linalg::*;
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#[cfg(feature = "sparse")]
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pub use sparse::*;
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use std::cmp::{self, Ordering, PartialOrd};
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@ -103,7 +103,7 @@ pub struct CsMatrix<N: Scalar, R: Dim, C: Dim, S: CsStorage<N, R, C> = CsVecStor
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_phantoms: PhantomData<(N, R, C)>,
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}
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pub type CsVector<N, R, S> = CsMatrix<N, R, U1, S>;
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pub type CsVector<N, R, S = CsVecStorage<N, R, U1>> = CsMatrix<N, R, U1, S>;
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impl<N: Scalar, R: Dim, C: Dim> CsMatrix<N, R, C>
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where
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@ -277,11 +277,14 @@ impl<N: Scalar + Zero + ClosedAdd + ClosedMul, D: Dim, S: StorageMut<N, D>> Vect
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}
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}
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} else {
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// Needed to be sure even components not present on `x` are multiplied.
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*self *= beta;
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for i in 0..x.nvalues() {
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unsafe {
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let k = x.data.row_index_unchecked(i);
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let y = self.vget_unchecked_mut(k);
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*y = alpha * *x.data.get_value_unchecked(i) + beta * *y;
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*y += alpha * *x.data.get_value_unchecked(i);
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}
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}
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}
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@ -1,3 +1,3 @@
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pub use self::cs_matrix::CsMatrix;
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pub use self::cs_matrix::{CsMatrix, CsVector};
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mod cs_matrix;
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@ -0,0 +1 @@
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@ -0,0 +1,18 @@
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#![cfg_attr(rustfmt, rustfmt_skip)]
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use na::{Matrix4x5, CsMatrix};
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#[test]
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fn cs_from_to_matrix() {
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let m = Matrix4x5::new(
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5.0, 6.0, 0.0, 8.0, 15.0,
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9.0, 10.0, 11.0, 12.0, 0.0,
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0.0, 0.0, 13.0, 0.0, 0.0,
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0.0, 1.0, 4.0, 0.0, 14.0,
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);
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let cs: CsMatrix<_, _, _> = m.into();
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let m2: Matrix4x5<_> = cs.into();
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assert_eq!(m2, m);
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}
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@ -0,0 +1,18 @@
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#![cfg_attr(rustfmt, rustfmt_skip)]
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use na::{Matrix4x5, Matrix5x4, CsMatrix};
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#[test]
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fn cs_transpose() {
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let m = Matrix4x5::new(
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4.0, 1.0, 4.0, 0.0, 9.0,
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5.0, 6.0, 0.0, 8.0, 10.0,
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9.0, 10.0, 11.0, 12.0, 0.0,
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0.0, 0.0, 1.0, 0.0, 10.0
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);
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let cs: CsMatrix<_, _, _> = m.into();
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let cs_transposed: Matrix5x4<_> = cs.transpose().into();
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assert_eq!(cs_transposed, m.transpose())
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}
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@ -0,0 +1,65 @@
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#![cfg_attr(rustfmt, rustfmt_skip)]
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use na::{Matrix3x4, Matrix4x5, Matrix3x5, CsMatrix, Vector5, CsVector};
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#[test]
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fn axpy_cs() {
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let mut v1 = Vector5::new(1.0, 2.0, 3.0, 4.0, 5.0);
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let v2 = Vector5::new(10.0, 0.0, 30.0, 0.0, 50.0);
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let expected = 5.0 * v2 + 10.0 * v1;
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let cs: CsVector<_, _> = v2.into();
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v1.axpy_cs(5.0, &cs, 10.0);
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assert_eq!(v1, expected)
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}
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#[test]
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fn cs_mat_mul() {
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let m1 = Matrix3x4::new(
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0.0, 1.0, 4.0, 0.0,
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5.0, 6.0, 0.0, 8.0,
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9.0, 10.0, 11.0, 12.0,
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);
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let m2 = Matrix4x5::new(
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5.0, 6.0, 0.0, 8.0, 15.0,
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9.0, 10.0, 11.0, 12.0, 0.0,
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0.0, 0.0, 13.0, 0.0, 0.0,
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0.0, 1.0, 4.0, 0.0, 14.0,
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);
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let sm1: CsMatrix<_, _, _> = m1.into();
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let sm2: CsMatrix<_, _, _> = m2.into();
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let mul = &sm1 * &sm2;
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assert_eq!(Matrix3x5::from(mul), m1 * m2);
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}
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#[test]
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fn cs_mat_add() {
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let m1 = Matrix4x5::new(
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4.0, 1.0, 4.0, 0.0, 9.0,
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5.0, 6.0, 0.0, 8.0, 10.0,
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9.0, 10.0, 11.0, 12.0, 0.0,
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0.0, 0.0, 1.0, 0.0, 10.0
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);
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let m2 = Matrix4x5::new(
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0.0, 1.0, 4.0, 0.0, 14.0,
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5.0, 6.0, 0.0, 8.0, 15.0,
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9.0, 10.0, 11.0, 12.0, 0.0,
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0.0, 0.0, 13.0, 0.0, 0.0,
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);
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let sm1: CsMatrix<_, _, _> = m1.into();
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let sm2: CsMatrix<_, _, _> = m2.into();
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let mul = &sm1 + &sm2;
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assert_eq!(Matrix4x5::from(mul), m1 + m2);
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}
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@ -0,0 +1,4 @@
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mod cs_construction;
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mod cs_conversion;
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mod cs_matrix;
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mod cs_ops;
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