Implement CsMatrix: axpy_cs, transpose, Add and Mul.

Cargo.toml

@@ -23,6 +23,7 @@ stdweb          = [ "rand/stdweb" ]
 arbitrary       = [ "quickcheck" ]
 serde-serialize = [ "serde", "serde_derive", "num-complex/serde" ]
 abomonation-serialize = [ "abomonation" ]
+sparse = [ ]
 debug = [ ]
 alloc = [ ]
 

src/lib.rs

@@ -81,10 +81,12 @@ an optimized set of tools for computer graphics and physics. Those features incl
 #![deny(non_upper_case_globals)]
 #![deny(unused_qualifications)]
 #![deny(unused_results)]
-#![deny(missing_docs)]
+#![warn(missing_docs)] // FIXME: deny this
 #![warn(incoherent_fundamental_impls)]
-#![doc(html_favicon_url = "http://nalgebra.org/img/favicon.ico",
+#![doc(
-       html_root_url = "http://nalgebra.org/rustdoc")]
+    html_favicon_url = "http://nalgebra.org/img/favicon.ico",
+    html_root_url = "http://nalgebra.org/rustdoc"
+)]
 #![cfg_attr(not(feature = "std"), no_std)]
 #![cfg_attr(all(feature = "alloc", not(feature = "std")), feature(alloc))]
 
@@ -126,6 +128,8 @@ pub mod base;
 pub mod debug;
 pub mod geometry;
 pub mod linalg;
+#[cfg(feature = "sparse")]
+pub mod sparse;
 
 #[cfg(feature = "std")]
 #[deprecated(
@@ -135,6 +139,8 @@ pub use base as core;
 pub use base::*;
 pub use geometry::*;
 pub use linalg::*;
+#[cfg(feature = "sparse")]
+pub use sparse::*;
 
 use std::cmp::{self, Ordering, PartialOrd};
 

src/sparse/cs_matrix.rs

@@ -103,7 +103,7 @@ pub struct CsMatrix<N: Scalar, R: Dim, C: Dim, S: CsStorage<N, R, C> = CsVecStor
     _phantoms: PhantomData<(N, R, C)>,
 }
 
-pub type CsVector<N, R, S> = CsMatrix<N, R, U1, S>;
+pub type CsVector<N, R, S = CsVecStorage<N, R, U1>> = CsMatrix<N, R, U1, S>;
 
 impl<N: Scalar, R: Dim, C: Dim> CsMatrix<N, R, C>
 where
@@ -277,11 +277,14 @@ impl<N: Scalar + Zero + ClosedAdd + ClosedMul, D: Dim, S: StorageMut<N, D>> Vect
                 }
             }
         } else {
+            // Needed to be sure even components not present on `x` are multiplied.
+            *self *= beta;
+
             for i in 0..x.nvalues() {
                 unsafe {
                     let k = x.data.row_index_unchecked(i);
                     let y = self.vget_unchecked_mut(k);
-                    *y = alpha * *x.data.get_value_unchecked(i) + beta * *y;
+                    *y += alpha * *x.data.get_value_unchecked(i);
                 }
             }
         }

src/sparse/mod.rs

@@ -1,3 +1,3 @@
-pub use self::cs_matrix::CsMatrix;
+pub use self::cs_matrix::{CsMatrix, CsVector};
 
 mod cs_matrix;

tests/sparse/cs_construction.rs

@@ -0,0 +1 @@
+

tests/sparse/cs_conversion.rs

@@ -0,0 +1,18 @@
+#![cfg_attr(rustfmt, rustfmt_skip)]
+
+use na::{Matrix4x5, CsMatrix};
+
+#[test]
+fn cs_from_to_matrix() {
+    let m = Matrix4x5::new(
+        5.0, 6.0, 0.0, 8.0, 15.0,
+        9.0, 10.0, 11.0, 12.0, 0.0,
+        0.0, 0.0, 13.0, 0.0, 0.0,
+        0.0, 1.0, 4.0, 0.0, 14.0,
+    );
+
+    let cs: CsMatrix<_, _, _> = m.into();
+    let m2: Matrix4x5<_> = cs.into();
+
+    assert_eq!(m2, m);
+}

tests/sparse/cs_matrix.rs

@@ -0,0 +1,18 @@
+#![cfg_attr(rustfmt, rustfmt_skip)]
+
+use na::{Matrix4x5, Matrix5x4, CsMatrix};
+
+#[test]
+fn cs_transpose() {
+    let m = Matrix4x5::new(
+        4.0, 1.0, 4.0, 0.0, 9.0,
+        5.0, 6.0, 0.0, 8.0, 10.0,
+        9.0, 10.0, 11.0, 12.0, 0.0,
+        0.0, 0.0, 1.0, 0.0, 10.0
+    );
+
+    let cs: CsMatrix<_, _, _> = m.into();
+    let cs_transposed: Matrix5x4<_> = cs.transpose().into();
+
+    assert_eq!(cs_transposed, m.transpose())
+}

tests/sparse/cs_ops.rs

@@ -0,0 +1,65 @@
+#![cfg_attr(rustfmt, rustfmt_skip)]
+
+
+use na::{Matrix3x4, Matrix4x5, Matrix3x5, CsMatrix, Vector5, CsVector};
+
+#[test]
+fn axpy_cs() {
+    let mut v1 = Vector5::new(1.0, 2.0, 3.0, 4.0, 5.0);
+    let v2 = Vector5::new(10.0, 0.0, 30.0, 0.0, 50.0);
+    let expected = 5.0 * v2 + 10.0 * v1;
+
+    let cs: CsVector<_, _> = v2.into();
+    v1.axpy_cs(5.0, &cs, 10.0);
+
+    assert_eq!(v1, expected)
+}
+
+
+#[test]
+fn cs_mat_mul() {
+    let m1 = Matrix3x4::new(
+        0.0, 1.0, 4.0, 0.0,
+        5.0, 6.0, 0.0, 8.0,
+        9.0, 10.0, 11.0, 12.0,
+    );
+
+    let m2 = Matrix4x5::new(
+        5.0, 6.0, 0.0, 8.0, 15.0,
+        9.0, 10.0, 11.0, 12.0, 0.0,
+        0.0, 0.0, 13.0, 0.0, 0.0,
+        0.0, 1.0, 4.0, 0.0, 14.0,
+    );
+
+    let sm1: CsMatrix<_, _, _> = m1.into();
+    let sm2: CsMatrix<_, _, _> = m2.into();
+
+    let mul = &sm1 * &sm2;
+
+    assert_eq!(Matrix3x5::from(mul), m1 * m2);
+}
+
+
+#[test]
+fn cs_mat_add() {
+    let m1 = Matrix4x5::new(
+        4.0, 1.0, 4.0, 0.0, 9.0,
+        5.0, 6.0, 0.0, 8.0, 10.0,
+        9.0, 10.0, 11.0, 12.0, 0.0,
+        0.0, 0.0, 1.0, 0.0, 10.0
+    );
+
+    let m2 = Matrix4x5::new(
+        0.0, 1.0, 4.0, 0.0, 14.0,
+        5.0, 6.0, 0.0, 8.0, 15.0,
+        9.0, 10.0, 11.0, 12.0, 0.0,
+        0.0, 0.0, 13.0, 0.0, 0.0,
+    );
+
+    let sm1: CsMatrix<_, _, _> = m1.into();
+    let sm2: CsMatrix<_, _, _> = m2.into();
+
+    let mul = &sm1 + &sm2;
+
+    assert_eq!(Matrix4x5::from(mul), m1 + m2);
+}

tests/sparse/mod.rs

@@ -0,0 +1,4 @@
+mod cs_construction;
+mod cs_conversion;
+mod cs_matrix;
+mod cs_ops;