Limited, experimental, sparse matrix support

Cargo.toml

@@ -23,8 +23,10 @@ stdweb          = [ "rand/stdweb" ]
 arbitrary       = [ "quickcheck" ]
 serde-serialize = [ "serde", "serde_derive", "num-complex/serde" ]
 abomonation-serialize = [ "abomonation" ]
+sparse = [ ]
 debug = [ ]
 alloc = [ ]
+io = [ "pest", "pest_derive" ]
 
 [dependencies]
 typenum        = "1.10"
@@ -33,17 +35,19 @@ rand           = { version = "0.6", default-features = false }
 num-traits     = { version = "0.2", default-features = false }
 num-complex    = { version = "0.2", default-features = false }
 approx         = { version = "0.3", default-features = false }
-alga           = { version = "0.7", default-features = false }
+alga           = { version = "0.8", default-features = false }
 matrixmultiply = { version = "0.2", optional = true }
 serde          = { version = "1.0", optional = true }
 serde_derive   = { version = "1.0", optional = true }
 abomonation    = { version = "0.7", optional = true }
 mint           = { version = "0.5", optional = true }
-quickcheck     = { version = "0.7", optional = true }
+quickcheck     = { version = "0.8", optional = true }
+pest           = { version = "2.0", optional = true }
+pest_derive    = { version = "2.0", optional = true }
 
 [dev-dependencies]
 serde_json = "1.0"
 rand_xorshift = "0.1"
 
 [workspace]
-members = [ "nalgebra-lapack", "nalgebra-glm" ]
+members = [ "nalgebra-lapack", "nalgebra-glm" ]

ci/build.sh

@@ -11,7 +11,7 @@ if [ -z "$NO_STD" ]; then
         cargo build --verbose -p nalgebra --features "serde-serialize";
         cargo build --verbose -p nalgebra --features "abomonation-serialize";
         cargo build --verbose -p nalgebra --features "debug";
-        cargo build --verbose -p nalgebra --features "debug arbitrary mint serde-serialize abomonation-serialize";
+        cargo build --verbose -p nalgebra --all-features
     else
         cargo build -p nalgebra-lapack;
     fi

examples/matrix_construction.rs

@@ -51,8 +51,8 @@ fn main() {
             // Components listed column-by-column.
             1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0,
         ]
-            .iter()
-            .cloned(),
+        .iter()
+        .cloned(),
     );
 
     assert_eq!(dm, dm1);

nalgebra-glm/Cargo.toml

@@ -23,5 +23,5 @@ abomonation-serialize = [ "nalgebra/abomonation-serialize" ]
 [dependencies]
 num-traits = { version = "0.2", default-features = false }
 approx = { version = "0.3", default-features = false }
-alga = { version = "0.7", default-features = false }
+alga = { version = "0.8", default-features = false }
 nalgebra = { path =  "..", version = "^0.16.13", default-features = false }

nalgebra-glm/src/ext/matrix_transform.rs

@@ -9,7 +9,7 @@ where DefaultAllocator: Alloc<N, D, D> {
     TMat::<N, D, D>::identity()
 }
 
-/// Build a right hand look at view matrix
+/// Build a look at view matrix based on the right handedness.
 ///
 /// # Parameters:
 ///

nalgebra-glm/src/lib.rs

@@ -110,6 +110,7 @@
    and keep in mind it is possible to convert, e.g., an `Isometry3` to a `Mat4` and vice-versa (see the [conversions section](#conversions)).
 */
 
+#![doc(html_favicon_url = "http://nalgebra.org/img/favicon.ico")]
 #![cfg_attr(not(feature = "std"), no_std)]
 
 extern crate num_traits as num;

nalgebra-lapack/Cargo.toml

@@ -25,7 +25,7 @@ intel-mkl  = ["lapack-src/intel-mkl"]
 nalgebra      = { version = "0.16", path = ".." }
 num-traits    = "0.2"
 num-complex   = { version = "0.2", default-features = false }
-alga          = { version = "0.7", default-features = false }
+alga          = { version = "0.8", default-features = false }
 serde         = { version = "1.0", optional = true }
 serde_derive  = { version = "1.0", optional = true }
 lapack        = { version = "0.16", default-features = false }
@@ -34,6 +34,6 @@ lapack-src    = { version = "0.2", default-features = false }
 
 [dev-dependencies]
 nalgebra   = { version = "0.16", path = "..", features = [ "arbitrary" ] }
-quickcheck = "0.7"
+quickcheck = "0.8"
 approx     = "0.3"
 rand       = "0.6"

nalgebra-lapack/src/lib.rs

@@ -68,8 +68,10 @@
 #![deny(unused_qualifications)]
 #![deny(unused_results)]
 #![deny(missing_docs)]
-#![doc(html_favicon_url = "http://nalgebra.org/img/favicon.ico",
-       html_root_url = "http://nalgebra.org/rustdoc")]
+#![doc(
+    html_favicon_url = "http://nalgebra.org/img/favicon.ico",
+    html_root_url = "http://nalgebra.org/rustdoc"
+)]
 
 extern crate alga;
 extern crate lapack;

rustfmt.toml

@@ -1,3 +1,3 @@
 unstable_features = true
 indent_style = "Block"
-where_single_line = true
+where_single_line = true

src/base/componentwise.rs

@@ -1,4 +1,4 @@
-// Non-conventional componentwise operators.
+// Non-conventional component-wise operators.
 
 use num::{Signed, Zero};
 use std::ops::{Add, Mul};

src/base/conversion.rs

@@ -12,8 +12,10 @@ use typenum::Prod;
 use base::allocator::{Allocator, SameShapeAllocator};
 use base::constraint::{SameNumberOfColumns, SameNumberOfRows, ShapeConstraint};
 use base::dimension::{
-    Dim, DimName, Dynamic, U1, U10, U11, U12, U13, U14, U15, U16, U2, U3, U4, U5, U6, U7, U8, U9,
+    Dim, DimName, U1, U10, U11, U12, U13, U14, U15, U16, U2, U3, U4, U5, U6, U7, U8, U9,
 };
+#[cfg(any(feature = "std", feature = "alloc"))]
+use base::dimension::Dynamic;
 use base::iter::{MatrixIter, MatrixIterMut};
 use base::storage::{ContiguousStorage, ContiguousStorageMut, Storage, StorageMut};
 #[cfg(any(feature = "std", feature = "alloc"))]

src/base/dimension.rs

@@ -364,7 +364,8 @@ impl<
         G: Bit + Any + Debug + Copy + PartialEq + Send + Sync,
     > IsNotStaticOne
     for UInt<UInt<UInt<UInt<UInt<UInt<UInt<UInt<UTerm, B1>, A>, B>, C>, D>, E>, F>, G>
-{}
+{
+}
 
 impl<U: Unsigned + DimName, B: Bit + Any + Debug + Copy + PartialEq + Send + Sync> NamedDim
     for UInt<U, B>
@@ -405,4 +406,5 @@ impl<U: Unsigned + DimName, B: Bit + Any + Debug + Copy + PartialEq + Send + Syn
 
 impl<U: Unsigned + DimName, B: Bit + Any + Debug + Copy + PartialEq + Send + Sync> IsNotStaticOne
     for UInt<U, B>
-{}
+{
+}

src/base/edition.rs

@@ -1,13 +1,18 @@
 use num::{One, Zero};
 use std::cmp;
 use std::ptr;
+#[cfg(any(feature = "std", feature = "alloc"))]
 use std::iter::ExactSizeIterator;
+#[cfg(any(feature = "std", feature = "alloc"))]
+use std::mem;
 
 use base::allocator::{Allocator, Reallocator};
 use base::constraint::{DimEq, SameNumberOfColumns, SameNumberOfRows, ShapeConstraint};
 use base::dimension::{
-    Dim, DimAdd, DimDiff, DimMin, DimMinimum, DimName, DimSub, DimSum, Dynamic, U1,
+    Dim, DimAdd, DimDiff, DimMin, DimMinimum, DimName, DimSub, DimSum, U1,
 };
+#[cfg(any(feature = "std", feature = "alloc"))]
+use base::dimension::Dynamic;
 use base::storage::{Storage, StorageMut};
 #[cfg(any(feature = "std", feature = "alloc"))]
 use base::DMatrix;
@@ -35,6 +40,7 @@ impl<N: Scalar + Zero, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
     }
 
     /// Creates a new matrix by extracting the given set of rows from `self`.
+    #[cfg(any(feature = "std", feature = "alloc"))]
     pub fn select_rows<'a, I>(&self, irows: I) -> MatrixMN<N, Dynamic, C>
         where I: IntoIterator<Item = &'a usize>,
               I::IntoIter: ExactSizeIterator + Clone,
@@ -65,6 +71,7 @@ impl<N: Scalar + Zero, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
     }
 
     /// Creates a new matrix by extracting the given set of columns from `self`.
+    #[cfg(any(feature = "std", feature = "alloc"))]
     pub fn select_columns<'a, I>(&self, icols: I) -> MatrixMN<N, R, Dynamic>
         where I: IntoIterator<Item = &'a usize>,
               I::IntoIter: ExactSizeIterator,
@@ -295,6 +302,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
 
     /// Removes `n` consecutive columns from this matrix, starting with the `i`-th (included).
     #[inline]
+    #[cfg(any(feature = "std", feature = "alloc"))]
     pub fn remove_columns(self, i: usize, n: usize) -> MatrixMN<N, R, Dynamic>
     where
         C: DimSub<Dynamic, Output = Dynamic>,
@@ -377,6 +385,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
 
     /// Removes `n` consecutive rows from this matrix, starting with the `i`-th (included).
     #[inline]
+    #[cfg(any(feature = "std", feature = "alloc"))]
     pub fn remove_rows(self, i: usize, n: usize) -> MatrixMN<N, Dynamic, C>
     where
         R: DimSub<Dynamic, Output = Dynamic>,
@@ -454,6 +463,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
 
     /// Inserts `n` columns filled with `val` starting at the `i-th` position.
     #[inline]
+    #[cfg(any(feature = "std", feature = "alloc"))]
     pub fn insert_columns(self, i: usize, n: usize, val: N) -> MatrixMN<N, R, Dynamic>
     where
         C: DimAdd<Dynamic, Output = Dynamic>,
@@ -531,6 +541,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
 
     /// Inserts `n` rows filled with `val` starting at the `i-th` position.
     #[inline]
+    #[cfg(any(feature = "std", feature = "alloc"))]
     pub fn insert_rows(self, i: usize, n: usize, val: N) -> MatrixMN<N, Dynamic, C>
     where
         R: DimAdd<Dynamic, Output = Dynamic>,
@@ -596,6 +607,29 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
         self.resize_generic(Dynamic::new(new_nrows), Dynamic::new(new_ncols), val)
     }
 
+    /// Resizes this matrix vertically, i.e., so that it contains `new_nrows` rows while keeping the same number of columns.
+    ///
+    /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
+    /// rows than `self`, then the extra rows are filled with `val`.
+    #[cfg(any(feature = "std", feature = "alloc"))]
+    pub fn resize_vertically(self, new_nrows: usize, val: N) -> MatrixMN<N, Dynamic, C>
+        where DefaultAllocator: Reallocator<N, R, C, Dynamic, C> {
+        let ncols = self.data.shape().1;
+        self.resize_generic(Dynamic::new(new_nrows), ncols, val)
+    }
+
+    /// Resizes this matrix horizontally, i.e., so that it contains `new_ncolumns` columns while keeping the same number of columns.
+    ///
+    /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
+    /// columns than `self`, then the extra columns are filled with `val`.
+    #[cfg(any(feature = "std", feature = "alloc"))]
+    pub fn resize_horizontally(self, new_ncols: usize, val: N) -> MatrixMN<N, R, Dynamic>
+        where DefaultAllocator: Reallocator<N, R, C, R, Dynamic> {
+        let nrows = self.data.shape().0;
+        self.resize_generic(nrows, Dynamic::new(new_ncols), val)
+    }
+
+
     /// Resizes this matrix so that it contains `R2::value()` rows and `C2::value()` columns.
     ///
     /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
@@ -673,6 +707,61 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
     }
 }
 
+#[cfg(any(feature = "std", feature = "alloc"))]
+impl<N: Scalar> DMatrix<N> {
+    /// Resizes this matrix in-place.
+    ///
+    /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
+    /// rows and/or columns than `self`, then the extra rows or columns are filled with `val`.
+    ///
+    /// Defined only for owned fully-dynamic matrices, i.e., `DMatrix`.
+    pub fn resize_mut(&mut self, new_nrows: usize, new_ncols: usize, val: N)
+        where DefaultAllocator: Reallocator<N, Dynamic, Dynamic, Dynamic, Dynamic> {
+        let placeholder = unsafe { Self::new_uninitialized(0, 0) };
+        let old = mem::replace(self, placeholder);
+        let new = old.resize(new_nrows, new_ncols, val);
+        let _ = mem::replace(self, new);
+    }
+}
+
+#[cfg(any(feature = "std", feature = "alloc"))]
+impl<N: Scalar, C: Dim> MatrixMN<N, Dynamic, C>
+    where DefaultAllocator: Allocator<N, Dynamic, C> {
+    /// Changes the number of rows of this matrix in-place.
+    ///
+    /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
+    /// rows than `self`, then the extra rows are filled with `val`.
+    ///
+    /// Defined only for owned matrices with a dynamic number of rows (for example, `DVector`).
+    #[cfg(any(feature = "std", feature = "alloc"))]
+    pub fn resize_vertically_mut(&mut self, new_nrows: usize, val: N)
+        where DefaultAllocator: Reallocator<N, Dynamic, C, Dynamic, C> {
+        let placeholder = unsafe { Self::new_uninitialized_generic(Dynamic::new(0), self.data.shape().1) };
+        let old = mem::replace(self, placeholder);
+        let new = old.resize_vertically(new_nrows, val);
+        let _ = mem::replace(self, new);
+    }
+}
+
+#[cfg(any(feature = "std", feature = "alloc"))]
+impl<N: Scalar, R: Dim> MatrixMN<N, R, Dynamic>
+    where DefaultAllocator: Allocator<N, R, Dynamic> {
+    /// Changes the number of column of this matrix in-place.
+    ///
+    /// The values are copied such that `self[(i, j)] == result[(i, j)]`. If the result has more
+    /// columns than `self`, then the extra columns are filled with `val`.
+    ///
+    /// Defined only for owned matrices with a dynamic number of columns (for example, `DVector`).
+    #[cfg(any(feature = "std", feature = "alloc"))]
+    pub fn resize_horizontally_mut(&mut self, new_ncols: usize, val: N)
+        where DefaultAllocator: Reallocator<N, R, Dynamic, R, Dynamic> {
+        let placeholder = unsafe { Self::new_uninitialized_generic(self.data.shape().0, Dynamic::new(0)) };
+        let old = mem::replace(self, placeholder);
+        let new = old.resize_horizontally(new_ncols, val);
+        let _ = mem::replace(self, new);
+    }
+}
+
 unsafe fn compress_rows<N: Scalar>(
     data: &mut [N],
     nrows: usize,
@@ -753,6 +842,7 @@ unsafe fn extend_rows<N: Scalar>(
 
 /// Extend the number of columns of the `Matrix` with elements from
 /// a given iterator.
+#[cfg(any(feature = "std", feature = "alloc"))]
 impl<N, R, S> Extend<N> for Matrix<N, R, Dynamic, S>
 where
     N: Scalar,
@@ -800,6 +890,7 @@ where
 
 /// Extend the number of rows of the `Vector` with elements from
 /// a given iterator.
+#[cfg(any(feature = "std", feature = "alloc"))]
 impl<N, S> Extend<N> for Matrix<N, Dynamic, U1, S>
 where
     N: Scalar,
@@ -820,6 +911,7 @@ where
     }
 }
 
+#[cfg(any(feature = "std", feature = "alloc"))]
 impl<N, R, S, RV, SV> Extend<Vector<N, RV, SV>> for Matrix<N, R, Dynamic, S>
 where
     N: Scalar,

src/base/matrix_alga.rs

@@ -6,7 +6,7 @@ use num::{One, Zero};
 use alga::general::{
     AbstractGroup, AbstractGroupAbelian, AbstractLoop, AbstractMagma, AbstractModule,
     AbstractMonoid, AbstractQuasigroup, AbstractSemigroup, Additive, ClosedAdd, ClosedMul,
-    ClosedNeg, Field, Identity, Inverse, JoinSemilattice, Lattice, MeetSemilattice, Module,
+    ClosedNeg, Field, Identity, TwoSidedInverse, JoinSemilattice, Lattice, MeetSemilattice, Module,
     Multiplicative, Real, RingCommutative,
 };
 use alga::linear::{
@@ -45,18 +45,18 @@ where
     }
 }
 
-impl<N, R: DimName, C: DimName> Inverse<Additive> for MatrixMN<N, R, C>
+impl<N, R: DimName, C: DimName> TwoSidedInverse<Additive> for MatrixMN<N, R, C>
 where
     N: Scalar + ClosedNeg,
     DefaultAllocator: Allocator<N, R, C>,
 {
     #[inline]
-    fn inverse(&self) -> MatrixMN<N, R, C> {
+    fn two_sided_inverse(&self) -> MatrixMN<N, R, C> {
         -self
     }
 
     #[inline]
-    fn inverse_mut(&mut self) {
+    fn two_sided_inverse_mut(&mut self) {
         *self = -self.clone()
     }
 }