Struct rulinalg::matrix::Matrix

pub struct Matrix<T> {
    // some fields omitted
}

The Matrix struct.

Can be instantiated with any type.

Methods

impl<T: Any + Float> Matrix<T>

fn cholesky(&self) -> Result<Matrix<T>, Error>

Cholesky decomposition

Returns the cholesky decomposition of a positive definite matrix.

Examples

use rulinalg::matrix::Matrix;

let m = Matrix::new(3,3, vec![1.0,0.5,0.5,0.5,1.0,0.5,0.5,0.5,1.0]);

let l = m.cholesky();

Panics

• The matrix is not square.

Failures

• Matrix is not positive definite.

fn qr_decomp(self) -> Result<(Matrix<T>, Matrix<T>), Error>

Compute the QR decomposition of the matrix.

Returns the tuple (Q,R).

Examples

use rulinalg::matrix::Matrix;

let m = Matrix::new(3,3, vec![1.0,0.5,0.5,0.5,1.0,0.5,0.5,0.5,1.0]);

let (q, r) = m.qr_decomp().unwrap();

Failures

• Cannot compute the QR decomposition.

fn bidiagonal_decomp(self) -> Result<(Matrix<T>, Matrix<T>, Matrix<T>), Error>

Converts matrix to bidiagonal form

Returns (B, U, V), where B is bidiagonal and self = U B V_T.

Note that if self has self.rows() > self.cols() the matrix will be transposed and then reduced - this will lead to a sub-diagonal instead of super-diagonal.

Failures

• The matrix cannot be reduced to bidiagonal form.

impl<T: Any + Float + Signed> Matrix<T>

fn svd(self) -> Result<(Matrix<T>, Matrix<T>, Matrix<T>), Error>

Singular Value Decomposition

Computes the SVD using Golub-Reinsch algorithm.

Returns Σ, U, V where self = U Σ V^T.

Failures

This function may fail in some cases. The current decomposition whilst being efficient is fairly basic. Hopefully the algorithm can be made not to fail in the near future.

fn upper_hessenberg(self) -> Result<Matrix<T>, Error>

Returns H, where H is the upper hessenberg form.

If the transformation matrix is also required, you should use upper_hess_decomp.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(4,4,vec![2.,0.,1.,1.,2.,0.,1.,2.,1.,2.,0.,0.,2.,0.,1.,1.]);
let h = a.upper_hessenberg();

println!("{:?}", h.expect("Could not get upper Hessenberg form.").data());

Panics

• The matrix is not square.

Failures

• The matrix cannot be reduced to upper hessenberg form.

fn upper_hess_decomp(self) -> Result<(Matrix<T>, Matrix<T>), Error>

Returns (U,H), where H is the upper hessenberg form and U is the unitary transform matrix.

Note: The current transform matrix seems broken...

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(3,3,vec![1.,2.,3.,4.,5.,6.,7.,8.,9.]);

// u is the transform, h is the upper hessenberg form.
let (u,h) = a.clone().upper_hess_decomp().expect("This matrix should decompose!");

println!("The hess : {:?}", h.data());
println!("Manual hess : {:?}", (u.transpose() * a * u).data());

Panics

• The matrix is not square.

Failures

• The matrix cannot be reduced to upper hessenberg form.

fn eigenvalues(&self) -> Result<Vec<T>, Error>

Eigenvalues of a square matrix.

Returns a Vec of eigenvalues.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(4,4, (1..17).map(|v| v as f64).collect::<Vec<f64>>());
let e = a.eigenvalues().expect("We should be able to compute these eigenvalues!");
println!("{:?}", e);

Panics

• The matrix is not square.

Failures

• Eigenvalues cannot be computed.

fn eigendecomp(&self) -> Result<(Vec<T>, Matrix<T>), Error>

Eigendecomposition of a square matrix.

Returns a Vec of eigenvalues, and a matrix with eigenvectors as the columns.

The eigenvectors are only gauranteed to be correct if the matrix is real-symmetric.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(3,3,vec![3.,2.,4.,2.,0.,2.,4.,2.,3.]);

let (e, m) = a.eigendecomp().expect("We should be able to compute this eigendecomp!");
println!("{:?}", e);
println!("{:?}", m.data());

Panics

• The matrix is not square.

Failures

• The eigen decomposition can not be computed.

impl<T> Matrix<T> where T: Any + Copy + One + Zero + Neg<Output=T> + Add<T, Output=T> + Mul<T, Output=T> + Sub<T, Output=T> + Div<T, Output=T> + PartialOrd

fn lup_decomp(&self) -> Result<(Matrix<T>, Matrix<T>, Matrix<T>), Error>

Computes L, U, and P for LUP decomposition.

Returns L,U, and P respectively.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(3,3, vec![1.0,2.0,0.0,
                              0.0,3.0,4.0,
                              5.0, 1.0, 2.0]);

let (l,u,p) = a.lup_decomp().expect("This matrix should decompose!");

Panics

• Matrix is not square.

Failures

• Matrix cannot be LUP decomposed.

impl<T> Matrix<T>

fn iter_rows(&self) -> Rows<T>

Iterate over the rows of the matrix.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(3, 2, (0..6).collect::<Vec<usize>>());

// Prints "2" three times.
for row in a.iter_rows() {
    println!("{}", row.len());
}

fn iter_rows_mut(&mut self) -> RowsMut<T>

Iterate over the mutable rows of the matrix.

Examples

use rulinalg::matrix::Matrix;

let mut a = Matrix::new(3, 2, (0..6).collect::<Vec<usize>>());

for row in a.iter_rows_mut() {
    for r in row {
        *r = *r + 1;
    }
}

// Now contains the range 1..7
println!("{}", a);

impl<T> Matrix<T>

fn new<U: Into<Vec<T>>>(rows: usize, cols: usize, data: U) -> Matrix<T>

Constructor for Matrix struct.

Requires both the row and column dimensions.

Examples

use rulinalg::matrix::Matrix;

let mat = Matrix::new(2,2, vec![1.0,2.0,3.0,4.0]);

assert_eq!(mat.rows(), 2);
assert_eq!(mat.cols(), 2);

Panics

• The input data does not match the given dimensions.

fn rows(&self) -> usize

Returns the number of rows in the Matrix.

fn cols(&self) -> usize

Returns the number of columns in the Matrix.

fn row_stride(&self) -> usize

Returns the row-stride of the matrix. This is simply its column count.

fn data(&self) -> &Vec<T>

Returns a non-mutable reference to the underlying data.

fn mut_data(&mut self) -> &mut [T]

Returns a mutable slice of the underlying data.

unsafe fn get_unchecked(&self, index: [usize; 2]) -> &T

Get a reference to a point in the matrix without bounds checks.

unsafe fn get_unchecked_mut(&mut self, index: [usize; 2]) -> &mut T

Get a mutable reference to a point in the matrix without bounds checks.

fn as_ptr(&self) -> *const T

Returns pointer to first element of underlying data.

fn into_vec(self) -> Vec<T>

Consumes the Matrix and returns the Vec of data.

fn split_at(&self, mid: usize, axis: Axes) -> (MatrixSlice<T>, MatrixSlice<T>)

Split the matrix at the specified axis returning two MatrixSlices.

Examples

use rulinalg::matrix::Matrix;
use rulinalg::matrix::Axes;

let a = Matrix::new(3,3, vec![2.0; 9]);
let (b,c) = a.split_at(1, Axes::Row);

fn split_at_mut(&mut self, mid: usize, axis: Axes) -> (MatrixSliceMut<T>, MatrixSliceMut<T>)

Split the matrix at the specified axis returning two MatrixSlices.

Examples

use rulinalg::matrix::Matrix;
use rulinalg::matrix::Axes;

let mut a = Matrix::new(3,3, vec![2.0; 9]);
let (b,c) = a.split_at_mut(1, Axes::Col);

fn as_slice(&self) -> MatrixSlice<T>

Returns a MatrixSlice over the whole matrix.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(3, 3, vec![2.0; 9]);
let b = a.as_slice();

fn as_mut_slice(&mut self) -> MatrixSliceMut<T>

Returns a mutable MatrixSlice over the whole matrix.

Examples

use rulinalg::matrix::Matrix;

let mut a = Matrix::new(3, 3, vec![2.0; 9]);
let b = a.as_mut_slice();

fn get_row(&self, index: usize) -> Option<&[T]>

Returns the row of a Matrix at the given index. None if the index is out of bounds.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(3, 4, vec![2.0; 12]);
let row = a.get_row(1);
let expected = vec![2.0; 4];
assert_eq!(row, Some(&*expected));
assert!(a.get_row(5).is_none());

unsafe fn get_row_unchecked(&self, index: usize) -> &[T]

Returns the row of a Matrix at the given index without doing unbounds checking

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(3, 4, vec![2.0; 12]);
let row = unsafe { a.get_row_unchecked(1) };
let expected = vec![2.0; 4];
assert_eq!(row, &*expected);

fn get_row_mut(&mut self, index: usize) -> Option<&mut [T]>

Returns a mutable reference to the row of a Matrix at the given index. None if the index is out of bounds.

Examples

use rulinalg::matrix::Matrix;

let mut a = Matrix::new(3, 4, vec![2.0; 12]);
{
    let row = a.get_row_mut(1);
    let mut expected = vec![2.0; 4];
    assert_eq!(row, Some(&mut *expected));
}
assert!(a.get_row_mut(5).is_none());

unsafe fn get_row_unchecked_mut(&mut self, index: usize) -> &mut [T]

Returns a mutable reference to the row of a Matrix at the given index without doing unbounds checking

Examples

use rulinalg::matrix::Matrix;

let mut a = Matrix::new(3, 4, vec![2.0; 12]);
let row = unsafe { a.get_row_unchecked_mut(1) };
let mut expected = vec![2.0; 4];
assert_eq!(row, &mut *expected);

impl<T: Copy> Matrix<T>

fn select_rows(&self, rows: &[usize]) -> Matrix<T>

Select rows from matrix

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::<f64>::ones(3,3);

let b = &a.select_rows(&[2]);
assert_eq!(b.rows(), 1);
assert_eq!(b.cols(), 3);

let c = &a.select_rows(&[1,2]);
assert_eq!(c.rows(), 2);
assert_eq!(c.cols(), 3);

Panics

• Panics if row indices exceed the matrix dimensions.

fn select_cols(&self, cols: &[usize]) -> Matrix<T>

Select columns from matrix

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::<f64>::ones(3,3);
let b = &a.select_cols(&[2]);
assert_eq!(b.rows(), 3);
assert_eq!(b.cols(), 1);

let c = &a.select_cols(&[1,2]);
assert_eq!(c.rows(), 3);
assert_eq!(c.cols(), 2);

Panics

• Panics if column indices exceed the matrix dimensions.

fn select(&self, rows: &[usize], cols: &[usize]) -> Matrix<T>

Select block matrix from matrix

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::<f64>::identity(3);
let b = &a.select(&[0,1], &[1,2]);

// We get the 2x2 block matrix in the upper right corner.
assert_eq!(b.rows(), 2);
assert_eq!(b.cols(), 2);

// Prints [0,0,1,0]
println!("{:?}", b.data());

Panics

• Panics if row or column indices exceed the matrix dimensions.

fn hcat(&self, m: &Matrix<T>) -> Matrix<T>

Horizontally concatenates two matrices. With self on the left.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(3,2, vec![1.0,2.0,3.0,4.0,5.0,6.0]);
let b = Matrix::new(3,1, vec![4.0,5.0,6.0]);

let c = &a.hcat(&b);
assert_eq!(c.cols(), a.cols() + b.cols());
assert_eq!(c[[1, 2]], 5.0);

Panics

• Self and m have different row counts.

fn vcat(&self, m: &Matrix<T>) -> Matrix<T>

Vertically concatenates two matrices. With self on top.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(2,3, vec![1.0,2.0,3.0,4.0,5.0,6.0]);
let b = Matrix::new(1,3, vec![4.0,5.0,6.0]);

let c = &a.vcat(&b);
assert_eq!(c.rows(), a.rows() + b.rows());
assert_eq!(c[[2, 2]], 6.0);

Panics

• Self and m have different column counts.

fn diag(&self) -> Vector<T>

Extract the diagonal of the matrix

Examples

use rulinalg::matrix::Matrix;
use rulinalg::vector::Vector;

let a = Matrix::new(3,3,vec![1,2,3,4,5,6,7,8,9]);
let b = Matrix::new(3,2,vec![1,2,3,4,5,6]);
let c = Matrix::new(2,3,vec![1,2,3,4,5,6]);

let d = &a.diag(); // 1,5,9
let e = &b.diag(); // 1,4
let f = &c.diag(); // 1,5

assert_eq!(*d.data(), vec![1,5,9]);
assert_eq!(*e.data(), vec![1,4]);
assert_eq!(*f.data(), vec![1,5]);

fn apply(self, f: &Fn(T) -> T) -> Matrix<T>

Applies a function to each element in the matrix.

Examples

use rulinalg::matrix::Matrix;
fn add_two(a: f64) -> f64 {
    a + 2f64
}

let a = Matrix::new(2, 2, vec![0.;4]);

let b = a.apply(&add_two);

assert_eq!(*b.data(), vec![2.0; 4]);

fn transpose(&self) -> Matrix<T>

Tranposes the given matrix

Examples

use rulinalg::matrix::Matrix;

let mat = Matrix::new(2,3, vec![1.0,2.0,3.0,4.0,5.0,6.0]);

let mt = mat.transpose();

impl<T: Clone + Zero> Matrix<T>

fn zeros(rows: usize, cols: usize) -> Matrix<T>

Constructs matrix of all zeros.

Requires both the row and the column dimensions.

Examples

use rulinalg::matrix::Matrix;

let mat = Matrix::<f64>::zeros(2,3);

fn from_diag(diag: &[T]) -> Matrix<T>

Constructs matrix with given diagonal.

Requires slice of diagonal elements.

Examples

use rulinalg::matrix::Matrix;

let mat = Matrix::from_diag(&vec![1.0,2.0,3.0,4.0]);

impl<T: Clone + One> Matrix<T>

fn ones(rows: usize, cols: usize) -> Matrix<T>

Constructs matrix of all ones.

Requires both the row and the column dimensions.

Examples

use rulinalg::matrix::Matrix;

let mat = Matrix::<f64>::ones(2,3);

impl<T: Clone + Zero + One> Matrix<T>

fn identity(size: usize) -> Matrix<T>

Constructs the identity matrix.

Requires the size of the matrix.

Examples

use rulinalg::matrix::Matrix;

let I = Matrix::<f64>::identity(4);

impl<T: Copy + Zero + One + PartialEq> Matrix<T>

fn is_diag(&self) -> bool

Checks if matrix is diagonal.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(2,2, vec![1.0,0.0,0.0,1.0]);
let a_diag = a.is_diag();

assert_eq!(a_diag, true);

let b = Matrix::new(2,2, vec![1.0,0.0,1.0,0.0]);
let b_diag = b.is_diag();

assert_eq!(b_diag, false);

impl<T: Copy + Zero + Add<T, Output=T>> Matrix<T>

fn sum_rows(&self) -> Vector<T>

The sum of the rows of the matrix.

Returns a Vector equal to the sum of the matrices rows.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(2,2,vec![1.0,2.0,3.0,4.0]);

let c = a.sum_rows();
assert_eq!(*c.data(), vec![4.0, 6.0]);

fn sum_cols(&self) -> Vector<T>

The sum of the columns of the matrix.

Returns a Vector equal to the sum of the matrices columns.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(2,2,vec![1.0,2.0,3.0,4.0]);

let c = a.sum_cols();
assert_eq!(*c.data(), vec![3.0, 7.0]);

fn sum(&self) -> T

The sum of all elements in the matrix

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(2,2,vec![1.0,2.0,3.0,4.0]);

let c = a.sum();
assert_eq!(c, 10.0);

impl<T: Copy + Mul<T, Output=T>> Matrix<T>

fn elemul(&self, m: &Matrix<T>) -> Matrix<T>

The elementwise product of two matrices.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(2,2,vec![1.0,2.0,3.0,4.0]);
let b = Matrix::new(2,2,vec![1.0,2.0,3.0,4.0]);

let c = &a.elemul(&b);
assert_eq!(*c.data(), vec![1.0, 4.0, 9.0, 16.0]);

Panics

• The matrices have different row counts.
• The matrices have different column counts.

impl<T: Copy + Div<T, Output=T>> Matrix<T>

fn elediv(&self, m: &Matrix<T>) -> Matrix<T>

The elementwise division of two matrices.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(2,2,vec![1.0,2.0,3.0,4.0]);
let b = Matrix::new(2,2,vec![1.0,2.0,3.0,4.0]);

let c = &a.elediv(&b);
assert_eq!(*c.data(), vec![1.0; 4]);

Panics

• The matrices have different row counts.
• The matrices have different column counts.

impl<T: Float + FromPrimitive> Matrix<T>

fn mean(&self, axis: Axes) -> Vector<T>

The mean of the matrix along the specified axis.

Axis Row - Arithmetic mean of rows. Axis Col - Arithmetic mean of columns.

Examples

use rulinalg::matrix::{Matrix, Axes};

let a = Matrix::<f64>::new(2,2, vec![1.0,2.0,3.0,4.0]);

let c = a.mean(Axes::Row);
assert_eq!(*c.data(), vec![2.0, 3.0]);

let d = a.mean(Axes::Col);
assert_eq!(*d.data(), vec![1.5, 3.5]);

fn variance(&self, axis: Axes) -> Vector<T>

The variance of the matrix along the specified axis.

Axis Row - Sample variance of rows. Axis Col - Sample variance of columns.

Examples

use rulinalg::matrix::{Matrix, Axes};

let a = Matrix::<f32>::new(2,2,vec![1.0,2.0,3.0,4.0]);

let c = a.variance(Axes::Row);
assert_eq!(*c.data(), vec![2.0, 2.0]);

let d = a.variance(Axes::Col);
assert_eq!(*d.data(), vec![0.5, 0.5]);

impl<T: Any + Float> Matrix<T>

fn solve_u_triangular(&self, y: Vector<T>) -> Result<Vector<T>, Error>

Solves an upper triangular linear system.

Given a matrix U, which is upper triangular, and a vector y, this function returns x such that Ux = y.

Examples

use rulinalg::matrix::Matrix;
use rulinalg::vector::Vector;
use std::f32;

let u = Matrix::new(2,2, vec![1.0, 2.0, 0.0, 1.0]);
let y = Vector::new(vec![3.0, 1.0]);

let x = u.solve_u_triangular(y).expect("A solution should exist!");
assert!((x[0] - 1.0) < f32::EPSILON);
assert!((x[1] - 1.0) < f32::EPSILON);

Panics

• Vector size and matrix column count are not equal.
• Matrix is not upper triangular.

Failures

Fails if there is no valid solution to the system (matrix is singular).

fn solve_l_triangular(&self, y: Vector<T>) -> Result<Vector<T>, Error>

Solves a lower triangular linear system.

Given a matrix L, which is lower triangular, and a vector y, this function returns x such that Lx = y.

Examples

use rulinalg::matrix::Matrix;
use rulinalg::vector::Vector;
use std::f32;

let l = Matrix::new(2,2, vec![1.0, 0.0, 2.0, 1.0]);
let y = Vector::new(vec![1.0, 3.0]);

let x = l.solve_l_triangular(y).expect("A solution should exist!");
println!("{:?}", x);
assert!((x[0] - 1.0) < f32::EPSILON);
assert!((x[1] - 1.0) < f32::EPSILON);

Panics

• Vector size and matrix column count are not equal.
• Matrix is not lower triangular.

Failures

Fails if there is no valid solution to the system (matrix is singular).

fn solve(&self, y: Vector<T>) -> Result<Vector<T>, Error>

Solves the equation Ax = y.

Requires a Vector y as input.

Examples

use rulinalg::matrix::Matrix;
use rulinalg::vector::Vector;

let a = Matrix::new(2,2, vec![2.0,3.0,1.0,2.0]);
let y = Vector::new(vec![13.0,8.0]);

let x = a.solve(y).unwrap();

assert_eq!(*x.data(), vec![2.0, 3.0]);

Panics

• The matrix column count and vector size are different.
• The matrix is not square.

Failures

• The matrix cannot be decomposed into an LUP form to solve.
• There is no valid solution as the matrix is singular.

fn inverse(&self) -> Result<Matrix<T>, Error>

Computes the inverse of the matrix.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(2,2, vec![2.,3.,1.,2.]);
let inv = a.inverse().expect("This matrix should have an inverse!");

let I = a * inv;

assert_eq!(*I.data(), vec![1.0,0.0,0.0,1.0]);

Panics

• The matrix is not square.

Failures

• The matrix could not be LUP decomposed.
• The matrix has zero determinant.

fn det(&self) -> T

Computes the determinant of the matrix.

Examples

use rulinalg::matrix::Matrix;

let a = Matrix::new(3,3, vec![1.0,2.0,0.0,
                              0.0,3.0,4.0,
                              5.0, 1.0, 2.0]);

let det = a.det();

Panics

• The matrix is not square.

Trait Implementations

impl<T> Index<[usize; 2]> for Matrix<T>

Indexes matrix.

Takes row index first then column.

type Output = T

The returned type after indexing

fn index(&self, idx: [usize; 2]) -> &T

The method for the indexing (Foo[Bar]) operation

impl<T> IndexMut<[usize; 2]> for Matrix<T>

Indexes mutable matrix.

Takes row index first then column.

fn index_mut(&mut self, idx: [usize; 2]) -> &mut T

The method for the indexing (Foo[Bar]) operation

impl<T: Copy + Add<T, Output=T>> Add<T> for Matrix<T>

Scalar addition with matrix.

Will reuse the memory allocated for the existing matrix.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, f: T) -> Matrix<T>

The method for the + operator

impl<'a, T: Copy + Add<T, Output=T>> Add<&'a T> for Matrix<T>

Scalar addition with matrix.

Will reuse the memory allocated for the existing matrix.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, f: &T) -> Matrix<T>

The method for the + operator

impl<'a, T: Copy + Add<T, Output=T>> Add<T> for &'a Matrix<T>

Scalar addition with matrix.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, f: T) -> Matrix<T>

The method for the + operator

impl<'a, 'b, T: Copy + Add<T, Output=T>> Add<&'b T> for &'a Matrix<T>

Scalar addition with matrix.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, f: &T) -> Matrix<T>

The method for the + operator

impl<T: Copy + Mul<T, Output=T>> Mul<T> for Matrix<T>

Scalar multiplication with matrix.

Will reuse the memory allocated for the existing matrix.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, f: T) -> Matrix<T>

The method for the * operator

impl<'a, T: Copy + Mul<T, Output=T>> Mul<&'a T> for Matrix<T>

Scalar multiplication with matrix.

Will reuse the memory allocated for the existing matrix.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, f: &T) -> Matrix<T>

The method for the * operator

impl<'a, T: Copy + Mul<T, Output=T>> Mul<T> for &'a Matrix<T>

Scalar multiplication with matrix.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, f: T) -> Matrix<T>

The method for the * operator

impl<'a, 'b, T: Copy + Mul<T, Output=T>> Mul<&'b T> for &'a Matrix<T>

Scalar multiplication with matrix.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, f: &T) -> Matrix<T>

The method for the * operator

impl<T: Copy + Sub<T, Output=T>> Sub<T> for Matrix<T>

Scalar subtraction with matrix.

Will reuse the memory allocated for the existing matrix.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, f: T) -> Matrix<T>

The method for the - operator

impl<'a, T: Copy + Sub<T, Output=T>> Sub<&'a T> for Matrix<T>

Scalar subtraction with matrix.

Will reuse the memory allocated for the existing matrix.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, f: &T) -> Matrix<T>

The method for the - operator

impl<'a, T: Copy + Sub<T, Output=T>> Sub<T> for &'a Matrix<T>

Scalar subtraction with matrix.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, f: T) -> Matrix<T>

The method for the - operator

impl<'a, 'b, T: Copy + Sub<T, Output=T>> Sub<&'b T> for &'a Matrix<T>

Scalar subtraction with matrix.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, f: &T) -> Matrix<T>

The method for the - operator

impl<T: Copy + Div<T, Output=T>> Div<T> for Matrix<T>

Scalar division with matrix.

Will reuse the memory allocated for the existing matrix.

type Output = Matrix<T>

The resulting type after applying the / operator

fn div(self, f: T) -> Matrix<T>

The method for the / operator

impl<'a, T: Copy + Div<T, Output=T>> Div<&'a T> for Matrix<T>

Scalar division with matrix.

Will reuse the memory allocated for the existing matrix.

type Output = Matrix<T>

The resulting type after applying the / operator

fn div(self, f: &T) -> Matrix<T>

The method for the / operator

impl<'a, T: Copy + Div<T, Output=T>> Div<T> for &'a Matrix<T>

Scalar division with matrix.

type Output = Matrix<T>

The resulting type after applying the / operator

fn div(self, f: T) -> Matrix<T>

The method for the / operator

impl<'a, 'b, T: Copy + Div<T, Output=T>> Div<&'b T> for &'a Matrix<T>

Scalar division with matrix.

type Output = Matrix<T>

The resulting type after applying the / operator

fn div(self, f: &T) -> Matrix<T>

The method for the / operator

impl<T> Mul<Vector<T>> for Matrix<T> where T: Copy + Zero + Mul<T, Output=T> + Add<T, Output=T>

Multiplies matrix by vector.

type Output = Vector<T>

The resulting type after applying the * operator

fn mul(self, m: Vector<T>) -> Vector<T>

The method for the * operator

impl<'a, T> Mul<Vector<T>> for &'a Matrix<T> where T: Copy + Zero + Mul<T, Output=T> + Add<T, Output=T>

Multiplies matrix by vector.

type Output = Vector<T>

The resulting type after applying the * operator

fn mul(self, m: Vector<T>) -> Vector<T>

The method for the * operator

impl<'a, T> Mul<&'a Vector<T>> for Matrix<T> where T: Copy + Zero + Mul<T, Output=T> + Add<T, Output=T>

Multiplies matrix by vector.

type Output = Vector<T>

The resulting type after applying the * operator

fn mul(self, m: &Vector<T>) -> Vector<T>

The method for the * operator

impl<'a, 'b, T> Mul<&'b Vector<T>> for &'a Matrix<T> where T: Copy + Zero + Mul<T, Output=T> + Add<T, Output=T>

Multiplies matrix by vector.

type Output = Vector<T>

The resulting type after applying the * operator

fn mul(self, v: &Vector<T>) -> Vector<T>

The method for the * operator

impl<'a, T: Copy + Add<T, Output=T>> Add<MatrixSlice<'a, T>> for Matrix<T>

Performs elementwise addition between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, s: MatrixSlice<T>) -> Matrix<T>

The method for the + operator

impl<'a, 'b, T: Copy + Add<T, Output=T>> Add<MatrixSlice<'a, T>> for &'b Matrix<T>

Performs elementwise addition between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, s: MatrixSlice<T>) -> Matrix<T>

The method for the + operator

impl<'a, 'b, T: Copy + Add<T, Output=T>> Add<&'b MatrixSlice<'a, T>> for Matrix<T>

Performs elementwise addition between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, s: &MatrixSlice<T>) -> Matrix<T>

The method for the + operator

impl<'a, 'b, 'c, T: Copy + Add<T, Output=T>> Add<&'c MatrixSlice<'a, T>> for &'b Matrix<T>

Performs elementwise addition between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, s: &MatrixSlice<T>) -> Matrix<T>

The method for the + operator

impl<'a, T: Copy + Add<T, Output=T>> Add<MatrixSliceMut<'a, T>> for Matrix<T>

Performs elementwise addition between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, s: MatrixSliceMut<T>) -> Matrix<T>

The method for the + operator

impl<'a, 'b, T: Copy + Add<T, Output=T>> Add<MatrixSliceMut<'a, T>> for &'b Matrix<T>

Performs elementwise addition between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, s: MatrixSliceMut<T>) -> Matrix<T>

The method for the + operator

impl<'a, 'b, T: Copy + Add<T, Output=T>> Add<&'b MatrixSliceMut<'a, T>> for Matrix<T>

Performs elementwise addition between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, s: &MatrixSliceMut<T>) -> Matrix<T>

The method for the + operator

impl<'a, 'b, 'c, T: Copy + Add<T, Output=T>> Add<&'c MatrixSliceMut<'a, T>> for &'b Matrix<T>

Performs elementwise addition between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, s: &MatrixSliceMut<T>) -> Matrix<T>

The method for the + operator

impl<'a, T: Copy + Sub<T, Output=T>> Sub<MatrixSlice<'a, T>> for Matrix<T>

Performs elementwise subtraction between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, s: MatrixSlice<T>) -> Matrix<T>

The method for the - operator

impl<'a, 'b, T: Copy + Sub<T, Output=T>> Sub<MatrixSlice<'a, T>> for &'b Matrix<T>

Performs elementwise subtraction between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, s: MatrixSlice<T>) -> Matrix<T>

The method for the - operator

impl<'a, 'b, T: Copy + Sub<T, Output=T>> Sub<&'b MatrixSlice<'a, T>> for Matrix<T>

Performs elementwise subtraction between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, s: &MatrixSlice<T>) -> Matrix<T>

The method for the - operator

impl<'a, 'b, 'c, T: Copy + Sub<T, Output=T>> Sub<&'c MatrixSlice<'a, T>> for &'b Matrix<T>

Performs elementwise subtraction between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, s: &MatrixSlice<T>) -> Matrix<T>

The method for the - operator

impl<'a, T: Copy + Sub<T, Output=T>> Sub<MatrixSliceMut<'a, T>> for Matrix<T>

Performs elementwise subtraction between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, s: MatrixSliceMut<T>) -> Matrix<T>

The method for the - operator

impl<'a, 'b, T: Copy + Sub<T, Output=T>> Sub<MatrixSliceMut<'a, T>> for &'b Matrix<T>

Performs elementwise subtraction between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, s: MatrixSliceMut<T>) -> Matrix<T>

The method for the - operator

impl<'a, 'b, T: Copy + Sub<T, Output=T>> Sub<&'b MatrixSliceMut<'a, T>> for Matrix<T>

Performs elementwise subtraction between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, s: &MatrixSliceMut<T>) -> Matrix<T>

The method for the - operator

impl<'a, 'b, 'c, T: Copy + Sub<T, Output=T>> Sub<&'c MatrixSliceMut<'a, T>> for &'b Matrix<T>

Performs elementwise subtraction between Matrix and MatrixSlice.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, s: &MatrixSliceMut<T>) -> Matrix<T>

The method for the - operator

impl<T: Copy + Add<T, Output=T>> Add<Matrix<T>> for Matrix<T>

Performs elementwise addition between two matrices.

This will reuse allocated memory from self.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, m: Matrix<T>) -> Matrix<T>

The method for the + operator

impl<'a, T: Copy + Add<T, Output=T>> Add<Matrix<T>> for &'a Matrix<T>

Performs elementwise addition between two matrices.

This will reuse allocated memory from m.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, m: Matrix<T>) -> Matrix<T>

The method for the + operator

impl<'a, T: Copy + Add<T, Output=T>> Add<&'a Matrix<T>> for Matrix<T>

Performs elementwise addition between two matrices.

This will reuse allocated memory from self.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, m: &Matrix<T>) -> Matrix<T>

The method for the + operator

impl<'a, 'b, T: Copy + Add<T, Output=T>> Add<&'b Matrix<T>> for &'a Matrix<T>

Performs elementwise addition between two matrices.

type Output = Matrix<T>

The resulting type after applying the + operator

fn add(self, m: &Matrix<T>) -> Matrix<T>

The method for the + operator

impl<T: Copy + Sub<T, Output=T>> Sub<Matrix<T>> for Matrix<T>

Performs elementwise subtraction between two matrices.

This will reuse allocated memory from self.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, m: Matrix<T>) -> Matrix<T>

The method for the - operator

impl<'a, T: Copy + Sub<T, Output=T>> Sub<Matrix<T>> for &'a Matrix<T>

Performs elementwise subtraction between two matrices.

This will reuse allocated memory from m.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, m: Matrix<T>) -> Matrix<T>

The method for the - operator

impl<'a, T: Copy + Sub<T, Output=T>> Sub<&'a Matrix<T>> for Matrix<T>

Performs elementwise subtraction between two matrices.

This will reuse allocated memory from self.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, m: &Matrix<T>) -> Matrix<T>

The method for the - operator

impl<'a, 'b, T: Copy + Sub<T, Output=T>> Sub<&'b Matrix<T>> for &'a Matrix<T>

Performs elementwise subtraction between two matrices.

type Output = Matrix<T>

The resulting type after applying the - operator

fn sub(self, m: &Matrix<T>) -> Matrix<T>

The method for the - operator

impl<T: Copy + Add<T, Output=T>> AddAssign<T> for Matrix<T>

Performs addition assignment between a matrix and a scalar.

fn add_assign(&mut self, _rhs: T)

The method for the += operator

impl<'a, T: Copy + Add<T, Output=T>> AddAssign<&'a T> for Matrix<T>

Performs addition assignment between a matrix and a scalar.

fn add_assign(&mut self, _rhs: &T)

The method for the += operator

impl<T: Copy + Sub<T, Output=T>> SubAssign<T> for Matrix<T>

Performs subtraction assignment between a matrix and a scalar.

fn sub_assign(&mut self, _rhs: T)

The method for the -= operator

impl<'a, T: Copy + Sub<T, Output=T>> SubAssign<&'a T> for Matrix<T>

Performs subtraction assignment between a matrix and a scalar.

fn sub_assign(&mut self, _rhs: &T)

The method for the -= operator

impl<T: Copy + Div<T, Output=T>> DivAssign<T> for Matrix<T>

Performs division assignment between a matrix and a scalar.

fn div_assign(&mut self, _rhs: T)

The method for the /= operator

impl<'a, T: Copy + Div<T, Output=T>> DivAssign<&'a T> for Matrix<T>

Performs division assignment between a matrix and a scalar.

fn div_assign(&mut self, _rhs: &T)

The method for the /= operator

impl<T: Copy + Mul<T, Output=T>> MulAssign<T> for Matrix<T>

Performs multiplication assignment between a matrix and a scalar.

fn mul_assign(&mut self, _rhs: T)

The method for the *= operator

impl<'a, T: Copy + Mul<T, Output=T>> MulAssign<&'a T> for Matrix<T>

Performs multiplication assignment between a matrix and a scalar.

fn mul_assign(&mut self, _rhs: &T)

The method for the *= operator

impl<T: Copy + Add<T, Output=T>> AddAssign<Matrix<T>> for Matrix<T>

Performs elementwise addition assignment between two matrices.

fn add_assign(&mut self, _rhs: Matrix<T>)

The method for the += operator

impl<'a, T: Copy + Add<T, Output=T>> AddAssign<&'a Matrix<T>> for Matrix<T>

Performs elementwise addition assignment between two matrices.

fn add_assign(&mut self, _rhs: &Matrix<T>)

The method for the += operator

impl<T: Copy + Sub<T, Output=T>> SubAssign<Matrix<T>> for Matrix<T>

Performs elementwise subtraction assignment between two matrices.

fn sub_assign(&mut self, _rhs: Matrix<T>)

The method for the -= operator

impl<'a, T: Copy + Sub<T, Output=T>> SubAssign<&'a Matrix<T>> for Matrix<T>

Performs elementwise subtraction assignment between two matrices.

fn sub_assign(&mut self, _rhs: &Matrix<T>)

The method for the -= operator

impl<'a, T: Copy + Add<T, Output=T>> AddAssign<MatrixSlice<'a, T>> for Matrix<T>

Performs elementwise addition assignment between two matrices.

fn add_assign(&mut self, _rhs: MatrixSlice<T>)

The method for the += operator

impl<'a, 'b, T: Copy + Add<T, Output=T>> AddAssign<&'b MatrixSlice<'a, T>> for Matrix<T>

Performs elementwise addition assignment between two matrices.

fn add_assign(&mut self, _rhs: &MatrixSlice<T>)

The method for the += operator

impl<'a, T: Copy + Sub<T, Output=T>> SubAssign<MatrixSlice<'a, T>> for Matrix<T>

Performs elementwise subtraction assignment between two matrices.

fn sub_assign(&mut self, _rhs: MatrixSlice<T>)

The method for the -= operator

impl<'a, 'b, T: Copy + Sub<T, Output=T>> SubAssign<&'b MatrixSlice<'a, T>> for Matrix<T>

Performs elementwise subtraction assignment between two matrices.

fn sub_assign(&mut self, _rhs: &MatrixSlice<T>)

The method for the -= operator

impl<'a, T: Copy + Add<T, Output=T>> AddAssign<MatrixSliceMut<'a, T>> for Matrix<T>

Performs elementwise addition assignment between two matrices.

fn add_assign(&mut self, _rhs: MatrixSliceMut<T>)

The method for the += operator

impl<'a, 'b, T: Copy + Add<T, Output=T>> AddAssign<&'b MatrixSliceMut<'a, T>> for Matrix<T>

Performs elementwise addition assignment between two matrices.

fn add_assign(&mut self, _rhs: &MatrixSliceMut<T>)

The method for the += operator

impl<'a, T: Copy + Sub<T, Output=T>> SubAssign<MatrixSliceMut<'a, T>> for Matrix<T>

Performs elementwise subtraction assignment between two matrices.

fn sub_assign(&mut self, _rhs: MatrixSliceMut<T>)

The method for the -= operator

impl<'a, 'b, T: Copy + Sub<T, Output=T>> SubAssign<&'b MatrixSliceMut<'a, T>> for Matrix<T>

Performs elementwise subtraction assignment between two matrices.

fn sub_assign(&mut self, _rhs: &MatrixSliceMut<T>)

The method for the -= operator

impl<T: Neg<Output=T> + Copy> Neg for Matrix<T>

Gets negative of matrix.

type Output = Matrix<T>

The resulting type after applying the - operator

fn neg(self) -> Matrix<T>

The method for the unary - operator

impl<'a, T: Neg<Output=T> + Copy> Neg for &'a Matrix<T>

Gets negative of matrix.

type Output = Matrix<T>

The resulting type after applying the - operator

fn neg(self) -> Matrix<T>

The method for the unary - operator

impl<'a, T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>> Mul<Matrix<T>> for Matrix<T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: Matrix<T>) -> Matrix<T>

The method for the * operator

impl<'a, 'b, T> Mul<&'a Matrix<T>> for Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: &Matrix<T>) -> Matrix<T>

The method for the * operator

impl<'a, T> Mul<Matrix<T>> for &'a Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: Matrix<T>) -> Matrix<T>

The method for the * operator

impl<'a, 'b, T> Mul<&'b Matrix<T>> for &'a Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: &Matrix<T>) -> Matrix<T>

The method for the * operator

impl<'a, T> Mul<MatrixSlice<'a, T>> for Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: MatrixSlice<T>) -> Matrix<T>

The method for the * operator

impl<'a, 'b, T> Mul<&'b MatrixSlice<'a, T>> for Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: &MatrixSlice<T>) -> Matrix<T>

The method for the * operator

impl<'a, 'b, T> Mul<MatrixSlice<'a, T>> for &'b Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: MatrixSlice<T>) -> Matrix<T>

The method for the * operator

impl<'a, 'b, 'c, T> Mul<&'c MatrixSlice<'a, T>> for &'b Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: &MatrixSlice<T>) -> Matrix<T>

The method for the * operator

impl<'a, T> Mul<MatrixSliceMut<'a, T>> for Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: MatrixSliceMut<T>) -> Matrix<T>

The method for the * operator

impl<'a, 'b, T> Mul<&'b MatrixSliceMut<'a, T>> for Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: &MatrixSliceMut<T>) -> Matrix<T>

The method for the * operator

impl<'a, 'b, T> Mul<MatrixSliceMut<'a, T>> for &'b Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: MatrixSliceMut<T>) -> Matrix<T>

The method for the * operator

impl<'a, 'b, 'c, T> Mul<&'c MatrixSliceMut<'a, T>> for &'b Matrix<T> where T: Any + Copy + Zero + Add<T, Output=T> + Mul<T, Output=T>

Multiplies two matrices together.

type Output = Matrix<T>

The resulting type after applying the * operator

fn mul(self, m: &MatrixSliceMut<T>) -> Matrix<T>

The method for the * operator

impl<'a, T: 'a + Copy> FromIterator<&'a [T]> for Matrix<T>

Creates a Matrix from an iterator over slices.

Each of the slices produced by the iterator will become a row in the matrix.

Panics

Will panic if the iterators items do not have constant length.

Examples

We can create a new matrix from some data.

use rulinalg::matrix::Matrix;

let a : Matrix<f64> = vec![4f64; 16].chunks(4).collect();

assert_eq!(a.rows(), 4);
assert_eq!(a.cols(), 4);

We can also do more interesting things.

use rulinalg::matrix::Matrix;

let a = Matrix::new(4,2, (0..8).collect::<Vec<usize>>());

// Here we skip the first row and take only those
// where the first entry is less than 6.
let b = a.iter_rows()
         .skip(1)
         .filter(|x| x[0] < 6)
         .collect::<Matrix<usize>>();

// We take the middle rows
assert_eq!(b.into_vec(), vec![2,3,4,5]);

fn from_iter<I: IntoIterator<Item=&'a [T]>>(iterable: I) -> Self

Creates a value from an iterator.

impl<T: Hash> Hash for Matrix<T>

fn hash<__HT: Hasher>(&self, __arg_0: &mut __HT)

Feeds this value into the state given, updating the hasher as necessary.

fn hash_slice<H>(data: &[Self], state: &mut H) where H: Hasher

Feeds a slice of this type into the state provided.

impl<T: Eq> Eq for Matrix<T>

impl<T: PartialEq> PartialEq for Matrix<T>

fn eq(&self, __arg_0: &Matrix<T>) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, __arg_0: &Matrix<T>) -> bool

This method tests for !=.

impl<T: Debug> Debug for Matrix<T>

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl<T: Clone> Clone for Matrix<T>

fn clone(&self) -> Matrix<T>

Clones the Matrix.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Float> Metric<T> for Matrix<T>

fn norm(&self) -> T

Compute euclidean norm for matrix.

Examples

use rulinalg::matrix::Matrix;
use rulinalg::Metric;

let a = Matrix::new(2,1, vec![3.0,4.0]);
let c = a.norm();

assert_eq!(c, 5.0);

impl<T: Display> Display for Matrix<T>

fn fmt(&self, f: &mut Formatter) -> Result<(), Error>

Formats the Matrix for display.

impl<T> From<Vector<T>> for Matrix<T>

fn from(vector: Vector<T>) -> Self

Performs the conversion.

impl<'a, T: Copy> From<MatrixSlice<'a, T>> for Matrix<T>

fn from(slice: MatrixSlice<'a, T>) -> Self

Performs the conversion.

impl<'a, T: Copy> From<MatrixSliceMut<'a, T>> for Matrix<T>

fn from(slice: MatrixSliceMut<'a, T>) -> Self

Performs the conversion.