Type Definition nalgebra::core::MatrixMN

type MatrixMN<N, R, C> = Matrix<N, R, C, Owned<N, R, C>>;

A staticaly sized column-major matrix with R rows and C columns.

Methods

impl<N: Scalar, R: Dim, C: Dim> MatrixMN<N, R, C> where
    DefaultAllocator: Allocator<N, R, C>, 

unsafe fn new_uninitialized_generic(nrows: R, ncols: C) -> Self

Creates a new uninitialized matrix. If the matrix has a compile-time dimension, this panics if nrows != R::to_usize() or ncols != C::to_usize().

fn from_element_generic(nrows: R, ncols: C, elem: N) -> Self

Creates a matrix with all its elements set to elem.

fn repeat_generic(nrows: R, ncols: C, elem: N) -> Self

Creates a matrix with all its elements set to elem.

Same as from_element_generic.

fn zeros_generic(nrows: R, ncols: C) -> Self where
    N: Zero, 

Creates a matrix with all its elements set to 0.

fn from_iterator_generic<I>(nrows: R, ncols: C, iter: I) -> Self where
    I: IntoIterator<Item = N>, 

Creates a matrix with all its elements filled by an iterator.

fn from_row_slice_generic(nrows: R, ncols: C, slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice in row-major order.

The order of elements in the slice must follow the usual mathematic writing, i.e., row-by-row.

fn from_column_slice_generic(nrows: R, ncols: C, slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice. The components must have the same layout as the matrix data storage (i.e. row-major or column-major).

fn from_fn_generic<F>(nrows: R, ncols: C, f: F) -> Self where
    F: FnMut(usize, usize) -> N, 

Creates a matrix filled with the results of a function applied to each of its component coordinates.

fn identity_generic(nrows: R, ncols: C) -> Self where
    N: Zero + One, 

Creates a new indentity matrix.

If the matrix is not square, the largest square submatrix starting at index (0, 0) is set to the identity matrix. All other entries are set to zero.

fn from_diagonal_element_generic(nrows: R, ncols: C, elt: N) -> Self where
    N: Zero + One, 

Creates a new matrix with its diagonal filled with copies of elt.

If the matrix is not square, the largest square submatrix starting at index (0, 0) is set to the identity matrix. All other entries are set to zero.

fn from_partial_diagonal_generic(nrows: R, ncols: C, elts: &[N]) -> Self where
    N: Zero, 

Creates a new matrix that may be rectangular. The first elts.len() diagonal elements are filled with the content of elts. Others are set to 0.

Panics if elts.len() is larger than the minimum among nrows and ncols.

fn from_rows<SB>(rows: &[Matrix<N, U1, C, SB>]) -> Self where
    SB: Storage<N, U1, C>, 

Builds a new matrix from its rows.

Panics if not enough rows are provided (for statically-sized matrices), or if all rows do not have the same dimensions.

fn from_columns<SB>(columns: &[Vector<N, R, SB>]) -> Self where
    SB: Storage<N, R>, 

Builds a new matrix from its columns.

Panics if not enough columns are provided (for statically-sized matrices), or if all columns do not have the same dimensions.

fn new_random_generic(nrows: R, ncols: C) -> Self where
    N: Rand, 

Creates a matrix filled with random values.

impl<N: Scalar, R: DimName, C: DimName> MatrixMN<N, R, C> where
    DefaultAllocator: Allocator<N, R, C>, 

unsafe fn new_uninitialized() -> Self

Creates a new uninitialized matrix.

fn from_element(elem: N) -> Self

Creates a matrix with all its elements set to elem.

fn repeat(elem: N) -> Self

Creates a matrix with all its elements set to elem.

Same as .from_element.

fn zeros() -> Self where
    N: Zero, 

Creates a matrix with all its elements set to 0.

fn from_iterator<I>(iter: I) -> Self where
    I: IntoIterator<Item = N>, 

Creates a matrix with all its elements filled by an iterator.

fn from_row_slice(slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice in row-major order.

The order of elements in the slice must follow the usual mathematic writing, i.e., row-by-row.

fn from_column_slice(slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice in column-major order.

fn from_fn<F>(f: F) -> Self where
    F: FnMut(usize, usize) -> N, 

Creates a matrix filled with the results of a function applied to each of its component coordinates.

fn identity() -> Self where
    N: Zero + One, 

Creates an identity matrix. If the matrix is not square, the largest square submatrix (starting at the first row and column) is set to the identity while all other entries are set to zero.

fn from_diagonal_element(elt: N) -> Self where
    N: Zero + One, 

Creates a matrix filled with its diagonal filled with elt and all other components set to zero.

fn from_partial_diagonal(elts: &[N]) -> Self where
    N: Zero, 

Creates a new matrix that may be rectangular. The first elts.len() diagonal elements are filled with the content of elts. Others are set to 0.

Panics if elts.len() is larger than the minimum among nrows and ncols.

impl<N: Scalar + Rand, R: DimName, C: DimName> MatrixMN<N, R, C> where
    DefaultAllocator: Allocator<N, R, C>, 

fn new_random() -> Self

Creates a matrix filled with random values.

impl<N: Scalar, R: DimName> MatrixMN<N, R, Dynamic> where
    DefaultAllocator: Allocator<N, R, Dynamic>, 

unsafe fn new_uninitialized(ncols: usize) -> Self

Creates a new uninitialized matrix.

fn from_element(ncols: usize, elem: N) -> Self

Creates a matrix with all its elements set to elem.

fn repeat(ncols: usize, elem: N) -> Self

Creates a matrix with all its elements set to elem.

Same as .from_element.

fn zeros(ncols: usize) -> Self where
    N: Zero, 

Creates a matrix with all its elements set to 0.

fn from_iterator<I>(ncols: usize, iter: I) -> Self where
    I: IntoIterator<Item = N>, 

Creates a matrix with all its elements filled by an iterator.

fn from_row_slice(ncols: usize, slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice in row-major order.

The order of elements in the slice must follow the usual mathematic writing, i.e., row-by-row.

fn from_column_slice(ncols: usize, slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice in column-major order.

fn from_fn<F>(ncols: usize, f: F) -> Self where
    F: FnMut(usize, usize) -> N, 

Creates a matrix filled with the results of a function applied to each of its component coordinates.

fn identity(ncols: usize) -> Self where
    N: Zero + One, 

Creates an identity matrix. If the matrix is not square, the largest square submatrix (starting at the first row and column) is set to the identity while all other entries are set to zero.

fn from_diagonal_element(ncols: usize, elt: N) -> Self where
    N: Zero + One, 

Creates a matrix filled with its diagonal filled with elt and all other components set to zero.

fn from_partial_diagonal(ncols: usize, elts: &[N]) -> Self where
    N: Zero, 

Creates a new matrix that may be rectangular. The first elts.len() diagonal elements are filled with the content of elts. Others are set to 0.

Panics if elts.len() is larger than the minimum among nrows and ncols.

impl<N: Scalar + Rand, R: DimName> MatrixMN<N, R, Dynamic> where
    DefaultAllocator: Allocator<N, R, Dynamic>, 

fn new_random(ncols: usize) -> Self

Creates a matrix filled with random values.

impl<N: Scalar, C: DimName> MatrixMN<N, Dynamic, C> where
    DefaultAllocator: Allocator<N, Dynamic, C>, 

unsafe fn new_uninitialized(nrows: usize) -> Self

Creates a new uninitialized matrix.

fn from_element(nrows: usize, elem: N) -> Self

Creates a matrix with all its elements set to elem.

fn repeat(nrows: usize, elem: N) -> Self

Creates a matrix with all its elements set to elem.

Same as .from_element.

fn zeros(nrows: usize) -> Self where
    N: Zero, 

Creates a matrix with all its elements set to 0.

fn from_iterator<I>(nrows: usize, iter: I) -> Self where
    I: IntoIterator<Item = N>, 

Creates a matrix with all its elements filled by an iterator.

fn from_row_slice(nrows: usize, slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice in row-major order.

The order of elements in the slice must follow the usual mathematic writing, i.e., row-by-row.

fn from_column_slice(nrows: usize, slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice in column-major order.

fn from_fn<F>(nrows: usize, f: F) -> Self where
    F: FnMut(usize, usize) -> N, 

Creates a matrix filled with the results of a function applied to each of its component coordinates.

fn identity(nrows: usize) -> Self where
    N: Zero + One, 

Creates an identity matrix. If the matrix is not square, the largest square submatrix (starting at the first row and column) is set to the identity while all other entries are set to zero.

fn from_diagonal_element(nrows: usize, elt: N) -> Self where
    N: Zero + One, 

Creates a matrix filled with its diagonal filled with elt and all other components set to zero.

fn from_partial_diagonal(nrows: usize, elts: &[N]) -> Self where
    N: Zero, 

Creates a new matrix that may be rectangular. The first elts.len() diagonal elements are filled with the content of elts. Others are set to 0.

Panics if elts.len() is larger than the minimum among nrows and ncols.

impl<N: Scalar + Rand, C: DimName> MatrixMN<N, Dynamic, C> where
    DefaultAllocator: Allocator<N, Dynamic, C>, 

fn new_random(nrows: usize) -> Self

Creates a matrix filled with random values.

impl<N: Scalar> MatrixMN<N, Dynamic, Dynamic> where
    DefaultAllocator: Allocator<N, Dynamic, Dynamic>, 

unsafe fn new_uninitialized(nrows: usize, ncols: usize) -> Self

Creates a new uninitialized matrix.

fn from_element(nrows: usize, ncols: usize, elem: N) -> Self

Creates a matrix with all its elements set to elem.

fn repeat(nrows: usize, ncols: usize, elem: N) -> Self

Creates a matrix with all its elements set to elem.

Same as .from_element.

fn zeros(nrows: usize, ncols: usize) -> Self where
    N: Zero, 

Creates a matrix with all its elements set to 0.

fn from_iterator<I>(nrows: usize, ncols: usize, iter: I) -> Self where
    I: IntoIterator<Item = N>, 

Creates a matrix with all its elements filled by an iterator.

fn from_row_slice(nrows: usize, ncols: usize, slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice in row-major order.

The order of elements in the slice must follow the usual mathematic writing, i.e., row-by-row.

fn from_column_slice(nrows: usize, ncols: usize, slice: &[N]) -> Self

Creates a matrix with its elements filled with the components provided by a slice in column-major order.

fn from_fn<F>(nrows: usize, ncols: usize, f: F) -> Self where
    F: FnMut(usize, usize) -> N, 

Creates a matrix filled with the results of a function applied to each of its component coordinates.

fn identity(nrows: usize, ncols: usize) -> Self where
    N: Zero + One, 

Creates an identity matrix. If the matrix is not square, the largest square submatrix (starting at the first row and column) is set to the identity while all other entries are set to zero.

fn from_diagonal_element(nrows: usize, ncols: usize, elt: N) -> Self where
    N: Zero + One, 

Creates a matrix filled with its diagonal filled with elt and all other components set to zero.

fn from_partial_diagonal(nrows: usize, ncols: usize, elts: &[N]) -> Self where
    N: Zero, 

Creates a new matrix that may be rectangular. The first elts.len() diagonal elements are filled with the content of elts. Others are set to 0.

Panics if elts.len() is larger than the minimum among nrows and ncols.

impl<N: Scalar + Rand> MatrixMN<N, Dynamic, Dynamic> where
    DefaultAllocator: Allocator<N, Dynamic, Dynamic>, 

fn new_random(nrows: usize, ncols: usize) -> Self

Creates a matrix filled with random values.

impl<N> MatrixMN<N, U2, U2> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U2, U2>, 

fn new(m11: N, m12: N, m21: N, m22: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U3, U3> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U3, U3>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m21: N,
    m22: N,
    m23: N,
    m31: N,
    m32: N,
    m33: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U4, U4> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U4, U4>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m41: N,
    m42: N,
    m43: N,
    m44: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U5, U5> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U5, U5>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m35: N,
    m41: N,
    m42: N,
    m43: N,
    m44: N,
    m45: N,
    m51: N,
    m52: N,
    m53: N,
    m54: N,
    m55: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U6, U6> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U6, U6>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m16: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N,
    m26: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m35: N,
    m36: N,
    m41: N,
    m42: N,
    m43: N,
    m44: N,
    m45: N,
    m46: N,
    m51: N,
    m52: N,
    m53: N,
    m54: N,
    m55: N,
    m56: N,
    m61: N,
    m62: N,
    m63: N,
    m64: N,
    m65: N,
    m66: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U2, U3> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U2, U3>, 

fn new(m11: N, m12: N, m13: N, m21: N, m22: N, m23: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U2, U4> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U2, U4>, 

fn new(m11: N, m12: N, m13: N, m14: N, m21: N, m22: N, m23: N, m24: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U2, U5> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U2, U5>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U2, U6> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U2, U6>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m16: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N,
    m26: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U3, U2> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U3, U2>, 

fn new(m11: N, m12: N, m21: N, m22: N, m31: N, m32: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U3, U4> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U3, U4>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U3, U5> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U3, U5>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m35: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U3, U6> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U3, U6>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m16: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N,
    m26: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m35: N,
    m36: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U4, U2> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U4, U2>, 

fn new(m11: N, m12: N, m21: N, m22: N, m31: N, m32: N, m41: N, m42: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U4, U3> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U4, U3>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m21: N,
    m22: N,
    m23: N,
    m31: N,
    m32: N,
    m33: N,
    m41: N,
    m42: N,
    m43: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U4, U5> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U4, U5>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m35: N,
    m41: N,
    m42: N,
    m43: N,
    m44: N,
    m45: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U4, U6> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U4, U6>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m16: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N,
    m26: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m35: N,
    m36: N,
    m41: N,
    m42: N,
    m43: N,
    m44: N,
    m45: N,
    m46: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U5, U2> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U5, U2>, 

fn new(
    m11: N,
    m12: N,
    m21: N,
    m22: N,
    m31: N,
    m32: N,
    m41: N,
    m42: N,
    m51: N,
    m52: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U5, U3> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U5, U3>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m21: N,
    m22: N,
    m23: N,
    m31: N,
    m32: N,
    m33: N,
    m41: N,
    m42: N,
    m43: N,
    m51: N,
    m52: N,
    m53: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U5, U4> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U5, U4>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m41: N,
    m42: N,
    m43: N,
    m44: N,
    m51: N,
    m52: N,
    m53: N,
    m54: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U5, U6> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U5, U6>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m16: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N,
    m26: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m35: N,
    m36: N,
    m41: N,
    m42: N,
    m43: N,
    m44: N,
    m45: N,
    m46: N,
    m51: N,
    m52: N,
    m53: N,
    m54: N,
    m55: N,
    m56: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U6, U2> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U6, U2>, 

fn new(
    m11: N,
    m12: N,
    m21: N,
    m22: N,
    m31: N,
    m32: N,
    m41: N,
    m42: N,
    m51: N,
    m52: N,
    m61: N,
    m62: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U6, U3> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U6, U3>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m21: N,
    m22: N,
    m23: N,
    m31: N,
    m32: N,
    m33: N,
    m41: N,
    m42: N,
    m43: N,
    m51: N,
    m52: N,
    m53: N,
    m61: N,
    m62: N,
    m63: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U6, U4> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U6, U4>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m41: N,
    m42: N,
    m43: N,
    m44: N,
    m51: N,
    m52: N,
    m53: N,
    m54: N,
    m61: N,
    m62: N,
    m63: N,
    m64: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U6, U5> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U6, U5>, 

fn new(
    m11: N,
    m12: N,
    m13: N,
    m14: N,
    m15: N,
    m21: N,
    m22: N,
    m23: N,
    m24: N,
    m25: N,
    m31: N,
    m32: N,
    m33: N,
    m34: N,
    m35: N,
    m41: N,
    m42: N,
    m43: N,
    m44: N,
    m45: N,
    m51: N,
    m52: N,
    m53: N,
    m54: N,
    m55: N,
    m61: N,
    m62: N,
    m63: N,
    m64: N,
    m65: N
) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U1, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U1>, 

fn new(x: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U1, U2> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U2>, 

fn new(x: N, y: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U1, U3> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U3>, 

fn new(x: N, y: N, z: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U1, U4> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U4>, 

fn new(x: N, y: N, z: N, w: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U1, U5> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U5>, 

fn new(x: N, y: N, z: N, w: N, a: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U1, U6> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U6>, 

fn new(x: N, y: N, z: N, w: N, a: N, b: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U2, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U2, U1>, 

fn new(x: N, y: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U3, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U3, U1>, 

fn new(x: N, y: N, z: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U4, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U4, U1>, 

fn new(x: N, y: N, z: N, w: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U5, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U5, U1>, 

fn new(x: N, y: N, z: N, w: N, a: N) -> Self

Initializes this matrix from its components.

impl<N> MatrixMN<N, U6, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U6, U1>, 

fn new(x: N, y: N, z: N, w: N, a: N, b: N) -> Self

Initializes this matrix from its components.

Trait Implementations

impl<N, R: DimName, C: DimName> Sum for MatrixMN<N, R, C> where
    N: Scalar + ClosedAdd + Zero,
    DefaultAllocator: Allocator<N, R, C>, 

fn sum<I: Iterator<Item = MatrixMN<N, R, C>>>(iter: I) -> MatrixMN<N, R, C>

Method which takes an iterator and generates Self from the elements by "summing up" the items.

impl<'a, N, R: DimName, C: DimName> Sum<&'a MatrixMN<N, R, C>> for MatrixMN<N, R, C> where
    N: Scalar + ClosedAdd + Zero,
    DefaultAllocator: Allocator<N, R, C>, 

fn sum<I: Iterator<Item = &'a MatrixMN<N, R, C>>>(iter: I) -> MatrixMN<N, R, C>

Method which takes an iterator and generates Self from the elements by "summing up" the items.

impl<N, R: DimName, C: DimName> Zero for MatrixMN<N, R, C> where
    N: Scalar + Zero + ClosedAdd,
    DefaultAllocator: Allocator<N, R, C>, 

fn zero() -> Self

Returns the additive identity element of Self, 0.

fn is_zero(&self) -> bool

Returns true if self is equal to the additive identity.

impl<N, R: DimName, C: DimName> Bounded for MatrixMN<N, R, C> where
    N: Scalar + Bounded,
    DefaultAllocator: Allocator<N, R, C>, 

fn max_value() -> Self

returns the largest finite number this type can represent

fn min_value() -> Self

returns the smallest finite number this type can represent

impl<N: Scalar + Rand, R: Dim, C: Dim> Rand for MatrixMN<N, R, C> where
    DefaultAllocator: Allocator<N, R, C>, 

fn rand<G: Rng>(rng: &mut G) -> Self

Generates a random instance of this type using the specified source of randomness.

impl<N, R: DimName, C: DimName> Identity<Additive> for MatrixMN<N, R, C> where
    N: Scalar + Zero,
    DefaultAllocator: Allocator<N, R, C>, 

fn identity() -> Self

The identity element.

fn id(O) -> Self

Specific identity.

impl<N, R: DimName, C: DimName> AbstractMagma<Additive> for MatrixMN<N, R, C> where
    N: Scalar + ClosedAdd,
    DefaultAllocator: Allocator<N, R, C>, 

fn operate(&self, other: &Self) -> Self

Performs an operation.

fn op(&self, O, lhs: &Self) -> Self

Performs specific operation.

impl<N, R: DimName, C: DimName> Inverse<Additive> for MatrixMN<N, R, C> where
    N: Scalar + ClosedNeg,
    DefaultAllocator: Allocator<N, R, C>, 

fn inverse(&self) -> MatrixMN<N, R, C>

Returns the inverse of self, relative to the operator O.

fn inverse_mut(&mut self)

In-place inversin of self.

impl<N, R: DimName, C: DimName> AbstractSemigroup<Additive> for MatrixMN<N, R, C> where
    N: Scalar + AbstractSemigroup<Additive> + ClosedAdd,
    DefaultAllocator: Allocator<N, R, C>, 

fn prop_is_associative_approx(args: (Self, Self, Self)) -> bool where
    Self: ApproxEq, 

Returns true if associativity holds for the given arguments. Approximate equality is used for verifications.

fn prop_is_associative(args: (Self, Self, Self)) -> bool where
    Self: Eq, 

Returns true if associativity holds for the given arguments.

impl<N, R: DimName, C: DimName> AbstractMonoid<Additive> for MatrixMN<N, R, C> where
    N: Scalar + AbstractMonoid<Additive> + Zero + ClosedAdd,
    DefaultAllocator: Allocator<N, R, C>, 

fn prop_operating_identity_element_is_noop_approx(args: (Self,)) -> bool where
    Self: ApproxEq, 

Checks whether operating with the identity element is a no-op for the given argument. Approximate equality is used for verifications.

fn prop_operating_identity_element_is_noop(args: (Self,)) -> bool where
    Self: Eq, 

Checks whether operating with the identity element is a no-op for the given argument.

impl<N, R: DimName, C: DimName> AbstractQuasigroup<Additive> for MatrixMN<N, R, C> where
    N: Scalar + AbstractQuasigroup<Additive> + ClosedAdd + ClosedNeg,
    DefaultAllocator: Allocator<N, R, C>, 

fn prop_inv_is_latin_square_approx(args: (Self, Self)) -> bool where
    Self: ApproxEq, 

Returns true if latin squareness holds for the given arguments. Approximate equality is used for verifications.

fn prop_inv_is_latin_square(args: (Self, Self)) -> bool where
    Self: Eq, 

Returns true if latin squareness holds for the given arguments.

impl<N, R: DimName, C: DimName> AbstractLoop<Additive> for MatrixMN<N, R, C> where
    N: Scalar + AbstractLoop<Additive> + Zero + ClosedAdd + ClosedNeg,
    DefaultAllocator: Allocator<N, R, C>, 

impl<N, R: DimName, C: DimName> AbstractGroup<Additive> for MatrixMN<N, R, C> where
    N: Scalar + AbstractGroup<Additive> + Zero + ClosedAdd + ClosedNeg,
    DefaultAllocator: Allocator<N, R, C>, 

impl<N, R: DimName, C: DimName> AbstractGroupAbelian<Additive> for MatrixMN<N, R, C> where
    N: Scalar + AbstractGroupAbelian<Additive> + Zero + ClosedAdd + ClosedNeg,
    DefaultAllocator: Allocator<N, R, C>, 

fn prop_is_commutative_approx(args: (Self, Self)) -> bool where
    Self: ApproxEq, 

Returns true if the operator is commutative for the given argument tuple. Approximate equality is used for verifications.

fn prop_is_commutative(args: (Self, Self)) -> bool where
    Self: Eq, 

Returns true if the operator is commutative for the given argument tuple.

impl<N, R: DimName, C: DimName> AbstractModule for MatrixMN<N, R, C> where
    N: Scalar + RingCommutative,
    DefaultAllocator: Allocator<N, R, C>, 

type AbstractRing = N

The underlying scalar field.

fn multiply_by(&self, n: N) -> Self

Multiplies an element of the ring with an element of the module.

impl<N, R: DimName, C: DimName> Module for MatrixMN<N, R, C> where
    N: Scalar + RingCommutative,
    DefaultAllocator: Allocator<N, R, C>, 

type Ring = N

The underlying scalar field.

impl<N, R: DimName, C: DimName> VectorSpace for MatrixMN<N, R, C> where
    N: Scalar + Field,
    DefaultAllocator: Allocator<N, R, C>, 

type Field = N

The underlying scalar field.

impl<N, R: DimName, C: DimName> FiniteDimVectorSpace for MatrixMN<N, R, C> where
    N: Scalar + Field,
    DefaultAllocator: Allocator<N, R, C>, 

fn dimension() -> usize

The vector space dimension.

fn canonical_basis_element(i: usize) -> Self

The i-the canonical basis element.

fn dot(&self, other: &Self) -> N

The dot product between two vectors.

unsafe fn component_unchecked(&self, i: usize) -> &N

Same as &self[i] but without bound-checking.

unsafe fn component_unchecked_mut(&mut self, i: usize) -> &mut N

Same as &mut self[i] but without bound-checking.

fn canonical_basis<F>(f: F) where
    F: FnMut(&Self) -> bool, 

Applies the given closule to each element of this vector space's canonical basis. Stops if f returns false.

impl<N: Real, R: DimName, C: DimName> NormedSpace for MatrixMN<N, R, C> where
    DefaultAllocator: Allocator<N, R, C>, 

fn norm_squared(&self) -> N

The squared norm of this vector.

fn norm(&self) -> N

The norm of this vector.

fn normalize(&self) -> Self

Returns a normalized version of this vector.

fn normalize_mut(&mut self) -> N

Normalizes this vector in-place and returns its norm.

fn try_normalize(&self, min_norm: N) -> Option<Self>

Returns a normalized version of this vector unless its norm as smaller or equal to eps.

fn try_normalize_mut(&mut self, min_norm: N) -> Option<N>

Normalizes this vector in-place or does nothing if its norm is smaller or equal to eps.

impl<N: Real, R: DimName, C: DimName> InnerSpace for MatrixMN<N, R, C> where
    DefaultAllocator: Allocator<N, R, C>, 

type Real = N

The result of inner product (same as the field used by this vector space).

fn angle(&self, other: &Self) -> N

Measures the angle between two vectors.

fn inner_product(&self, other: &Self) -> N

Computes the inner product of self with other.

impl<N: Real, R: DimName, C: DimName> FiniteDimInnerSpace for MatrixMN<N, R, C> where
    DefaultAllocator: Allocator<N, R, C>, 

fn orthonormalize(vs: &mut [MatrixMN<N, R, C>]) -> usize

Orthonormalizes the given family of vectors. The largest free family of vectors is moved at the beginning of the array and its size is returned. Vectors at an indices larger or equal to this length can be modified to an arbitrary value.

fn orthonormal_subspace_basis<F>(vs: &[Self], f: F) where
    F: FnMut(&Self) -> bool, 

Applies the given closure to each element of the orthonormal basis of the subspace orthogonal to free family of vectors vs. If vs is not a free family, the result is unspecified.

impl<N, R: Dim, C: Dim> MeetSemilattice for MatrixMN<N, R, C> where
    N: Scalar + MeetSemilattice,
    DefaultAllocator: Allocator<N, R, C>, 

fn meet(&self, other: &Self) -> Self

Returns the meet (aka. infimum) of two values.

impl<N, R: Dim, C: Dim> JoinSemilattice for MatrixMN<N, R, C> where
    N: Scalar + JoinSemilattice,
    DefaultAllocator: Allocator<N, R, C>, 

fn join(&self, other: &Self) -> Self

Returns the join (aka. supremum) of two values.

impl<N, R: Dim, C: Dim> Lattice for MatrixMN<N, R, C> where
    N: Scalar + Lattice,
    DefaultAllocator: Allocator<N, R, C>, 

fn meet_join(&self, other: &Self) -> (Self, Self)

Returns the infimum and the supremum simultaneously.

fn partial_min(&'a self, other: &'a Self) -> Option<&'a Self>

Return the minimum of self and other if they are comparable.

fn partial_max(&'a self, other: &'a Self) -> Option<&'a Self>

Return the maximum of self and other if they are comparable.

fn partial_sort2(&'a self, other: &'a Self) -> Option<(&'a Self, &'a Self)>

Sorts two values in increasing order using a partial ordering.

fn partial_clamp(&'a self, min: &'a Self, max: &'a Self) -> Option<&'a Self>

Clamp value between min and max. Returns None if value is not comparable to min or max.

impl<N1, N2, R1, C1, R2, C2> SubsetOf<MatrixMN<N2, R2, C2>> for MatrixMN<N1, R1, C1> where
    R1: Dim,
    C1: Dim,
    R2: Dim,
    C2: Dim,
    N1: Scalar,
    N2: Scalar + SupersetOf<N1>,
    DefaultAllocator: Allocator<N2, R2, C2> + Allocator<N1, R1, C1> + SameShapeAllocator<N1, R1, C1, R2, C2>,
    ShapeConstraint: SameNumberOfRows<R1, R2> + SameNumberOfColumns<C1, C2>, 

fn to_superset(&self) -> MatrixMN<N2, R2, C2>

The inclusion map: converts self to the equivalent element of its superset.

fn is_in_subset(m: &MatrixMN<N2, R2, C2>) -> bool

Checks if element is actually part of the subset Self (and can be converted to it).

unsafe fn from_superset_unchecked(m: &MatrixMN<N2, R2, C2>) -> Self

Use with care! Same as self.to_superset but without any property checks. Always succeeds.

fn from_superset(element: &T) -> Option<Self>

The inverse inclusion map: attempts to construct self from the equivalent element of its superset.

impl<N> From<[N; 1]> for MatrixMN<N, U1, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U1>, 

fn from(arr: [N; 1]) -> Self

Performs the conversion.

impl<N> From<[N; 2]> for MatrixMN<N, U1, U2> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U2>, 

fn from(arr: [N; 2]) -> Self

Performs the conversion.

impl<N> From<[N; 3]> for MatrixMN<N, U1, U3> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U3>, 

fn from(arr: [N; 3]) -> Self

Performs the conversion.

impl<N> From<[N; 4]> for MatrixMN<N, U1, U4> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U4>, 

fn from(arr: [N; 4]) -> Self

Performs the conversion.

impl<N> From<[N; 5]> for MatrixMN<N, U1, U5> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U5>, 

fn from(arr: [N; 5]) -> Self

Performs the conversion.

impl<N> From<[N; 6]> for MatrixMN<N, U1, U6> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U6>, 

fn from(arr: [N; 6]) -> Self

Performs the conversion.

impl<N> From<[N; 7]> for MatrixMN<N, U1, U7> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U7>, 

fn from(arr: [N; 7]) -> Self

Performs the conversion.

impl<N> From<[N; 8]> for MatrixMN<N, U1, U8> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U8>, 

fn from(arr: [N; 8]) -> Self

Performs the conversion.

impl<N> From<[N; 9]> for MatrixMN<N, U1, U9> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U9>, 

fn from(arr: [N; 9]) -> Self

Performs the conversion.

impl<N> From<[N; 10]> for MatrixMN<N, U1, U10> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U10>, 

fn from(arr: [N; 10]) -> Self

Performs the conversion.

impl<N> From<[N; 11]> for MatrixMN<N, U1, U11> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U11>, 

fn from(arr: [N; 11]) -> Self

Performs the conversion.

impl<N> From<[N; 12]> for MatrixMN<N, U1, U12> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U12>, 

fn from(arr: [N; 12]) -> Self

Performs the conversion.

impl<N> From<[N; 13]> for MatrixMN<N, U1, U13> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U13>, 

fn from(arr: [N; 13]) -> Self

Performs the conversion.

impl<N> From<[N; 14]> for MatrixMN<N, U1, U14> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U14>, 

fn from(arr: [N; 14]) -> Self

Performs the conversion.

impl<N> From<[N; 15]> for MatrixMN<N, U1, U15> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U15>, 

fn from(arr: [N; 15]) -> Self

Performs the conversion.

impl<N> From<[N; 16]> for MatrixMN<N, U1, U16> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U1, U16>, 

fn from(arr: [N; 16]) -> Self

Performs the conversion.

impl<N> From<[N; 2]> for MatrixMN<N, U2, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U2, U1>, 

fn from(arr: [N; 2]) -> Self

Performs the conversion.

impl<N> From<[N; 3]> for MatrixMN<N, U3, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U3, U1>, 

fn from(arr: [N; 3]) -> Self

Performs the conversion.

impl<N> From<[N; 4]> for MatrixMN<N, U4, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U4, U1>, 

fn from(arr: [N; 4]) -> Self

Performs the conversion.

impl<N> From<[N; 5]> for MatrixMN<N, U5, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U5, U1>, 

fn from(arr: [N; 5]) -> Self

Performs the conversion.

impl<N> From<[N; 6]> for MatrixMN<N, U6, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U6, U1>, 

fn from(arr: [N; 6]) -> Self

Performs the conversion.

impl<N> From<[N; 7]> for MatrixMN<N, U7, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U7, U1>, 

fn from(arr: [N; 7]) -> Self

Performs the conversion.

impl<N> From<[N; 8]> for MatrixMN<N, U8, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U8, U1>, 

fn from(arr: [N; 8]) -> Self

Performs the conversion.

impl<N> From<[N; 9]> for MatrixMN<N, U9, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U9, U1>, 

fn from(arr: [N; 9]) -> Self

Performs the conversion.

impl<N> From<[N; 10]> for MatrixMN<N, U10, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U10, U1>, 

fn from(arr: [N; 10]) -> Self

Performs the conversion.

impl<N> From<[N; 11]> for MatrixMN<N, U11, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U11, U1>, 

fn from(arr: [N; 11]) -> Self

Performs the conversion.

impl<N> From<[N; 12]> for MatrixMN<N, U12, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U12, U1>, 

fn from(arr: [N; 12]) -> Self

Performs the conversion.

impl<N> From<[N; 13]> for MatrixMN<N, U13, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U13, U1>, 

fn from(arr: [N; 13]) -> Self

Performs the conversion.

impl<N> From<[N; 14]> for MatrixMN<N, U14, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U14, U1>, 

fn from(arr: [N; 14]) -> Self

Performs the conversion.

impl<N> From<[N; 15]> for MatrixMN<N, U15, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U15, U1>, 

fn from(arr: [N; 15]) -> Self

Performs the conversion.

impl<N> From<[N; 16]> for MatrixMN<N, U16, U1> where
    N: Scalar,
    DefaultAllocator: Allocator<N, U16, U1>, 

fn from(arr: [N; 16]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 2]; 2]> for MatrixMN<N, U2, U2> where
    DefaultAllocator: Allocator<N, U2, U2>, 

fn from(arr: [[N; 2]; 2]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 2]; 3]> for MatrixMN<N, U2, U3> where
    DefaultAllocator: Allocator<N, U2, U3>, 

fn from(arr: [[N; 2]; 3]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 2]; 4]> for MatrixMN<N, U2, U4> where
    DefaultAllocator: Allocator<N, U2, U4>, 

fn from(arr: [[N; 2]; 4]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 2]; 5]> for MatrixMN<N, U2, U5> where
    DefaultAllocator: Allocator<N, U2, U5>, 

fn from(arr: [[N; 2]; 5]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 2]; 6]> for MatrixMN<N, U2, U6> where
    DefaultAllocator: Allocator<N, U2, U6>, 

fn from(arr: [[N; 2]; 6]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 3]; 2]> for MatrixMN<N, U3, U2> where
    DefaultAllocator: Allocator<N, U3, U2>, 

fn from(arr: [[N; 3]; 2]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 3]; 3]> for MatrixMN<N, U3, U3> where
    DefaultAllocator: Allocator<N, U3, U3>, 

fn from(arr: [[N; 3]; 3]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 3]; 4]> for MatrixMN<N, U3, U4> where
    DefaultAllocator: Allocator<N, U3, U4>, 

fn from(arr: [[N; 3]; 4]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 3]; 5]> for MatrixMN<N, U3, U5> where
    DefaultAllocator: Allocator<N, U3, U5>, 

fn from(arr: [[N; 3]; 5]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 3]; 6]> for MatrixMN<N, U3, U6> where
    DefaultAllocator: Allocator<N, U3, U6>, 

fn from(arr: [[N; 3]; 6]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 4]; 2]> for MatrixMN<N, U4, U2> where
    DefaultAllocator: Allocator<N, U4, U2>, 

fn from(arr: [[N; 4]; 2]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 4]; 3]> for MatrixMN<N, U4, U3> where
    DefaultAllocator: Allocator<N, U4, U3>, 

fn from(arr: [[N; 4]; 3]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 4]; 4]> for MatrixMN<N, U4, U4> where
    DefaultAllocator: Allocator<N, U4, U4>, 

fn from(arr: [[N; 4]; 4]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 4]; 5]> for MatrixMN<N, U4, U5> where
    DefaultAllocator: Allocator<N, U4, U5>, 

fn from(arr: [[N; 4]; 5]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 4]; 6]> for MatrixMN<N, U4, U6> where
    DefaultAllocator: Allocator<N, U4, U6>, 

fn from(arr: [[N; 4]; 6]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 5]; 2]> for MatrixMN<N, U5, U2> where
    DefaultAllocator: Allocator<N, U5, U2>, 

fn from(arr: [[N; 5]; 2]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 5]; 3]> for MatrixMN<N, U5, U3> where
    DefaultAllocator: Allocator<N, U5, U3>, 

fn from(arr: [[N; 5]; 3]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 5]; 4]> for MatrixMN<N, U5, U4> where
    DefaultAllocator: Allocator<N, U5, U4>, 

fn from(arr: [[N; 5]; 4]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 5]; 5]> for MatrixMN<N, U5, U5> where
    DefaultAllocator: Allocator<N, U5, U5>, 

fn from(arr: [[N; 5]; 5]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 5]; 6]> for MatrixMN<N, U5, U6> where
    DefaultAllocator: Allocator<N, U5, U6>, 

fn from(arr: [[N; 5]; 6]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 6]; 2]> for MatrixMN<N, U6, U2> where
    DefaultAllocator: Allocator<N, U6, U2>, 

fn from(arr: [[N; 6]; 2]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 6]; 3]> for MatrixMN<N, U6, U3> where
    DefaultAllocator: Allocator<N, U6, U3>, 

fn from(arr: [[N; 6]; 3]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 6]; 4]> for MatrixMN<N, U6, U4> where
    DefaultAllocator: Allocator<N, U6, U4>, 

fn from(arr: [[N; 6]; 4]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 6]; 5]> for MatrixMN<N, U6, U5> where
    DefaultAllocator: Allocator<N, U6, U5>, 

fn from(arr: [[N; 6]; 5]) -> Self

Performs the conversion.

impl<N: Scalar> From<[[N; 6]; 6]> for MatrixMN<N, U6, U6> where
    DefaultAllocator: Allocator<N, U6, U6>, 

fn from(arr: [[N; 6]; 6]) -> Self

Performs the conversion.

impl<N, R1: DimName, C1: DimName> MulAssign<Rotation<N, C1>> for MatrixMN<N, R1, C1> where
    N: Scalar + Zero + One + ClosedAdd + ClosedMul,
    DefaultAllocator: Allocator<N, R1, C1> + Allocator<N, C1, C1>, 

fn mul_assign(&mut self, right: Rotation<N, C1>)

Performs the *= operation.

impl<'b, N, R1: DimName, C1: DimName> MulAssign<&'b Rotation<N, C1>> for MatrixMN<N, R1, C1> where
    N: Scalar + Zero + One + ClosedAdd + ClosedMul,
    DefaultAllocator: Allocator<N, R1, C1> + Allocator<N, C1, C1>, 

fn mul_assign(&mut self, right: &'b Rotation<N, C1>)

Performs the *= operation.

impl<N, R1: DimName, C1: DimName> DivAssign<Rotation<N, C1>> for MatrixMN<N, R1, C1> where
    N: Scalar + Zero + One + ClosedAdd + ClosedMul,
    DefaultAllocator: Allocator<N, R1, C1> + Allocator<N, C1, C1>, 

fn div_assign(&mut self, right: Rotation<N, C1>)

Performs the /= operation.

impl<'b, N, R1: DimName, C1: DimName> DivAssign<&'b Rotation<N, C1>> for MatrixMN<N, R1, C1> where
    N: Scalar + Zero + One + ClosedAdd + ClosedMul,
    DefaultAllocator: Allocator<N, R1, C1> + Allocator<N, C1, C1>, 

fn div_assign(&mut self, right: &'b Rotation<N, C1>)

Performs the /= operation.