Type Alias nalgebra::base::MatrixView

pub type MatrixView<'a, T, R, C, RStride = U1, CStride = R> = Matrix<T, R, C, ViewStorage<'a, T, R, C, RStride, CStride>>;

A matrix view.

Aliased Type

struct MatrixView<'a, T, R, C, RStride = U1, CStride = R> {
    pub data: ViewStorage<'a, T, R, C, RStride, CStride>,
    /* private fields */
}

Fields

data: ViewStorage<'a, T, R, C, RStride, CStride>

The data storage that contains all the matrix components. Disappointed?

Well, if you came here to see how you can access the matrix components, you may be in luck: you can access the individual components of all vectors with compile-time dimensions <= 6 using field notation like this: vec.x, vec.y, vec.z, vec.w, vec.a, vec.b. Reference and assignation work too:

let mut vec = Vector3::new(1.0, 2.0, 3.0);
vec.x = 10.0;
vec.y += 30.0;
assert_eq!(vec.x, 10.0);
assert_eq!(vec.y + 100.0, 132.0);

Similarly, for matrices with compile-time dimensions <= 6, you can use field notation like this: mat.m11, mat.m42, etc. The first digit identifies the row to address and the second digit identifies the column to address. So mat.m13 identifies the component at the first row and third column (note that the count of rows and columns start at 1 instead of 0 here. This is so we match the mathematical notation).

For all matrices and vectors, independently from their size, individual components can be accessed and modified using indexing: vec[20], mat[(20, 19)]. Here the indexing starts at 0 as you would expect.

Implementations

impl<'a, T: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> MatrixView<'a, T, R, C, RStride, CStride>

Creating matrix views from &[T]

pub unsafe fn from_slice_with_strides_generic_unchecked( data: &'a [T], start: usize, nrows: R, ncols: C, rstride: RStride, cstride: CStride ) -> Self

Creates, without bounds checking, a matrix view from an array and with dimensions and strides specified by generic types instances.

Safety

This method is unsafe because the input data array is not checked to contain enough elements. The generic types R, C, RStride, CStride can either be type-level integers or integers wrapped with Dyn().

pub fn from_slice_with_strides_generic( data: &'a [T], nrows: R, ncols: C, rstride: RStride, cstride: CStride ) -> Self

Creates a matrix view from an array and with dimensions and strides specified by generic types instances.

Panics if the input data array dose not contain enough elements. The generic types R, C, RStride, CStride can either be type-level integers or integers wrapped with Dyn().

impl<'a, T: Scalar, R: Dim, C: Dim> MatrixView<'a, T, R, C>

pub unsafe fn from_slice_generic_unchecked( data: &'a [T], start: usize, nrows: R, ncols: C ) -> Self

Creates, without bound-checking, a matrix view from an array and with dimensions specified by generic types instances.

Safety

This method is unsafe because the input data array is not checked to contain enough elements. The generic types R and C can either be type-level integers or integers wrapped with Dyn().

pub fn from_slice_generic(data: &'a [T], nrows: R, ncols: C) -> Self

Creates a matrix view from an array and with dimensions and strides specified by generic types instances.

Panics if the input data array dose not contain enough elements. The generic types R and C can either be type-level integers or integers wrapped with Dyn().

impl<'a, T: Scalar, R: DimName, C: DimName> MatrixView<'a, T, R, C>

pub fn from_slice(data: &'a [T]) -> Self

Creates a new matrix view from the given data array.

Panics if data does not contain enough elements.

pub unsafe fn from_slice_unchecked(data: &'a [T], start: usize) -> Self

Creates, without bound checking, a new matrix view from the given data array.

impl<'a, T: Scalar, R: DimName, C: DimName> MatrixView<'a, T, R, C, Dyn, Dyn>

pub fn from_slice_with_strides( data: &'a [T], rstride: usize, cstride: usize ) -> Self

Creates a new matrix view with the specified strides from the given data array.

Panics if data does not contain enough elements.

pub unsafe fn from_slice_with_strides_unchecked( data: &'a [T], start: usize, rstride: usize, cstride: usize ) -> Self

Creates, without bound checking, a new matrix view with the specified strides from the given data array.

impl<'a, T: Scalar, R: DimName> MatrixView<'a, T, R, Dyn>

pub fn from_slice(data: &'a [T], ncols: usize) -> Self

Creates a new matrix view from the given data array.

Panics if data does not contain enough elements.

pub unsafe fn from_slice_unchecked( data: &'a [T], start: usize, ncols: usize ) -> Self

Creates, without bound checking, a new matrix view from the given data array.

impl<'a, T: Scalar, R: DimName> MatrixView<'a, T, R, Dyn, Dyn, Dyn>

pub fn from_slice_with_strides( data: &'a [T], ncols: usize, rstride: usize, cstride: usize ) -> Self

Creates a new matrix view with the specified strides from the given data array.

Panics if data does not contain enough elements.

pub unsafe fn from_slice_with_strides_unchecked( data: &'a [T], start: usize, ncols: usize, rstride: usize, cstride: usize ) -> Self

Creates, without bound checking, a new matrix view with the specified strides from the given data array.

impl<'a, T: Scalar, C: DimName> MatrixView<'a, T, Dyn, C>

pub fn from_slice(data: &'a [T], nrows: usize) -> Self

Creates a new matrix view from the given data array.

Panics if data does not contain enough elements.

pub unsafe fn from_slice_unchecked( data: &'a [T], start: usize, nrows: usize ) -> Self

Creates, without bound checking, a new matrix view from the given data array.

impl<'a, T: Scalar, C: DimName> MatrixView<'a, T, Dyn, C, Dyn, Dyn>

pub fn from_slice_with_strides( data: &'a [T], nrows: usize, rstride: usize, cstride: usize ) -> Self

Creates a new matrix view with the specified strides from the given data array.

Panics if data does not contain enough elements.

pub unsafe fn from_slice_with_strides_unchecked( data: &'a [T], start: usize, nrows: usize, rstride: usize, cstride: usize ) -> Self

Creates, without bound checking, a new matrix view with the specified strides from the given data array.

impl<'a, T: Scalar> MatrixView<'a, T, Dyn, Dyn>

pub fn from_slice(data: &'a [T], nrows: usize, ncols: usize) -> Self

Creates a new matrix view from the given data array.

Panics if data does not contain enough elements.

pub unsafe fn from_slice_unchecked( data: &'a [T], start: usize, nrows: usize, ncols: usize ) -> Self

Creates, without bound checking, a new matrix view from the given data array.

impl<'a, T: Scalar> MatrixView<'a, T, Dyn, Dyn, Dyn, Dyn>

pub fn from_slice_with_strides( data: &'a [T], nrows: usize, ncols: usize, rstride: usize, cstride: usize ) -> Self

Creates a new matrix view with the specified strides from the given data array.

Panics if data does not contain enough elements.

pub unsafe fn from_slice_with_strides_unchecked( data: &'a [T], start: usize, nrows: usize, ncols: usize, rstride: usize, cstride: usize ) -> Self

Creates, without bound checking, a new matrix view with the specified strides from the given data array.

Trait Implementations

impl<'a, T, R, C, RView, CView, RStride, CStride, S> From<&'a Matrix<T, R, C, S>> for MatrixView<'a, T, RView, CView, RStride, CStride>

where R: Dim, C: Dim, RView: Dim, CView: Dim, RStride: Dim, CStride: Dim, S: RawStorage<T, R, C>, ShapeConstraint: DimEq<R, RView> + DimEq<C, CView> + DimEq<RStride, S::RStride> + DimEq<CStride, S::CStride>,

fn from(m: &'a Matrix<T, R, C, S>) -> Self

Converts to this type from the input type.

impl<'a, T, R, C, RView, CView, RStride, CStride, S> From<&'a mut Matrix<T, R, C, S>> for MatrixView<'a, T, RView, CView, RStride, CStride>

where R: Dim, C: Dim, RView: Dim, CView: Dim, RStride: Dim, CStride: Dim, S: RawStorage<T, R, C>, ShapeConstraint: DimEq<R, RView> + DimEq<C, CView> + DimEq<RStride, S::RStride> + DimEq<CStride, S::CStride>,

fn from(m: &'a mut Matrix<T, R, C, S>) -> Self

Converts to this type from the input type.

impl<'a, T, R, C, RStride, CStride> From<Matrix<T, R, C, ViewStorageMut<'a, T, R, C, RStride, CStride>>> for MatrixView<'a, T, R, C, RStride, CStride>

where R: Dim, C: Dim, RStride: Dim, CStride: Dim,

fn from(view_mut: MatrixViewMut<'a, T, R, C, RStride, CStride>) -> Self

Converts to this type from the input type.