Trait lambda::math::matrix::Matrix

pub trait Matrix<V: Vector> {
    fn add(&self, other: &Self) -> Self;
    fn subtract(&self, other: &Self) -> Self;
    fn multiply(&self, other: &Self) -> Self;
    fn transpose(&self) -> Self;
    fn inverse(&self) -> Self;
    fn transform(&self, other: &V) -> V;
    fn determinant(&self) -> f32;
    fn size(&self) -> (usize, usize);
    fn row(&self, row: usize) -> &V;
    fn at(&self, row: usize, column: usize) -> V::Scalar;
    fn update(&mut self, row: usize, column: usize, value: V::Scalar);
}

Matrix trait which defines the basic operations that can be performed on a matrix. Lambda currently implements this trait for f32 arrays of arrays for any size.

Required Methods

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

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

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

fn transpose(&self) -> Self

fn inverse(&self) -> Self

fn transform(&self, other: &V) -> V

fn determinant(&self) -> f32

fn size(&self) -> (usize, usize)

fn row(&self, row: usize) -> &V

fn at(&self, row: usize, column: usize) -> V::Scalar

fn update(&mut self, row: usize, column: usize, value: V::Scalar)

Implementors

impl<Array, V> Matrix<V> for Arraywhere
    Array: AsMut<[V]> + AsRef<[V]> + Default,
    V: AsMut<[f32]> + AsRef<[f32]> + Vector<Scalar = f32> + Sized,

Matrix implementations for arrays of f32 arrays. Including the trait Matrix into your code will allow you to use these function implementation for any array of f32 arrays.