Struct MatrixDistribution 

pub struct MatrixDistribution<D: Distribution<T>, T, const M: usize, const N: usize> {
    pub inner: D,
    /* private fields */
}

Per-component matrix distribution.

Fields

inner: D

Implementations

impl<D: Distribution<T>, T, const M: usize, const N: usize> MatrixDistribution<D, T, M, N>

pub fn new(inner: D) -> Self

Trait Implementations

impl<D: Distribution<T>, T, const M: usize, const N: usize> Distribution<Matrix<T, M, N>> for MatrixDistribution<D, T, M, N>

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Matrix<T, M, N>

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>

where R: Rng, Self: Sized,

Create an iterator that generates random values of T, using rng as the source of randomness.

fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S>

where F: Fn(T) -> S, Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F