Struct NormalMat

pub struct NormalMat<E>
where
    E: ComplexField,
{
    pub nrows: usize,
    pub ncols: usize,
    pub normal: Normal<E>,
}

The normal distribution, N(mean, std_dev**2) for 0 <= i < nrows, 0 <= j < ncols.

Fields

nrows: usize

Number of rows of the sampled matrix.

ncols: usize

Number of columns of the sampled matrix.

normal: Normal<E>

Normal distribution parameters for a single scalar.

Trait Implementations

impl<E> Distribution<Mat<E>> for NormalMat<E>

where E: ComplexField, StandardNormal: Distribution<E>,

fn sample<R>(&self, rng: &mut R) -> Mat<E>

where R: Rng + ?Sized,

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