Struct vecmat::distr::Invertible

pub struct Invertible;

Distribution that guarantees to produce an element which could be inverted.

Trait Implementations

impl<T, const N: usize> Distribution<Chain<Shift<T, N>, Linear<T, N>, Vector<T, N>>> for Invertible where
    Invertible: Distribution<Linear<T, N>>,
    Normal: Distribution<Shift<T, N>>, 

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

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, 

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

impl<T, const N: usize> Distribution<Linear<T, N>> for Invertible where
    Invertible: Distribution<Matrix<T, N, N>>, 

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

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, 

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

impl<T, const N: usize> Distribution<Matrix<T, N, N>> for Invertible where
    Normal: Distribution<Matrix<T, N, N>>,
    T: Neg<Output = T> + Num + NormL1 + Copy,
    <T as NormL1>::Output: Epsilon, 

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

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, 

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

impl<T: Neg<Output = T> + Num + Copy> Distribution<Moebius<T>> for Invertible where
    Invertible: Distribution<Matrix<T, 2, 2>>, 

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

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, 

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, 

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