Struct ndarray_rand::rand_distr::StandardNormal[][src]

pub struct StandardNormal;

Samples floating-point numbers according to the normal distribution N(0, 1) (a.k.a. a standard normal, or Gaussian). This is equivalent to Normal::new(0.0, 1.0) but faster.

See Normal for the general normal distribution.

Implemented via the ZIGNOR variant1 of the Ziggurat method.

Example

use rand::prelude::*;
use rand_distr::StandardNormal;

let val: f64 = thread_rng().sample(StandardNormal);
println!("{}", val);

  1. Jurgen A. Doornik (2005). An Improved Ziggurat Method to Generate Normal Random Samples. Nuffield College, Oxford 

Trait Implementations

impl Clone for StandardNormal[src]

impl Copy for StandardNormal[src]

impl Debug for StandardNormal[src]

impl Distribution<f32> for StandardNormal[src]

impl Distribution<f64> for StandardNormal[src]

Auto Trait Implementations

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
[src]

impl<T> Borrow<T> for T where
    T: ?Sized
[src]

impl<T> BorrowMut<T> for T where
    T: ?Sized
[src]

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
[src]

impl<T> ToOwned for T where
    T: Clone
[src]

type Owned = T

The resulting type after obtaining ownership.

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
[src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<V, T> VZip<V> for T where
    V: MultiLane<T>,