[][src]Struct rand::distributions::StandardNormal

pub struct StandardNormal;
Deprecated since 0.7.0:

moved to rand_distr crate

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.


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

Trait Implementations

impl Distribution<f64> for StandardNormal[src]

Important traits for DistIter<D, R, T>
fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized
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Create an iterator that generates random values of T, using rng as the source of randomness. Read more

impl Clone for StandardNormal[src]

fn clone_from(&mut self, source: &Self)1.0.0[src]

Performs copy-assignment from source. Read more

impl Copy for StandardNormal[src]

impl Debug for StandardNormal[src]

Auto Trait Implementations

impl Send for StandardNormal

impl Sync for StandardNormal

Blanket Implementations

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

impl<T> ToOwned for T where
    T: Clone
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type Owned = T

The resulting type after obtaining ownership.

impl<T, U> Into<U> for T where
    U: From<T>, 
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impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> Borrow<T> for T where
    T: ?Sized
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impl<T> Any for T where
    T: 'static + ?Sized
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impl<V, T> VZip<V> for T where
    V: MultiLane<T>, 
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