[][src]Struct rand::distributions::Normal

pub struct Normal { /* fields omitted */ }

The normal distribution N(mean, std_dev**2).

This uses the ZIGNOR variant of the Ziggurat method, see StandardNormal for more details.

Note that StandardNormal is an optimised implementation for mean 0, and standard deviation 1.

Example

use rand::distributions::{Normal, Distribution};

// mean 2, standard deviation 3
let normal = Normal::new(2.0, 3.0);
let v = normal.sample(&mut rand::thread_rng());
println!("{} is from a N(2, 9) distribution", v)

Methods

impl Normal[src]

pub fn new(mean: f64, std_dev: f64) -> Normal[src]

Construct a new Normal distribution with the given mean and standard deviation.

Panics

Panics if std_dev < 0.

Trait Implementations

impl Distribution<f64> for Normal[src]

impl Clone for Normal[src]

impl Copy for Normal[src]

impl Debug for Normal[src]

Auto Trait Implementations

impl Send for Normal

impl Unpin for Normal

impl Sync for Normal

impl UnwindSafe for Normal

impl RefUnwindSafe for Normal

Blanket Implementations

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> From<T> for T[src]

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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