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.

Example

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

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

Methods

impl Normal

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

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

Panics

Panics if std_dev < 0.

Trait Implementations

impl Debug for Normal

fn fmt(&self, __arg_0: &mut Formatter) -> Result<(), Error>

Formats the value using the given formatter.

impl IndependentSample<f64> for Normal

fn ind_sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng, 

Generate a random value.

impl Copy for Normal

impl Clone for Normal

fn clone(&self) -> Normal

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Sample<f64> for Normal

fn sample<R>(&mut self, rng: &mut R) -> f64 where
    R: Rng, 

Generate a random value of Support, using rng as the source of randomness.