# Struct rand::distributions::normal::Normal [−] [src]

    pub struct Normal {
        // some 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`

#### `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 Sample<f64> for Normal`

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

### `impl IndependentSample<f64> for Normal`

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

### Derived Implementations

### `impl Copy for Normal`

### `impl Clone for Normal`

#### `fn clone(&self) -> Normal`

#### `fn clone_from(&mut self, source: &Self)`1.0.0

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