rand::distributions::normal::Normal - Rust
Description: API documentation for the Rust `Normal` struct in crate `rand`.
Keywords: rust, rustlang, rust-lang, Normal

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

    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`
[src]

#### `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 Clone for Normal`
[src]

#### `fn clone(&self) -> Normal`
[src]

Returns a copy of the value. Read more

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

Performs copy-assignment from `source`. Read more

### `impl Copy for Normal`
[src]

### `impl Debug for Normal`
[src]

#### `fn fmt(&self, __arg_0: &mut Formatter) -> Result`
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Formats the value using the given formatter.

### `impl Sample<f64> for Normal`
[src]

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

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

### `impl IndependentSample<f64> for Normal`
[src]

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

Generate a random value.

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