Struct rand::distributions::Triangular

pub struct Triangular { /* fields omitted */ }

The triangular distribution.

Example

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

let d = Triangular::new(0., 5., 2.5);
let v = d.sample(&mut rand::thread_rng());
println!("{} is from a triangular distribution", v);

Methods

impl Triangular

pub fn new(min: f64, max: f64, mode: f64) -> Triangular

Construct a new Triangular with minimum min, maximum max and mode mode.

Panics

If max < mode, mode < max or max == min.

Trait Implementations

impl Clone for Triangular

fn clone(&self) -> Triangular

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for Triangular

impl Debug for Triangular

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Distribution<f64> for Triangular

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

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

Important traits for DistIter<'a, D, R, T>

impl<'a, D, R, T> Iterator for DistIter<'a, D, R, T> where
    D: Distribution<T>,
    R: Rng + 'a,  type Item = T;

fn sample_iter<'a, R>(&'a self, rng: &'a mut R) -> DistIter<'a, Self, R, T> where     Self: Sized,     R: Rng,

Create an iterator that generates random values of T, using rng as the source of randomness.