Struct rand::distributions::Exp

[+] Show declaration

pub struct Exp { /* fields omitted */ }

[−] Expand description

The exponential distribution Exp(lambda).

This distribution has density function: f(x) = lambda * exp(-lambda * x) for x > 0.

Note that Exp1 is an optimised implementation for lambda = 1.

Example

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

let exp = Exp::new(2.0);
let v = exp.sample(&mut rand::thread_rng());
println!("{} is from a Exp(2) distribution", v);

Methods

impl Exp[−]

pub fn new(lambda: f64) -> Exp[−]

Construct a new Exp with the given shape parameter lambda. Panics if lambda <= 0.

Trait Implementations

impl Distribution<f64> for Exp[+]

[+] Show hidden undocumented items

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.

impl Clone for Exp[+]

[+] Show hidden undocumented items

fn clone(&self) -> Exp[−]

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)[−]

Performs copy-assignment from source.

impl Copy for Exp

impl Debug for Exp[+]

[+] Show hidden undocumented items

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

Formats the value using the given formatter.