Struct rand_distr::Exp1[][src]

pub struct Exp1;
Expand description

Samples floating-point numbers according to the exponential distribution, with rate parameter λ = 1. This is equivalent to Exp::new(1.0) or sampling with -rng.gen::<f64>().ln(), but faster.

See Exp for the general exponential distribution.

Implemented via the ZIGNOR variant1 of the Ziggurat method. The exact description in the paper was adjusted to use tables for the exponential distribution rather than normal.

Example

use rand::prelude::*;
use rand_distr::Exp1;

let val: f64 = thread_rng().sample(Exp1);
println!("{}", val);

  1. Jurgen A. Doornik (2005). An Improved Ziggurat Method to Generate Normal Random Samples. Nuffield College, Oxford 

Trait Implementations

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Formats the value using the given formatter. Read more

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

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

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F Read more

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

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

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F Read more

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The resulting type after obtaining ownership.

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The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.