Struct rand::distributions::exponential::Exp [−][src]
pub struct Exp { /* fields omitted */ }The exponential distribution Exp(lambda).
This distribution has density function: f(x) = lambda * exp(-lambda * x) for x > 0.
Example
use rand::distributions::{Exp, IndependentSample}; let exp = Exp::new(2.0); let v = exp.ind_sample(&mut rand::thread_rng()); println!("{} is from a Exp(2) distribution", v);
Methods
impl Exp[src]
impl Exppub fn new(lambda: f64) -> Exp[src]
pub fn new(lambda: f64) -> ExpConstruct a new Exp with the given shape parameter
lambda. Panics if lambda <= 0.
Trait Implementations
impl IndependentSample<f64> for Exp[src]
impl IndependentSample<f64> for Expfn ind_sample<R>(&self, rng: &mut R) -> f64 where
R: Rng, [src]
fn ind_sample<R>(&self, rng: &mut R) -> f64 where
R: Rng, Generate a random value.
impl Copy for Exp[src]
impl Copy for Expimpl Clone for Exp[src]
impl Clone for Expfn clone(&self) -> Exp[src]
fn clone(&self) -> ExpReturns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)1.0.0[src]
fn clone_from(&mut self, source: &Self)1.0.0
[src]Performs copy-assignment from source. Read more
impl Sample<f64> for Exp[src]
impl Sample<f64> for Expfn sample<R>(&mut self, rng: &mut R) -> f64 where
R: Rng, [src]
fn sample<R>(&mut self, rng: &mut R) -> f64 where
R: Rng, Generate a random value of Support, using rng as the source of randomness. Read more
impl Debug for Exp[src]
impl Debug for Exp