Struct rand::distributions::exponential::Exp   
                   
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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 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 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 Debug for Exp[src] 
impl Debug for Expfn fmt(&self, __arg_0: &mut Formatter) -> Result<(), Error>[src] 
fn fmt(&self, __arg_0: &mut Formatter) -> Result<(), Error>Formats the value using the given formatter. Read more
impl Sample<f64> for Exp[src] 
impl Sample<f64> for Exp