Struct flow_sdk::algorithms::secp256k1::rand::distributions::Exp

pub struct Exp { /* fields omitted */ }

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);

Implementations

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 Clone for Exp

pub fn clone(&self) -> Exp

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Exp

pub fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl Distribution<f64> for Exp

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

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

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

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

impl Copy for Exp