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);
Jurgen A. Doornik (2005). An Improved Ziggurat Method to Generate Normal Random Samples. Nuffield College, Oxford ↩
Trait Implementations§
Source§impl Distribution<f32> for Exp1
impl Distribution<f32> for Exp1
Source§impl Distribution<f64> for Exp1
impl Distribution<f64> for Exp1
impl Copy for Exp1
Auto Trait Implementations§
impl Freeze for Exp1
impl RefUnwindSafe for Exp1
impl Send for Exp1
impl Sync for Exp1
impl Unpin for Exp1
impl UnwindSafe for Exp1
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
Layout§
Note: Most layout information is completely unstable and may even differ between compilations. The only exception is types with certain repr(...)
attributes. Please see the Rust Reference's “Type Layout” chapter for details on type layout guarantees.
Size: 0 bytes