# Struct rand_distr::Exp

source · `pub struct Exp<F>{ /* private fields */ }`

## Expand description

The exponential distribution `Exp(lambda)`

.

This distribution has density function: `f(x) = lambda * exp(-lambda * x)`

for `x > 0`

, when `lambda > 0`

. For `lambda = 0`

, all samples yield infinity.

Note that `Exp1`

is an optimised implementation for `lambda = 1`

.

## §Example

```
use rand_distr::{Exp, Distribution};
let exp = Exp::new(2.0).unwrap();
let v = exp.sample(&mut rand::thread_rng());
println!("{} is from a Exp(2) distribution", v);
```

## Implementations§

## Trait Implementations§

source§### impl<'de, F> Deserialize<'de> for Exp<F>

### impl<'de, F> Deserialize<'de> for Exp<F>

source§#### fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,

#### fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more

source§### impl<F> Distribution<F> for Exp<F>

### impl<F> Distribution<F> for Exp<F>

source§### impl<F> PartialEq for Exp<F>

### impl<F> PartialEq for Exp<F>

### impl<F> Copy for Exp<F>

### impl<F> StructuralPartialEq for Exp<F>

## Auto Trait Implementations§

### impl<F> RefUnwindSafe for Exp<F>where
F: RefUnwindSafe,

### impl<F> Send for Exp<F>where
F: Send,

### impl<F> Sync for Exp<F>where
F: Sync,

### impl<F> Unpin for Exp<F>where
F: Unpin,

### impl<F> UnwindSafe for Exp<F>where
F: UnwindSafe,

## 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

Mutably borrows from an owned value. Read more