# Struct rand_distr::Geometric

source · `pub struct Geometric { /* private fields */ }`

## Expand description

The geometric distribution `Geometric(p)`

bounded to `[0, u64::MAX]`

.

This is the probability distribution of the number of failures before the
first success in a series of Bernoulli trials. It has the density function
`f(k) = (1 - p)^k p`

for `k >= 0`

, where `p`

is the probability of success
on each trial.

This is the discrete analogue of the exponential distribution.

Note that `StandardGeometric`

is an optimised
implementation for `p = 0.5`

.

## §Example

```
use rand_distr::{Geometric, Distribution};
let geo = Geometric::new(0.25).unwrap();
let v = geo.sample(&mut rand::thread_rng());
println!("{} is from a Geometric(0.25) distribution", v);
```

## Implementations§

## Trait Implementations§

source§### impl<'de> Deserialize<'de> for Geometric

### impl<'de> Deserialize<'de> for Geometric

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 Distribution<u64> for Geometric

### impl Distribution<u64> for Geometric

source§### impl PartialEq for Geometric

### impl PartialEq for Geometric

### impl Copy for Geometric

### impl StructuralPartialEq for Geometric

## Auto Trait Implementations§

### impl RefUnwindSafe for Geometric

### impl Send for Geometric

### impl Sync for Geometric

### impl Unpin for Geometric

### impl UnwindSafe for Geometric

## 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