Struct rand::distributions::Normal
source · [−]pub struct Normal { /* private fields */ }
👎 Deprecated since 0.7.0:
moved to rand_distr crate
Expand description
The normal distribution N(mean, std_dev**2)
.
This uses the ZIGNOR variant of the Ziggurat method, see StandardNormal
for more details.
Note that StandardNormal
is an optimised implementation for mean 0, and
standard deviation 1.
Implementations
Trait Implementations
sourceimpl Distribution<f64> for Normal
impl Distribution<f64> for Normal
sourcefn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64
Generate a random value of T
, using rng
as the source of randomness.
sourcefn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable traits for DistIter<D, R, T>impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;
where
R: Rng,
Self: Sized,
fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable traits for DistIter<D, R, T>impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;
where
R: Rng,
Self: Sized,
D: Distribution<T>,
R: Rng, type Item = T;
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl Copy for Normal
Auto Trait Implementations
impl RefUnwindSafe for Normal
impl Send for Normal
impl Sync for Normal
impl Unpin for Normal
impl UnwindSafe for Normal
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcefn clone_into(&self, target: &mut T)
fn clone_into(&self, target: &mut T)
🔬 This is a nightly-only experimental API. (
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more