Struct multivariate_optimization::distributions::NormDist

pub struct NormDist<T> {
    pub average: T,
    pub stddev: T,
}

Univariate (non-standard) normal distribtion with given average and standard deviation.

Fields

average: T

Average of created samples.

stddev: T

Standard deviation of created samples.

Implementations

impl<T> NormDist<T>

pub const fn new(average: T, stddev: T) -> NormDist<T>

Create distribution with given average and standard deviation.

Trait Implementations

impl<T: Clone> Clone for NormDist<T>

fn clone(&self) -> NormDist<T>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T: Debug> Debug for NormDist<T>

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

Formats the value using the given formatter.

impl<T: Num> Distribution<T> for NormDist<T>

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

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

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>where R: Rng, Self: Sized,

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

fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S>where F: Fn(T) -> S, Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F