Struct rand_distr::Triangular
source · [−]pub struct Triangular<F> where
F: Float,
Standard: Distribution<F>, { /* private fields */ }Expand description
The triangular distribution.
A continuous probability distribution parameterised by a range, and a mode (most likely value) within that range.
The probability density function is triangular. For a similar distribution
with a smooth PDF, see the Pert distribution.
Example
use rand_distr::{Triangular, Distribution};
let d = Triangular::new(0., 5., 2.5).unwrap();
let v = d.sample(&mut rand::thread_rng());
println!("{} is from a triangular distribution", v);Implementations
sourceimpl<F> Triangular<F> where
F: Float,
Standard: Distribution<F>,
impl<F> Triangular<F> where
F: Float,
Standard: Distribution<F>,
sourcepub fn new(min: F, max: F, mode: F) -> Result<Triangular<F>, TriangularError>
pub fn new(min: F, max: F, mode: F) -> Result<Triangular<F>, TriangularError>
Set up the Triangular distribution with defined min, max and mode.
Trait Implementations
sourceimpl<F: Clone> Clone for Triangular<F> where
F: Float,
Standard: Distribution<F>,
impl<F: Clone> Clone for Triangular<F> where
F: Float,
Standard: Distribution<F>,
sourcefn clone(&self) -> Triangular<F>
fn clone(&self) -> Triangular<F>
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source. Read more
sourceimpl<F: Debug> Debug for Triangular<F> where
F: Float,
Standard: Distribution<F>,
impl<F: Debug> Debug for Triangular<F> where
F: Float,
Standard: Distribution<F>,
sourceimpl<F> Distribution<F> for Triangular<F> where
F: Float,
Standard: Distribution<F>,
impl<F> Distribution<F> for Triangular<F> where
F: Float,
Standard: Distribution<F>,
sourcefn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> F
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> F
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,
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,
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<F: Copy> Copy for Triangular<F> where
F: Float,
Standard: Distribution<F>,
Auto Trait Implementations
impl<F> RefUnwindSafe for Triangular<F> where
F: RefUnwindSafe,
impl<F> Send for Triangular<F> where
F: Send,
impl<F> Sync for Triangular<F> where
F: Sync,
impl<F> Unpin for Triangular<F> where
F: Unpin,
impl<F> UnwindSafe for Triangular<F> where
F: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcepub fn borrow_mut(&mut self) -> &mut T
pub 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.
sourcepub fn to_owned(&self) -> T
pub fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
sourcepub fn clone_into(&self, target: &mut T)
pub fn clone_into(&self, target: &mut T)
toowned_clone_into)Uses borrowed data to replace owned data, usually by cloning. Read more