Trait opendp::samplers::SampleGaussian[−][src]

pub trait SampleGaussian: Sized {
    fn sample_gaussian(
        shift: Self, 
        scale: Self, 
        constant_time: bool
    ) -> Fallible<Self>;
}

Required methods

[src]

fn sample_gaussian(
    shift: Self,
    scale: Self,
    constant_time: bool
) -> Fallible<Self>

Generates a draw from a Gaussian(loc, scale) distribution using the MPFR library.

If shift = 0 and scale = 1, sampling is done in a way that respects exact rounding. Otherwise, the return will be the result of a composition of two operations that respect exact rounding (though the result will not necessarily).

Arguments

shift - The expectation of the Gaussian distribution.
scale - The scaling parameter (standard deviation) of the Gaussian distribution.
constant_time - Force underlying computations to run in constant time.

Return

Draw from Gaussian(loc, scale)

Example

use opendp::samplers::SampleGaussian;
let gaussian = f64::sample_gaussian(0.0, 1.0, false);

Implementors