Struct MittagLefflerKernel 

pub struct MittagLefflerKernel<S: Scalar> {
    pub lambda: S,
    pub alpha: S,
    pub beta: S,
}

Mittag-Leffler kernel (for fractional derivatives).

K(τ) = τ^(β-1) * E_{α,β}(-λ * τ^α)

Reduces to exponential when α = β = 1.

Fields

lambda: S

Rate parameter λ

alpha: S

First ML parameter α

beta: S

Second ML parameter β

Implementations

impl<S: Scalar> MittagLefflerKernel<S>

pub fn new(lambda: S, alpha: S, beta: S) -> Self

pub fn relaxation(lambda: S, alpha: S) -> Self

Standard relaxation kernel with α = β.

Trait Implementations

impl<S: Clone + Scalar> Clone for MittagLefflerKernel<S>

fn clone(&self) -> MittagLefflerKernel<S>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<S: Debug + Scalar> Debug for MittagLefflerKernel<S>

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

Formats the value using the given formatter.

impl<S: Scalar> Kernel<S> for MittagLefflerKernel<S>

fn evaluate(&self, tau: S) -> S

Evaluate the kernel at time lag τ.

fn as_prony(&self) -> Option<(Vec<S>, Vec<S>)>

Check if the kernel is a sum of exponentials (Prony series).