Struct ndarray_odeint::diag::Diagonal

pub struct Diagonal<A, D> where
    A: OdeScalar<f64> + Exponential,
    D: Dimension,  { /* fields omitted */ }

Linear ODE with diagonalized matrix (exactly solvable)

Methods

impl<A, D> Diagonal<A, D> where
    A: OdeScalar<f64> + Exponential,
    D: Dimension, 

fn new(diag_of_matrix: RcArray<A, D>, dt: f64) -> Self

Trait Implementations

impl<A, D> TimeStep for Diagonal<A, D> where
    A: OdeScalar<f64> + Exponential,
    D: Dimension, 

fn get_dt(&self) -> f64

fn set_dt(&mut self, dt: f64)

impl<'a, A, D> TimeEvolution<A, OwnedRcRepr<A>, D> for &'a Diagonal<A, D> where
    A: OdeScalar<f64> + Exponential,
    D: Dimension, 

fn iterate(self, x: RcArray<A, D>) -> RcArray<A, D>

calculate next step

impl<'a, A, D> TimeEvolution<A, ViewRepr<&'a mut A>, D> for &'a Diagonal<A, D> where
    A: OdeScalar<f64> + Exponential,
    D: Dimension, 

fn iterate(self, x: ArrayViewMut<A, D>) -> ArrayViewMut<A, D>

calculate next step