Struct BogackiShampineFixedStep 

pub struct BogackiShampineFixedStep { /* private fields */ }

Explicit, three-stage, third-order, fixed-step, Runge-Kutta method.¹

\frac{dy}{dt} = f(t, y)

t_{n+1} = t_n + h

k_1 = f(t_n, y_n)

k_2 = f(t_n + \tfrac{1}{2} h, y_n + \tfrac{1}{2} h k_1)

k_3 = f(t_n + \tfrac{3}{4} h, y_n + \tfrac{3}{4} h k_2)

y_{n+1} = y_n + \frac{h}{9}\left(2k_1 + 3k_2 + 4k_3\right)

---

1. Fixed-step variant of the Bogacki-Shampine method. ↩

Trait Implementations

impl Debug for BogackiShampine

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

Formats the value using the given formatter.

impl Default for BogackiShampine

fn default() -> BogackiShampine

Returns the “default value” for a type.

impl<Y, U, V, T> Explicit<Y, U, V, T> for BogackiShampine

where Y: Differentiable<T> + Div<Quantity<T>, Output = Derivative<Y, T>> + Tensor, Derivative<Y, T>: Mul<Quantity<T>, Output = Y>, for<'a> &'a Y: Mul<Scalar, Output = Y> + Sub<&'a Y, Output = Y>, for<'a> &'a Derivative<Y, T>: Mul<Scalar, Output = Derivative<Y, T>> + Mul<Quantity<T>, Output = Y>, U: TensorVec<Item = Y>, V: TensorVec<Item = Derivative<Y, T>>,

const SLOPES: usize = 3

fn integrate( &self, function: impl FnMut(Quantity<T>, &Y) -> Result<Derivative<Y, T>, String>, time: &[Quantity<T>], initial_condition: Y, ) -> Result<(Times<T>, U, V), IntegrationError>

Solves an initial value problem by explicitly integrating a system of ordinary differential equations.

impl<T> FixedStep<T> for BogackiShampine

fn dt(&self) -> Quantity<T>

Returns the time step.

impl<Y, U, V, T> FixedStepExplicit<Y, U, V, T> for BogackiShampine

where Y: Differentiable<T> + Div<Quantity<T>, Output = Derivative<Y, T>> + Tensor, Derivative<Y, T>: Mul<Quantity<T>, Output = Y>, for<'a> &'a Y: Mul<Scalar, Output = Y> + Sub<&'a Y, Output = Y>, for<'a> &'a Derivative<Y, T>: Mul<Scalar, Output = Derivative<Y, T>> + Mul<Quantity<T>, Output = Y>, U: TensorVec<Item = Y>, V: TensorVec<Item = Derivative<Y, T>>,

type Tableau = Tableau

Butcher tableau of this method.

fn integrate_fixed_step( &self, function: impl FnMut(Quantity<T>, &Y) -> Result<Derivative<Y, T>, String>, time: &[Quantity<T>], initial_condition: Y, ) -> Result<(Times<T>, U, V), IntegrationError>

fn step( &self, function: impl FnMut(Quantity<T>, &Y) -> Result<Derivative<Y, T>, String>, y: &Y, t: Quantity<T>, dt: Quantity<T>, k: &mut [Derivative<Y, T>], y_trial: &mut Y, ) -> Result<(), String>

impl<Y, U> OdeIntegrator<Y, U> for BogackiShampine

where Y: Tensor, U: TensorVec<Item = Y>,