conspire/math/integrate/ode/
mod.rs

1use crate::math::{Norm, Quantity, Scalar, Tensor, TensorVec};
2use crate::units::Time;
3use std::fmt::Debug;
4
5pub(super) mod explicit;
6pub(super) mod implicit;
7
8/// Integrators for ordinary differential equations.
9pub trait OdeIntegrator<Y, U>
10where
11    Self: Debug,
12    Y: Tensor,
13    U: TensorVec<Item = Y>,
14{
15}
16
17/// Fixed-step integrators for ordinary differential equations.
18pub trait FixedStep<T = Time> {
19    /// Returns the time step.
20    fn dt(&self) -> Quantity<T>;
21}
22
23/// Variable-step integrators for ordinary differential equations.
24pub trait VariableStep<T = Time> {
25    /// Returns the absolute error tolerance.
26    fn abs_tol(&self) -> Scalar;
27    /// Returns the relative error tolerance.
28    fn rel_tol(&self) -> Scalar;
29    /// Returns the multiplier for adaptive time steps.
30    fn dt_beta(&self) -> Scalar;
31    /// Returns the exponent for adaptive time steps.
32    fn dt_expn(&self) -> Scalar;
33    /// Returns the cut back factor for function errors.
34    fn dt_cut(&self) -> Scalar;
35    /// Returns the growth factor ceiling for adaptive time steps.
36    fn dt_grow(&self) -> Scalar;
37    /// Returns the minimum value for the time step.
38    fn dt_min(&self) -> Quantity<T>;
39    /// Returns the norm type for error evaluation.
40    fn error_norm(&self) -> &Norm;
41}
conspire/math/integrate/ode/mod.rs

conspire/math/integrate/ode/
mod.rs
