conspire/math/integrate/ode/explicit/fixed_step/verner_9/
mod.rs1#[cfg(test)]
2mod test;
3
4use crate::math::{
5 Derivative, Differentiable, Quantity, Scalar, Tensor, TensorVec,
6 integrate::{
7 Explicit, FixedStep, FixedStepExplicit, IntegrationError, OdeIntegrator, Spectrum, Times,
8 ode::explicit::variable_step::verner_9::Tableau as Verner9Tableau,
9 },
10};
11use std::ops::{Mul, Sub};
12
13#[doc = include_str!("doc.md")]
14#[derive(Debug, Default)]
15pub struct Verner9 {
16 dt: Scalar,
18}
19
20impl<Y, U> OdeIntegrator<Y, U> for Verner9
21where
22 Y: Tensor,
23 U: TensorVec<Item = Y>,
24{
25}
26
27impl<T> FixedStep<T> for Verner9 {
28 fn dt(&self) -> Quantity<T> {
29 Quantity::new(self.dt)
30 }
31}
32
33impl<Y, U, V, T> Explicit<Y, U, V, T> for Verner9
34where
35 Y: Differentiable<T> + Tensor,
36 Derivative<Y, T>: Mul<Quantity<T>, Output = Y>,
37 for<'a> &'a Y: Mul<Scalar, Output = Y> + Sub<&'a Y, Output = Y>,
38 for<'a> &'a Derivative<Y, T>:
39 Mul<Scalar, Output = Derivative<Y, T>> + Mul<Quantity<T>, Output = Y>,
40 U: TensorVec<Item = Y>,
41 V: TensorVec<Item = Derivative<Y, T>>,
42{
43 const SLOPES: usize = 15;
44 fn integrate(
45 &self,
46 function: impl FnMut(Quantity<T>, &Y) -> Result<Derivative<Y, T>, String>,
47 time: &[Quantity<T>],
48 initial_condition: Y,
49 ) -> Result<(Times<T>, U, V), IntegrationError> {
50 self.integrate_fixed_step(function, time, initial_condition)
51 }
52 fn integrate_bounded(
53 &self,
54 function: impl FnMut(Quantity<T>, &Y) -> Result<Derivative<Y, T>, String>,
55 bound: impl FnMut(Quantity<T>, &Y) -> Result<Spectrum<T>, String>,
56 safety: Scalar,
57 time: &[Quantity<T>],
58 initial_condition: Y,
59 ) -> Result<(Times<T>, U, V), IntegrationError> {
60 self.integrate_fixed_step_bounded(function, bound, safety, time, initial_condition)
61 }
62}
63
64impl<Y, U, V, T> FixedStepExplicit<Y, U, V, T> for Verner9
65where
66 Y: Differentiable<T> + Tensor,
67 Derivative<Y, T>: Mul<Quantity<T>, Output = Y>,
68 for<'a> &'a Y: Mul<Scalar, Output = Y> + Sub<&'a Y, Output = Y>,
69 for<'a> &'a Derivative<Y, T>:
70 Mul<Scalar, Output = Derivative<Y, T>> + Mul<Quantity<T>, Output = Y>,
71 U: TensorVec<Item = Y>,
72 V: TensorVec<Item = Derivative<Y, T>>,
73{
74 type Tableau = Verner9Tableau;
75}