conspire/math/integrate/dormand_prince/
mod.rs1#[cfg(test)]
2mod test;
3
4use super::{
5 super::{Scalar, Tensor, TensorVec, Vector, interpolate::InterpolateSolution},
6 Explicit, IntegrationError,
7};
8use crate::{ABS_TOL, REL_TOL};
9use std::ops::{Mul, Sub};
10
11const C_44_45: Scalar = 44.0 / 45.0;
12const C_56_15: Scalar = 56.0 / 15.0;
13const C_32_9: Scalar = 32.0 / 9.0;
14const C_8_9: Scalar = 8.0 / 9.0;
15const C_19372_6561: Scalar = 19372.0 / 6561.0;
16const C_25360_2187: Scalar = 25360.0 / 2187.0;
17const C_64448_6561: Scalar = 64448.0 / 6561.0;
18const C_212_729: Scalar = 212.0 / 729.0;
19const C_9017_3168: Scalar = 9017.0 / 3168.0;
20const C_355_33: Scalar = 355.0 / 33.0;
21const C_46732_5247: Scalar = 46732.0 / 5247.0;
22const C_49_176: Scalar = 49.0 / 176.0;
23const C_5103_18656: Scalar = 5103.0 / 18656.0;
24const C_35_384: Scalar = 35.0 / 384.0;
25const C_500_1113: Scalar = 500.0 / 1113.0;
26const C_125_192: Scalar = 125.0 / 192.0;
27const C_2187_6784: Scalar = 2187.0 / 6784.0;
28const C_11_84: Scalar = 11.0 / 84.0;
29const C_71_57600: Scalar = 71.0 / 57600.0;
30const C_71_16695: Scalar = 71.0 / 16695.0;
31const C_71_1920: Scalar = 71.0 / 1920.0;
32const C_17253_339200: Scalar = 17253.0 / 339200.0;
33const C_22_525: Scalar = 22.0 / 525.0;
34
35#[derive(Debug)]
76pub struct DormandPrince {
77 pub abs_tol: Scalar,
79 pub rel_tol: Scalar,
81 pub dt_beta: Scalar,
83 pub dt_expn: Scalar,
85}
86
87impl Default for DormandPrince {
88 fn default() -> Self {
89 Self {
90 abs_tol: ABS_TOL,
91 rel_tol: REL_TOL,
92 dt_beta: 0.9,
93 dt_expn: 5.0,
94 }
95 }
96}
97
98impl<Y, U> Explicit<Y, U> for DormandPrince
99where
100 Self: InterpolateSolution<Y, U>,
101 Y: Tensor,
102 for<'a> &'a Y: Mul<Scalar, Output = Y> + Sub<&'a Y, Output = Y>,
103 U: TensorVec<Item = Y>,
104{
105 const SLOPES: usize = 7;
106 fn slopes(
107 &self,
108 mut function: impl FnMut(Scalar, &Y) -> Result<Y, String>,
109 y: &Y,
110 t: &Scalar,
111 dt: &Scalar,
112 k: &mut [Y],
113 y_trial: &mut Y,
114 ) -> Result<Scalar, String> {
115 k[1] = function(t + 0.2 * dt, &(&k[0] * (0.2 * dt) + y))?;
116 k[2] = function(
117 t + 0.3 * dt,
118 &(&k[0] * (0.075 * dt) + &k[1] * (0.225 * dt) + y),
119 )?;
120 k[3] = function(
121 t + 0.8 * dt,
122 &(&k[0] * (C_44_45 * dt) - &k[1] * (C_56_15 * dt) + &k[2] * (C_32_9 * dt) + y),
123 )?;
124 k[4] = function(
125 t + C_8_9 * dt,
126 &(&k[0] * (C_19372_6561 * dt) - &k[1] * (C_25360_2187 * dt)
127 + &k[2] * (C_64448_6561 * dt)
128 - &k[3] * (C_212_729 * dt)
129 + y),
130 )?;
131 k[5] = function(
132 t + dt,
133 &(&k[0] * (C_9017_3168 * dt) - &k[1] * (C_355_33 * dt)
134 + &k[2] * (C_46732_5247 * dt)
135 + &k[3] * (C_49_176 * dt)
136 - &k[4] * (C_5103_18656 * dt)
137 + y),
138 )?;
139 *y_trial = (&k[0] * C_35_384 + &k[2] * C_500_1113 + &k[3] * C_125_192
140 - &k[4] * C_2187_6784
141 + &k[5] * C_11_84)
142 * *dt
143 + y;
144 k[6] = function(t + dt, y_trial)?;
145 Ok(
146 ((&k[0] * C_71_57600 - &k[2] * C_71_16695 + &k[3] * C_71_1920
147 - &k[4] * C_17253_339200
148 + &k[5] * C_22_525
149 - &k[6] * 0.025)
150 * *dt)
151 .norm_inf(),
152 )
153 }
154 fn step(
155 &self,
156 _function: impl FnMut(Scalar, &Y) -> Result<Y, String>,
157 y: &mut Y,
158 t: &mut Scalar,
159 y_sol: &mut U,
160 t_sol: &mut Vector,
161 dydt_sol: &mut U,
162 dt: &mut Scalar,
163 k: &mut [Y],
164 y_trial: &Y,
165 e: &Scalar,
166 ) -> Result<(), String> {
167 if e < &self.abs_tol || e / y_trial.norm_inf() < self.rel_tol {
168 k[0] = k[6].clone();
169 *t += *dt;
170 *y = y_trial.clone();
171 t_sol.push(*t);
172 y_sol.push(y.clone());
173 dydt_sol.push(k[0].clone());
174 }
175 if e > &0.0 {
176 *dt *= self.dt_beta * (self.abs_tol / e).powf(1.0 / self.dt_expn)
177 }
178 Ok(())
179 }
180}
181
182impl<Y, U> InterpolateSolution<Y, U> for DormandPrince
183where
184 Y: Tensor,
185 for<'a> &'a Y: Mul<Scalar, Output = Y> + Sub<&'a Y, Output = Y>,
186 U: TensorVec<Item = Y>,
187{
188 fn interpolate(
189 &self,
190 time: &Vector,
191 tp: &Vector,
192 yp: &U,
193 mut function: impl FnMut(Scalar, &Y) -> Result<Y, String>,
194 ) -> Result<(U, U), IntegrationError> {
195 let mut dt;
196 let mut i;
197 let mut k_1;
198 let mut k_2;
199 let mut k_3;
200 let mut k_4;
201 let mut k_5;
202 let mut k_6;
203 let mut t;
204 let mut y;
205 let mut y_int = U::new();
206 let mut dydt_int = U::new();
207 let mut y_trial;
208 for time_k in time.iter() {
209 i = tp.iter().position(|tp_i| tp_i >= time_k).unwrap();
210 if time_k == &tp[i] {
211 t = tp[i];
212 y_trial = yp[i].clone();
213 dt = 0.0;
214 } else {
215 t = tp[i - 1];
216 y = yp[i - 1].clone();
217 dt = time_k - t;
218 k_1 = function(t, &y)?;
219 k_2 = function(t + 0.2 * dt, &(&k_1 * (0.2 * dt) + &y))?;
220 k_3 = function(
221 t + 0.3 * dt,
222 &(&k_1 * (0.075 * dt) + &k_2 * (0.225 * dt) + &y),
223 )?;
224 k_4 = function(
225 t + 0.8 * dt,
226 &(&k_1 * (C_44_45 * dt) - &k_2 * (C_56_15 * dt) + &k_3 * (C_32_9 * dt) + &y),
227 )?;
228 k_5 = function(
229 t + C_8_9 * dt,
230 &(&k_1 * (C_19372_6561 * dt) - &k_2 * (C_25360_2187 * dt)
231 + &k_3 * (C_64448_6561 * dt)
232 - &k_4 * (C_212_729 * dt)
233 + &y),
234 )?;
235 k_6 = function(
236 t + dt,
237 &(&k_1 * (C_9017_3168 * dt) - &k_2 * (C_355_33 * dt)
238 + &k_3 * (C_46732_5247 * dt)
239 + &k_4 * (C_49_176 * dt)
240 - &k_5 * (C_5103_18656 * dt)
241 + &y),
242 )?;
243 y_trial = (&k_1 * C_35_384 + &k_3 * C_500_1113 + &k_4 * C_125_192
244 - &k_5 * C_2187_6784
245 + &k_6 * C_11_84)
246 * dt
247 + &y;
248 }
249 dydt_int.push(function(t + dt, &y_trial)?);
250 y_int.push(y_trial);
251 }
252 Ok((y_int, dydt_int))
253 }
254}