nyx_space/propagators/rk_methods/mod.rs
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/*
Nyx, blazing fast astrodynamics
Copyright (C) 2018-onwards Christopher Rabotin <christopher.rabotin@gmail.com>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
mod rk;
use std::str::FromStr;
use serde::Deserialize;
use serde::Serialize;
use crate::io::ConfigError;
use self::rk::*;
mod dormand;
use self::dormand::*;
mod verner;
use self::verner::*;
use super::PropagationError;
/// The `RK` trait defines a Runge Kutta integrator.
#[allow(clippy::upper_case_acronyms)]
trait RK
where
Self: Sized,
{
/// Returns the order of this integrator (as u8 because there probably isn't an order greater than 255).
/// The order is used for the adaptive step size only to compute the error between estimates.
const ORDER: u8;
/// Returns the stages of this integrator (as usize because it's used as indexing)
const STAGES: usize;
/// Returns a pointer to a list of f64 corresponding to the A coefficients of the Butcher table for that RK.
/// This module only supports *implicit* integrators, and as such, `Self.a_coeffs().len()` must be of
/// size (order+1)*(order)/2.
/// *Warning:* this RK trait supposes that the implementation is consistent, i.e. c_i = \sum_j a_{ij}.
const A_COEFFS: &'static [f64];
/// Returns a pointer to a list of f64 corresponding to the b_i and b^*_i coefficients of the
/// Butcher table for that RK. `Self.a_coeffs().len()` must be of size (order+1)*2.
const B_COEFFS: &'static [f64];
}
/// Enum of supported integration methods, all of which are part of the Runge Kutta family of ordinary differential equation (ODE) solvers.
/// Nomenclature: X-Y means that this is an X order solver with a Y order error correction step.
#[derive(Copy, Clone, Debug, PartialEq, Eq, Serialize, Deserialize)]
pub enum IntegratorMethod {
/// Runge Kutta 8-9 is the recommended integrator for most application.
RungeKutta89,
/// `Dormand78` is a [Dormand-Prince integrator](https://en.wikipedia.org/wiki/Dormand%E2%80%93Prince_method). Coefficients taken from GMAT `src/base/propagator/PrinceDormand78.cpp`.
DormandPrince78,
/// `Dormand45` is a [Dormand-Prince integrator](https://en.wikipedia.org/wiki/Dormand%E2%80%93Prince_method).
DormandPrince45,
/// Runge Kutta 4 is a fixed step solver.
RungeKutta4,
/// Runge Kutta 4-5 [Cash Karp integrator](https://en.wikipedia.org/wiki/Cash%E2%80%93Karp_method).
CashKarp45,
/// Verner56 is an RK Verner integrator of order 5-6. Coefficients taken from [here (PDF)](http://people.math.sfu.ca/~jverner/classify.1992.ps).
Verner56,
}
impl IntegratorMethod {
/// Returns the order of this integrator (as u8 because there probably isn't an order greater than 255).
/// The order is used for the adaptive step size only to compute the error between estimates.
pub const fn order(self) -> u8 {
match self {
Self::RungeKutta89 => RK89::ORDER,
Self::DormandPrince78 => Dormand78::ORDER,
Self::DormandPrince45 => Dormand45::ORDER,
Self::RungeKutta4 => RK4Fixed::ORDER,
Self::CashKarp45 => CashKarp45::ORDER,
Self::Verner56 => Verner56::ORDER,
}
}
/// Returns the stages of this integrator, i.e. how many times the derivatives will be called
pub const fn stages(self) -> usize {
match self {
Self::RungeKutta89 => RK89::STAGES,
Self::DormandPrince78 => Dormand78::STAGES,
Self::DormandPrince45 => Dormand45::STAGES,
Self::RungeKutta4 => RK4Fixed::STAGES,
Self::CashKarp45 => CashKarp45::STAGES,
Self::Verner56 => Verner56::STAGES,
}
}
/// Returns a pointer to a list of f64 corresponding to the A coefficients of the Butcher table for that RK.
/// This module only supports *implicit* integrators, and as such, `Self.a_coeffs().len()` must be of
/// size (order+1)*(order)/2.
/// *Warning:* this RK trait supposes that the implementation is consistent, i.e. c_i = \sum_j a_{ij}.
pub const fn a_coeffs(self) -> &'static [f64] {
match self {
Self::RungeKutta89 => RK89::A_COEFFS,
Self::DormandPrince78 => Dormand78::A_COEFFS,
Self::DormandPrince45 => Dormand45::A_COEFFS,
Self::RungeKutta4 => RK4Fixed::A_COEFFS,
Self::CashKarp45 => CashKarp45::A_COEFFS,
Self::Verner56 => Verner56::A_COEFFS,
}
}
/// Returns a pointer to a list of f64 corresponding to the b_i and b^*_i coefficients of the
/// Butcher table for that RK. `Self.a_coeffs().len()` must be of size (order+1)*2.
pub const fn b_coeffs(self) -> &'static [f64] {
match self {
Self::RungeKutta89 => RK89::B_COEFFS,
Self::DormandPrince78 => Dormand78::B_COEFFS,
Self::DormandPrince45 => Dormand45::B_COEFFS,
Self::RungeKutta4 => RK4Fixed::B_COEFFS,
Self::CashKarp45 => CashKarp45::B_COEFFS,
Self::Verner56 => Verner56::B_COEFFS,
}
}
}
impl Default for IntegratorMethod {
fn default() -> Self {
Self::RungeKutta89
}
}
impl FromStr for IntegratorMethod {
type Err = PropagationError;
fn from_str(s: &str) -> Result<Self, Self::Err> {
match s.to_lowercase().as_str() {
"rungekutta89" => Ok(Self::RungeKutta89),
"dormandprince78" => Ok(Self::DormandPrince78),
"dormandprince45" => Ok(Self::DormandPrince45),
"rungekutta4" => Ok(Self::RungeKutta4),
"cashkarp45" => Ok(Self::CashKarp45),
"verner56" => Ok(Self::Verner56),
_ => {
let valid = [
"RungeKutta89",
"DormandPrince78",
"DormandPrince45",
"RungeKutta4",
"CashKarp45",
"Verner56",
];
let valid_msg = valid.join(",");
Err(PropagationError::PropConfigError {
source: ConfigError::InvalidConfig {
msg: format!("unknow integration method `{s}`, must be one of {valid_msg}"),
},
})
}
}
}
}
#[cfg(test)]
mod ut_propagator {
use std::str::FromStr;
use super::IntegratorMethod;
#[test]
fn from_str_ok() {
let valid = [
"RungeKutta89",
"DormandPrince78",
"DormandPrince45",
"RungeKutta4",
"CashKarp45",
"Verner56",
];
for method in valid {
assert!(IntegratorMethod::from_str(method.to_uppercase().as_str()).is_ok());
}
assert!(IntegratorMethod::from_str("blah").is_err());
}
}