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use ndarray::{
ArrayBase,
Data,
Dimension
};
use ode::Ode;
mod impl_euler;
mod impl_heun;
mod impl_runge_kutta_4;
#[cfg(feature="tuple")]
mod tuple_impls;
pub struct Euler<T> {
dt: f64,
temp: T,
}
pub struct Heun<T> {
dt: f64,
dt_2: f64,
temp: T,
k1: T,
k2: T,
}
pub struct RungeKutta4<T> {
dt: f64,
dt_2: f64,
dt_3: f64,
dt_6: f64,
temp: T,
k1: T,
k2: T,
k3: T,
k4: T,
}
pub trait Stepper
{
type State: Clone;
fn do_step<Sy>(&mut self, &mut Sy, &mut Self::State)
where Sy: Ode<State = Self::State>;
fn timestep(&self) -> f64;
fn integrate_n_steps<Sy>(&mut self, system: &mut Sy, state: &mut Self::State, n: usize) -> f64
where Sy: Ode<State = Self::State>
{
let mut tacc = 0f64;;
let dt = self.timestep();
for _ in 0..n {
self.do_step(system, state);
tacc += dt;
}
tacc
}
fn integrate_time<Sy>(&mut self, system: &mut Sy, state: &mut Self::State, t: f64) -> (f64, usize)
where Sy: Ode<State = Self::State>
{
let mut tacc = 0f64;;
let mut count = 0;
let dt = self.timestep();
while (tacc + dt) <= t {
self.do_step(system, state);
tacc += dt;
count += 1;
}
(tacc, count)
}
}
pub trait ZipMarker {}
impl<T> ZipMarker for Vec<T> {}
impl<D: Dimension, S: Data> ZipMarker for ArrayBase<S,D> {}