ODE System solver for Python, implemented in Rust. This package calls the diffeq crate written in Rust. For the moment, only the Explicit Runge-Kutta of order 5(4) algorithm is used.
The syntax is the same as scipy's solve_ivp:
import diffeqr
dydt = lambda t, y: [y[i-1] for i in range(len(y))] # dy0/dt = y1, dy1/dt = y2, dy2/dt=y0
result = diffeqr.solve_ivp(fun=dydt, t_span=(0.0, 1.0), y0=[1.0, 2.0, 1.0j])Arguments:
fun: A function (or lambda) with two arguments, corresponding to the right-hand side ofdy/dt = f(t, y).tis a real number, andya vector (list/tuple) of real and/or complex numbers.t_span: Tuple containing the initial and final values oft,t=t0andt=tf.y0: Initial value ofyatt=t0.- All other arguments are, at the moment, ignored.
This method returns the solution for y at t=tf. Unlike scipy's version, it does not return y at intermediate points or any other information, although this might change in future versions.