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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -514,8 +514,11 @@ scipy.integrate.solve_ivp(fun, t_span, y0, method='RK45', t_eval=None, dense_out
>
> This function numerically integrates a system of ordinary differential equations given an initial value:
>
$$dy / dt = f(t, y)$$
$$y(t0) = y0$$
> Here t is a 1-D independent variable (time), y(t) is an N-D vector-valued function (state), and an N-D vector-valued function f(t, y) determines the differential equations. The goal is to find y(t) approximately satisfying the differential equations, given an initial value y(t0)=y0.
>
> Some of the solvers support integration in the complex domain, but note that for stiff ODE solvers, the right-hand side must be complex-differentiable (satisfy Cauchy-Riemann equations). To solve a problem in the complex domain, pass y0 with a complex data type. Another option always available is to rewrite your problem for real and imaginary parts separately.