Using scipy.integrate.complex_ode instead of scipy.integrate.ode

Question

I am trying to use complex_ode method instead of ode method in scipy.integrate. The help page for complex_ode does not provide example, so I may have done something wrong.

Answer 1

This would appear to be a known bug in scipy.integrate. It seems that additional argument passing is broken in complex_ode. You could try and see if they have fixed it in a newer release (although this bug report suggests they haven't), or just restrict yourself to your own wrapper functions without additional arguments when using complex_ode. For example, a hacky solution for your example could be something like:

from scipy.integrate import complex_ode

class myfuncs(object):
    def __init__(self, f, jac, fargs=[], jacargs=[]):

        self._f = f
        self._jac = jac
        self.fargs=fargs
        self.jacargs=jacargs

    def f(self, t, y):
        return self._f(t, y, *self.fargs)

    def jac(self, t, y):
        return self._jac(t, y, *self.jacargs)

def f(t, y, arg1):
    return [1j*arg1*y[0] + y[1], -arg1*y[1]**2]

def jac(t, y, arg1):
    return [[1j*arg1, 1], [0, -arg1*2*y[1]]]

y0, t0 = [1.0j, 2.0], 0
case = myfuncs(f, jac, fargs=[2.], jacargs=[2.])
r = complex_ode(case.f, case.jac)
r.set_initial_value(y0, t0)

t1 = 10
dt = 1
while r.successful() and r.t < t1:
    r.integrate(r.t+dt)
    print(r.t, r.y)