scipy.integrate.ode.integrate¶

ode.integrate(t, step=False, relax=False)[source]¶

Find y=y(t), set y as an initial condition, and return y.

Parameters:

Parameters:	t : float The endpoint of the integration step. step : bool If True, and if the integrator supports the step method, then perform a single integration step and return. This parameter is provided in order to expose internals of the implementation, and should not be changed from its default value in most cases. relax : bool If True and if the integrator supports the run_relax method, then integrate until t_1 >= t and return. `relax` is not referenced if `step=True`. This parameter is provided in order to expose internals of the implementation, and should not be changed from its default value in most cases.
Returns:	y : float The integrated value at t

t : float: The endpoint of the integration step.
step : bool: If True, and if the integrator supports the step method, then perform a single integration step and return. This parameter is provided in order to expose internals of the implementation, and should not be changed from its default value in most cases.
relax : bool: If True and if the integrator supports the run_relax method, then integrate until t_1 >= t and return. relax is not referenced if step=True. This parameter is provided in order to expose internals of the implementation, and should not be changed from its default value in most cases.

Returns: