SciPy Recipes

How to do it...

Some parameters are included in the following tables; we need to execute them:

1. Get the function accordingly
2. Name the following parameters
3. Execute it
4. Get the solution

Parameters

func: callable(y, t0, ...). This computes the derivative of y at t0. y0: Array. The initial condition on y (can be a vector). t: Array. A sequence of time points for which to solve for y. The initial value point should be the first element of this sequence. args: Tuple, optional. Extra arguments to pass to the function. Dfun: callable(y, t0, ...). The gradient (Jacobian) of func. col_deriv: bool, optional. True if Dfun defines derivatives down columns (faster); otherwise Dfun should define derivatives across rows. full_output: bool, optional. ...