Some parameters are included in the following tables; we need to execute them:
- Get the function accordingly
- Name the following parameters
- Execute it
- 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. True if to return a dictionary of optional outputs as the second output printmessg: bool, optional. It denotes whether to print the convergence message or not. |
| Returns |
y: Array, shape (len(t), len(y0)). An array containing the value of y for each desired time in t, with the initial value y0 in the first row. infodict: dict; this is returned only if full_output == True. |
We have some additional information in terms of the output, which is mostly self explanatory. You will love to know about it. Please refer to the following:
|
Key |
Meaning |
|
hu |
Vector of step sizes successfully used for each time step. |
| tcur |
Vector with the value of t reached for each time step. Will always be at least as large as the input times. |
| tolsf |
Vector of tolerance scale factors, greater than 1.0, computed when a request for too much accuracy was detected. |
| tsw |
Value of t at the time of the last method switch (given for each time step). |
| nst |
Cumulative number of time steps. |
| nfe |
Cumulative number of function evaluations for each time step. |
| nje |
Cumulative number of Jacobian evaluations for each time step. |
| nqu |
A vector of method orders for each successful step. |
| imxer |
Index of the component of largest magnitude in the weighted local error vector (e / ewt) on an error return; it is -1 otherwise. |
| lenrw |
The length of the double work array required. |
| leniw |
The length of integer work array required. |
| mused |
A vector of method indicators for each successful time step: 1: adams (nonstiff), 2: bdf (stiff). |