cvode_basic.py

assimulo.examples.cvode_basic.run_example(with_plots=True)[source]

Demonstration of the use of CVode by solving the linear test equation \(\dot y = - y\)

on return:

  • exp_mod problem instance
  • exp_sim solver instance

Final Run Statistics: CVode Test Example: $\dot y = - y$ 

 Number of steps                                 : 49
 Number of function evaluations                  : 63
 Number of Jacobian evaluations                  : 1
 Number of function eval. due to Jacobian eval.  : 1
 Number of error test failures                   : 1
 Number of nonlinear iterations                  : 59
 Number of nonlinear convergence failures        : 0

Solver options:

 Solver                   : CVode
 Linear multistep method  : BDF
 Nonlinear solver         : Newton
 Linear solver type       : DENSE
 Maximal order            : 5
 Tolerances (absolute)    : 0.0001
 Tolerances (relative)    : 0.0001

Simulation interval    : 0.0 - 5.0 seconds.
Elapsed simulation time: 0.00170302391052 seconds.
Final Run Statistics: CVode Test Example: $\dot y = - y$ 

 Number of steps                                 : 11
 Number of function evaluations                  : 19
 Number of Jacobian evaluations                  : 1
 Number of function eval. due to Jacobian eval.  : 1
 Number of error test failures                   : 0
 Number of nonlinear iterations                  : 15
 Number of nonlinear convergence failures        : 0

Solver options:

 Solver                   : CVode
 Linear multistep method  : BDF
 Nonlinear solver         : Newton
 Linear solver type       : DENSE
 Maximal order            : 5
 Tolerances (absolute)    : 0.0001
 Tolerances (relative)    : 0.0001

Simulation interval    : 5.0 - 7.0 seconds.
Elapsed simulation time: 0.000404834747314 seconds.
_images/cvode_basic.png

Note

Press [source] (to the top right) to view the example.