ida_with_disc.py¶
-
assimulo.examples.ida_with_disc.run_example(with_plots=True)[source]¶ Example of the use of IDA for an implicit differential equation with a discontinuity (state event) and the need for an event iteration.
on return:
- imp_mod problem instance
- imp_sim solver instance
No initialization defined for the problem.
A discontinuity occured at t = 1.000000e+00.
Current switches: [False, True, True]
Event info: [[0, 0, -1], False]
Final Run Statistics: ODE with discontinuities and a function with consistency problem
Number of steps : 22
Number of function evaluations : 22
Number of Jacobian evaluations : 20
Number of function eval. due to Jacobian eval. : 60
Number of error test failures : 0
Number of nonlinear iterations : 22
Number of nonlinear convergence failures : 0
Number of state function evaluations : 24
Number of state events : 1
Solver options:
Solver : IDA (BDF)
Maximal order : 5
Suppressed algebr. variables : False
Tolerances (absolute) : 1e-06
Tolerances (relative) : 1e-06
No finalization defined for the problem.
Final Run Statistics: ODE with discontinuities and a function with consistency problem
Number of steps : 46
Number of function evaluations : 46
Number of Jacobian evaluations : 42
Number of function eval. due to Jacobian eval. : 126
Number of error test failures : 0
Number of nonlinear iterations : 46
Number of nonlinear convergence failures : 0
Number of state function evaluations : 50
Number of state events : 1
Solver options:
Solver : IDA (BDF)
Maximal order : 5
Suppressed algebr. variables : False
Tolerances (absolute) : 1e-06
Tolerances (relative) : 1e-06
Simulation interval : 0.0 - 10.0 seconds.
Elapsed simulation time: 0.0165538787842 seconds.
Note
Press [source] (to the top right) to view the example.