solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets Class Reference

Code snippet generator for fixed time stepping in the Runge-Kutta schemes. More...

Inheritance diagram for solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets:

Collaboration diagram for solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets:

Public Member Functions
	__init__ (self, time_step_relaxation)
	create_start_time_step_implementation (self)
	create_finish_time_step_implementation (self)
	The superclass takes the admissible cell size and divides it by the maximum eigenvalue.

Protected Attributes
	_time_step_relaxation

Detailed Description

Code snippet generator for fixed time stepping in the Runge-Kutta schemes.

Definition at line 6 of file OptimisticAdaptiveTimeSteppingCodeSnippets.py.

Constructor & Destructor Documentation

__init__()

solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets.__init__	(		self,
			time_step_relaxation
	)

Definition at line 12 of file OptimisticAdaptiveTimeSteppingCodeSnippets.py.

Member Function Documentation

create_finish_time_step_implementation()

solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets.create_finish_time_step_implementation

(

self

)

The superclass takes the admissible cell size and divides it by the maximum eigenvalue.

The Finite Volume solvers however operate with patches, i.e. we have to devide by the volume count per axis.

Definition at line 45 of file OptimisticAdaptiveTimeSteppingCodeSnippets.py.

References solvers.fv.AdaptiveSubcyclingTimeSteppingCodeSnippets.AdaptiveSubcyclingTimeSteppingCodeSnippets._time_step_relaxation, solvers.fv.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets._time_step_relaxation, solvers.fv.LocalTimeSteppingCodeSnippets.LocalTimeSteppingCodeSnippets._time_step_relaxation, solvers.fv.musclhancock.GlobalAdaptiveTimeStep.GlobalAdaptiveTimeStep._time_step_relaxation, solvers.fv.riemann.GlobalAdaptiveTimeStep.GlobalAdaptiveTimeStep._time_step_relaxation, solvers.fv.riemann.GlobalAdaptiveTimeStepWithEnclaveTasking.GlobalAdaptiveTimeStepWithEnclaveTasking._time_step_relaxation, solvers.fv.rusanov.GlobalAdaptiveTimeStep.GlobalAdaptiveTimeStep._time_step_relaxation, solvers.fv.rusanov.GlobalAdaptiveTimeStepWithEnclaveTasking.GlobalAdaptiveTimeStepWithEnclaveTasking._time_step_relaxation, solvers.fv.rusanov.LocalTimeStepWithEnclaveTasking.LocalTimeStepWithEnclaveTasking._time_step_relaxation, solvers.fv.rusanov.SubcyclingAdaptiveTimeStepWithEnclaveTasking.SubcyclingAdaptiveTimeStepWithEnclaveTasking._time_step_relaxation, solvers.rkdg.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets._time_step_relaxation, solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets._time_step_relaxation, solvers.rkdg.rusanov.GlobalAdaptiveTimeStep.GlobalAdaptiveTimeStep._time_step_relaxation, solvers.rkdg.rusanov.GlobalAdaptiveTimeStepWithEnclaveTasking.GlobalAdaptiveTimeStepWithEnclaveTasking._time_step_relaxation, and solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets.create_finish_time_step_implementation().

Referenced by solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets.create_finish_time_step_implementation().

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create_start_time_step_implementation()

solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets.create_start_time_step_implementation

(

self

)

Definition at line 16 of file OptimisticAdaptiveTimeSteppingCodeSnippets.py.

Field Documentation

_time_step_relaxation

solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets._time_step_relaxation

protected

Definition at line 13 of file OptimisticAdaptiveTimeSteppingCodeSnippets.py.

Referenced by solvers.fv.AdaptiveSubcyclingTimeSteppingCodeSnippets.AdaptiveSubcyclingTimeSteppingCodeSnippets.create_finish_time_step_implementation(), solvers.fv.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets.create_finish_time_step_implementation(), solvers.rkdg.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets.create_finish_time_step_implementation(), and solvers.rkdg.OptimisticAdaptiveTimeSteppingCodeSnippets.OptimisticAdaptiveTimeSteppingCodeSnippets.create_finish_time_step_implementation().

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The documentation for this class was generated from the following file:

• python/exahype2/solvers/rkdg/OptimisticAdaptiveTimeSteppingCodeSnippets.py