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

Inheritance diagram for exahype2.solvers.fv.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets:

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Collaboration diagram for exahype2.solvers.fv.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets:

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Public Member Functions
	__init__ (self, time_step_relaxation, adaptive_starting_timeStep_size="none")
	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.
Public Member Functions inherited from exahype2.solvers.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets
	create_abstract_solver_user_declarations (self)
	create_abstract_solver_user_definitions (self)
	create_abstract_solver_constructor_statements (self)
	create_compute_time_step_size (self)
	Within the actual compute kernels, the kernels ask the solver variant how to determine a new field.
	create_compute_new_time_step_size (self)
	This is global, fixed time stepping, i.e.

Protected Attributes
	_time_step_relaxation = time_step_relaxation
str	_adaptive_starting_timeStep_size = adaptive_starting_timeStep_size

Detailed Description

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

adaptive_starting_timeStep_size: none, hard, soft

Definition at line 6 of file AdaptiveTimeSteppingCodeSnippets.py.

Constructor & Destructor Documentation

◆ init()

exahype2.solvers.fv.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets.__init__	(	self,
		time_step_relaxation,
		adaptive_starting_timeStep_size = "none" )

Definition at line 12 of file AdaptiveTimeSteppingCodeSnippets.py.

Member Function Documentation

◆ create_finish_time_step_implementation()

exahype2.solvers.fv.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets.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 divide by the volume count per axis.

Reimplemented from exahype2.solvers.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets.

Definition at line 38 of file AdaptiveTimeSteppingCodeSnippets.py.

References _adaptive_starting_timeStep_size, exahype2.solvers.fv.AdaptiveSubcyclingTimeSteppingCodeSnippets.AdaptiveSubcyclingTimeSteppingCodeSnippets._time_step_relaxation, and _time_step_relaxation.

◆ create_start_time_step_implementation()

exahype2.solvers.fv.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets.create_start_time_step_implementation ( self )

Reimplemented from exahype2.solvers.SolverCodeSnippets.SolverCodeSnippets.

Definition at line 16 of file AdaptiveTimeSteppingCodeSnippets.py.

Field Documentation

◆ _adaptive_starting_timeStep_size

str exahype2.solvers.fv.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets._adaptive_starting_timeStep_size = adaptive_starting_timeStep_size

protected

Definition at line 14 of file AdaptiveTimeSteppingCodeSnippets.py.

Referenced by create_finish_time_step_implementation(), and exahype2.solvers.rkfd.AdaptiveTimeSteppingCodeSnippets.AdaptiveTimeSteppingCodeSnippets.create_finish_time_step_implementation().