PyTrilinos.Isorropia.NestedEpetra.LevelScheduler Class Reference

Inheritance diagram for PyTrilinos.Isorropia.NestedEpetra.LevelScheduler:

Collaboration diagram for PyTrilinos.Isorropia.NestedEpetra.LevelScheduler:

List of all members.

Public Member Functions
def	__init__
def	schedule
def	compute
Public Attributes
	this

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Detailed Description

Proxy of C++ Isorropia::Epetra::LevelScheduler class

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Constructor & Destructor Documentation

def PyTrilinos.Isorropia.NestedEpetra.LevelScheduler.__init__	(		self,
			args
	)

__init__(Isorropia::Epetra::LevelScheduler self, Teuchos::RCP< Epetra_CrsGraph const > input_graph, ParameterList paramlist=Teuchos::ParameterList("EmptyParameterList"), 
    bool compute_now=True) -> LevelScheduler

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Member Function Documentation

def PyTrilinos.Isorropia.NestedEpetra.LevelScheduler.compute	(		self,
			args
	)

compute(LevelScheduler self, bool force_compute=False)

virtual void
Isorropia::Operator::compute(bool forceRecomputing=false)=0

Method which does the work of computing a new
partitioning/coloring/ordering, depending on the child class used.

Parameters:
-----------

forceRecomputing:  Optional argument defaults to false. Depending on
the implementation, compute() should only perform a computation the
first time it is called, and subsequent repeated calls are no-ops. If
the user's intent is to re- compute the results (e.g., if parameters
or other inputs have been changed), then setting this flag to true
will force a new result to be computed. 

Reimplemented from PyTrilinos.Isorropia.NestedEpetra.Operator.

def PyTrilinos.Isorropia.NestedEpetra.LevelScheduler.schedule	(		self,
			args
	)

schedule(LevelScheduler self, bool force_scheduling=False)

virtual
void Isorropia::LevelScheduler::schedule(bool forceScheduling=false)=0

Method which does the work of computing a new level schedule.

Parameters:
-----------

forceScheduling:  Optional argument defaults to false. Depending on
the implementation, schedule() should only perform a scheduling the
first time it is called, and subsequent repeated calls are no-ops. If
the user's intent is to re- compute the scheduling (e.g., if
parameters or other inputs have been changed), then setting this flag
to true will force a new scheduling to be computed. 

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

• NestedEpetra.py