PyTrilinos::Amesos::Superludist Class Reference

Inheritance diagram for PyTrilinos::Amesos::Superludist:

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List of all members.

Public Member Functions

def __init__
def SymbolicFactorization
def NumericFactorization
def Solve
def SetUseTranspose
def GetProblem
def MatrixShapeOK
def UseTranspose
def SetParameters
def NumSymbolicFact
def NumNumericFact
def NumSolve
def PrintTiming
def PrintStatus
def GetTiming
def __init__
def SymbolicFactorization
def NumericFactorization
def Solve
def SetUseTranspose
def GetProblem
def MatrixShapeOK
def UseTranspose
def SetParameters
def NumSymbolicFact
def NumNumericFact
def NumSolve
def PrintTiming
def PrintStatus
def GetTiming

Public Attributes

 this


Detailed Description

Amesos_Superludist: An object-oriented wrapper for Superludist.

Amesos_Superludist will solve a linear systems of equations: A X = B
using Epetra objects and the Superludist solver library, where A is an
Epetra_RowMatrix and X and B are Epetra_MultiVector objects.

C++ includes: Amesos_Superludist.h 

Member Function Documentation

def PyTrilinos::Amesos::Superludist::__init__ (   self,
  args 
)

__init__(self, LinearProblem LinearProblem) -> Superludist

Amesos_Superludist::Amesos_Superludist(const Epetra_LinearProblem
&LinearProblem)

Amesos_Superludist Constructor.

Creates an Amesos_Superludist instance, using an Epetra_LinearProblem,
passing in an already- defined Epetra_LinearProblem object.

Note: The operator in LinearProblem must be an Epetra_RowMatrix. 

def PyTrilinos::Amesos::Superludist::__init__ (   self,
  args 
)

__init__(self, LinearProblem LinearProblem) -> Superludist

Amesos_Superludist::Amesos_Superludist(const Epetra_LinearProblem
&LinearProblem)

Amesos_Superludist Constructor.

Creates an Amesos_Superludist instance, using an Epetra_LinearProblem,
passing in an already- defined Epetra_LinearProblem object.

Note: The operator in LinearProblem must be an Epetra_RowMatrix. 

def PyTrilinos::Amesos::Superludist::GetProblem (   self,
  args 
)

GetProblem(self) -> LinearProblem

const
Epetra_LinearProblem* Amesos_Superludist::GetProblem() const

Returns the Epetra_LinearProblem.

Warning! Do not call return->SetOperator(...) to attempt to change the
Epetra_Operator object (even if the new matrix has the same
structure). This new operator matrix will be ignored! 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::GetProblem (   self,
  args 
)

GetProblem(self) -> LinearProblem

const
Epetra_LinearProblem* Amesos_Superludist::GetProblem() const

Returns the Epetra_LinearProblem.

Warning! Do not call return->SetOperator(...) to attempt to change the
Epetra_Operator object (even if the new matrix has the same
structure). This new operator matrix will be ignored! 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::GetTiming (   self,
  args 
)

GetTiming(self, ParameterList TimingParameterList)

void
Amesos_Superludist::GetTiming(Teuchos::ParameterList
&TimingParameterList) const

Extracts timing information from the current solver and places it in
the parameter list. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::GetTiming (   self,
  args 
)

GetTiming(self, ParameterList TimingParameterList)

void
Amesos_Superludist::GetTiming(Teuchos::ParameterList
&TimingParameterList) const

Extracts timing information from the current solver and places it in
the parameter list. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::MatrixShapeOK (   self,
  args 
)

MatrixShapeOK(self) -> bool

bool
Amesos_Superludist::MatrixShapeOK() const

Returns true if SUPERLUDIST can handle this matrix shape.

Returns true if the matrix shape is one that SUPERLUDIST can handle.
SUPERLUDIST only works with square matrices. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::MatrixShapeOK (   self,
  args 
)

MatrixShapeOK(self) -> bool

bool
Amesos_Superludist::MatrixShapeOK() const

Returns true if SUPERLUDIST can handle this matrix shape.

Returns true if the matrix shape is one that SUPERLUDIST can handle.
SUPERLUDIST only works with square matrices. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::NumericFactorization (   self,
  args 
)

NumericFactorization(self) -> int

int
Amesos_Superludist::NumericFactorization()

Performs NumericFactorization on the matrix A.

In addition to performing numeric factorization on the matrix A, the
call to NumericFactorization() implies that no change will be made to
the underlying matrix without a subsequent call to
NumericFactorization().

<br >Preconditions:  GetProblem().GetOperator() != 0 (return -1)

MatrixShapeOk( GetProblem().GetOperator()) == true (return -6)

The non-zero structure of the matrix should not have changed since the
last call to SymbolicFactorization(). (return -2 if the number of non-
zeros changes) Other changes can have arbitrary consequences.

The distribution of the matrix should not have changed since the last
call to SymbolicFactorization()

The matrix should be indexed from 0 to n-1, unless the parameter
"Reindex" was set to "true" prior to the call to
SymbolicFactorization(). (return -3 - if caught)

The paremeter "Reindex" should not be set to "true" except on
CrsMatrices. (return -4)

The paremeter "Reindex" should not be set to "true" unless Amesos
was built with EpetraExt, i.e. with --enable-epetraext on the
configure line. (return -4)

Internal errors retur -5.

<br >Postconditions: Numeric Factorization will be performed (or
marked to be performed) allowing Solve() to be performed correctly
despite a potential change in in the matrix values (though not in the
non-zero structure).

Integer error code, set to 0 if successful. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::NumericFactorization (   self,
  args 
)

NumericFactorization(self) -> int

int
Amesos_Superludist::NumericFactorization()

Performs NumericFactorization on the matrix A.

In addition to performing numeric factorization on the matrix A, the
call to NumericFactorization() implies that no change will be made to
the underlying matrix without a subsequent call to
NumericFactorization().

<br >Preconditions:  GetProblem().GetOperator() != 0 (return -1)

MatrixShapeOk( GetProblem().GetOperator()) == true (return -6)

The non-zero structure of the matrix should not have changed since the
last call to SymbolicFactorization(). (return -2 if the number of non-
zeros changes) Other changes can have arbitrary consequences.

The distribution of the matrix should not have changed since the last
call to SymbolicFactorization()

The matrix should be indexed from 0 to n-1, unless the parameter
"Reindex" was set to "true" prior to the call to
SymbolicFactorization(). (return -3 - if caught)

The paremeter "Reindex" should not be set to "true" except on
CrsMatrices. (return -4)

The paremeter "Reindex" should not be set to "true" unless Amesos
was built with EpetraExt, i.e. with --enable-epetraext on the
configure line. (return -4)

Internal errors retur -5.

<br >Postconditions: Numeric Factorization will be performed (or
marked to be performed) allowing Solve() to be performed correctly
despite a potential change in in the matrix values (though not in the
non-zero structure).

Integer error code, set to 0 if successful. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::NumNumericFact (   self,
  args 
)

NumNumericFact(self) -> int

int
Amesos_Superludist::NumNumericFact() const

Returns the number of numeric factorizations performed by this object.

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::NumNumericFact (   self,
  args 
)

NumNumericFact(self) -> int

int
Amesos_Superludist::NumNumericFact() const

Returns the number of numeric factorizations performed by this object.

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::NumSolve (   self,
  args 
)

NumSolve(self) -> int

int
Amesos_Superludist::NumSolve() const

Returns the number of solves performed by this object. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::NumSolve (   self,
  args 
)

NumSolve(self) -> int

int
Amesos_Superludist::NumSolve() const

Returns the number of solves performed by this object. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::NumSymbolicFact (   self,
  args 
)

NumSymbolicFact(self) -> int

int
Amesos_Superludist::NumSymbolicFact() const

Returns the number of symbolic factorizations performed by this
object. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::NumSymbolicFact (   self,
  args 
)

NumSymbolicFact(self) -> int

int
Amesos_Superludist::NumSymbolicFact() const

Returns the number of symbolic factorizations performed by this
object. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::PrintStatus (   self,
  args 
)

PrintStatus(self)

void
Amesos_Superludist::PrintStatus() const

Print various information about the parameters used by Superludist. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::PrintStatus (   self,
  args 
)

PrintStatus(self)

void
Amesos_Superludist::PrintStatus() const

Print various information about the parameters used by Superludist. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::PrintTiming (   self,
  args 
)

PrintTiming(self)

void
Amesos_Superludist::PrintTiming() const

Print various timig. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::PrintTiming (   self,
  args 
)

PrintTiming(self)

void
Amesos_Superludist::PrintTiming() const

Print various timig. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::SetParameters (   self,
  args 
)

SetParameters(self, ParameterList ParameterList) -> int

int
Amesos_Superludist::SetParameters(Teuchos::ParameterList
&ParameterList)

Updates internal variables.

<br >Preconditions: None.

<br >Postconditions: Internal variables controlling the factorization
and solve will be updated and take effect on all subseuent calls to
NumericFactorization() and Solve().

All parameters whose value are to differ from the default values must
be included in ParameterList. Parameters not specified in
ParameterList revert to their default values.

Integer error code, set to 0 if successful. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::SetParameters (   self,
  args 
)

SetParameters(self, ParameterList ParameterList) -> int

int
Amesos_Superludist::SetParameters(Teuchos::ParameterList
&ParameterList)

Updates internal variables.

<br >Preconditions: None.

<br >Postconditions: Internal variables controlling the factorization
and solve will be updated and take effect on all subseuent calls to
NumericFactorization() and Solve().

All parameters whose value are to differ from the default values must
be included in ParameterList. Parameters not specified in
ParameterList revert to their default values.

Integer error code, set to 0 if successful. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::SetUseTranspose (   self,
  args 
)

SetUseTranspose(self, bool UseTranspose) -> int

int
Amesos_Superludist::SetUseTranspose(bool UseTranspose)

Amesos_Superludist does not support transpose at this time.

returns 0 if UseTranspose is set to false, else 1 (failure) 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::SetUseTranspose (   self,
  args 
)

SetUseTranspose(self, bool UseTranspose) -> int

int
Amesos_Superludist::SetUseTranspose(bool UseTranspose)

Amesos_Superludist does not support transpose at this time.

returns 0 if UseTranspose is set to false, else 1 (failure) 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::Solve (   self,
  args 
)

Solve(self) -> int

int
Amesos_Superludist::Solve()

Solves A X = B (or AT x = B).

<br >Preconditions:  GetProblem().GetOperator() != 0 (return -1)

MatrixShapeOk( GetProblem().GetOperator()) == true (return -6)

GetProblem()->CheckInput (see Epetra_LinearProblem::CheckInput() for
return values)

The non-zero structure of the matrix should not have changed since the
last call to SymbolicFactorization().

The distribution of the matrix should not have changed since the last
call to SymbolicFactorization()

The matrix should not have changed since the last call to
NumericFactorization().

<br >Postconditions: X will be set such that A X = B (or AT X = B),
within the limits of the accuracy of the underlying solver.

Integer error code, set to 0 if successful. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::Solve (   self,
  args 
)

Solve(self) -> int

int
Amesos_Superludist::Solve()

Solves A X = B (or AT x = B).

<br >Preconditions:  GetProblem().GetOperator() != 0 (return -1)

MatrixShapeOk( GetProblem().GetOperator()) == true (return -6)

GetProblem()->CheckInput (see Epetra_LinearProblem::CheckInput() for
return values)

The non-zero structure of the matrix should not have changed since the
last call to SymbolicFactorization().

The distribution of the matrix should not have changed since the last
call to SymbolicFactorization()

The matrix should not have changed since the last call to
NumericFactorization().

<br >Postconditions: X will be set such that A X = B (or AT X = B),
within the limits of the accuracy of the underlying solver.

Integer error code, set to 0 if successful. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::SymbolicFactorization (   self,
  args 
)

SymbolicFactorization(self) -> int

int
Amesos_Superludist::SymbolicFactorization()

Performs SymbolicFactorization on the matrix A.

In addition to performing symbolic factorization on the matrix A, the
call to SymbolicFactorization() implies that no change will be made to
the non-zero structure of the underlying matrix without a subsequent
call to SymbolicFactorization().

<br >Preconditions:  GetProblem().GetOperator() != 0 (return -1)

MatrixShapeOk( GetProblem().GetOperator()) == true (return -6)

<br >Postconditions: Symbolic Factorization will be performed (or
marked to be performed) allowing NumericFactorization() and Solve() to
be called.

Integer error code, set to 0 if successful. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::SymbolicFactorization (   self,
  args 
)

SymbolicFactorization(self) -> int

int
Amesos_Superludist::SymbolicFactorization()

Performs SymbolicFactorization on the matrix A.

In addition to performing symbolic factorization on the matrix A, the
call to SymbolicFactorization() implies that no change will be made to
the non-zero structure of the underlying matrix without a subsequent
call to SymbolicFactorization().

<br >Preconditions:  GetProblem().GetOperator() != 0 (return -1)

MatrixShapeOk( GetProblem().GetOperator()) == true (return -6)

<br >Postconditions: Symbolic Factorization will be performed (or
marked to be performed) allowing NumericFactorization() and Solve() to
be called.

Integer error code, set to 0 if successful. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::UseTranspose (   self,
  args 
)

UseTranspose(self) -> bool

bool
Amesos_Superludist::UseTranspose() const

Always returns true. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.

def PyTrilinos::Amesos::Superludist::UseTranspose (   self,
  args 
)

UseTranspose(self) -> bool

bool
Amesos_Superludist::UseTranspose() const

Always returns true. 

Reimplemented from PyTrilinos::Amesos::BaseSolver.


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

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