Public Member Functions | |
def | __init__ |
def | SymbolicFactorization |
def | NumericFactorization |
def | Solve |
def | Destroy |
def | SetUseTranspose |
def | UseTranspose |
def | SetParameters |
def | NumSymbolicFact |
def | NumNumericFact |
def | NumSolve |
def | PrintTiming |
def | PrintStatus |
def | GetTiming |
def | SetPrecscaling |
def | SetRowScaling |
def | SetColScaling |
def | SetOrdering |
def | GetRINFO |
def | GetINFO |
def | GetRINFOG |
def | GetINFOG |
def | SetICNTL |
def | SetCNTL |
def | MatrixShapeOK |
def | Comm |
def | GetProblem |
def | __init__ |
def | SymbolicFactorization |
def | NumericFactorization |
def | Solve |
def | Destroy |
def | SetUseTranspose |
def | UseTranspose |
def | SetParameters |
def | NumSymbolicFact |
def | NumNumericFact |
def | NumSolve |
def | PrintTiming |
def | PrintStatus |
def | GetTiming |
def | SetPrecscaling |
def | SetRowScaling |
def | SetColScaling |
def | SetOrdering |
def | GetRINFO |
def | GetINFO |
def | GetRINFOG |
def | GetINFOG |
def | SetICNTL |
def | SetCNTL |
def | MatrixShapeOK |
def | Comm |
def | GetProblem |
Public Attributes | |
this |
Amesos_Mumps: An object-oriented wrapper for the double precision version of MUMPS. Amesos_Mumps is an interface to the the double precision version of the sparse parallel direct solver MUMPS. Given an Epetra_RowMatrix A, and two Epetra_MultiVectors X and B, the solution with Amesos_Mumps reads as follows: Epetra_LinearProblem Problem; Amesos_BaseSolver * Solver; Amesos Amesos_Factory; Solver = Amesos_Factory.Create("Amesos_Mumps", Problem); if( Solver == 0 ) cerr << "library not available" << endl; Problem.SetMatrix(&A); Solver-> SymbolicFactorization(); Solver-> NumericFactorization(); Problem.SetLHS(&X); Problem.SetLHS(&B); Solver-> Solve(); A number of parameters is available to tune the performances of MUMPS. We refer to the Amesos Reference Guide for a detailed overview of these parameters. Here, we just recall that it is possible to solve the linear system on a subset of the processes contained in the Comm object of the Epetra_LinearProblem. Amesos_Mumps accepts any Epetra_RowMatrix derived class. However, special functions are available for Epetra_CrsMatrix and Epetra_VbrMatrix objects. As Amesos is based on Epetra, and Epetra is only double-precision, we still require an Epetra_LinearProblem composed by a double-precision matrix, and two double-precision vectors. The solution vector is casted to double after solution. Single precision may be of interest if Amesos is used with ML, to solve the coarse problem (for which single-precision can be enough in term of numerical error, and usually save memory and CPU time). Amesos_Mumps is based on Amesos_EpetraBaseSolver, that is derived from Amesos_BaseSolver. The main redistribution utilities, as well as a getrow function, is obtained by EpetraBaseSolver. WARNING: This interface is compatible with MUMPS 4.5.4. Marzio Sala, ETHZ. C++ includes: Amesos_Mumps.h
def PyTrilinos::Amesos::Mumps::__init__ | ( | self, | ||
args | ||||
) |
__init__(self, LinearProblem LinearProblem) -> Mumps Amesos_Mumps::Amesos_Mumps(const Epetra_LinearProblem &LinearProblem) Amesos_Mumps Constructor. Creates an Amesos_Mumps instance, using an Epetra_LinearProblem,
def PyTrilinos::Amesos::Mumps::__init__ | ( | self, | ||
args | ||||
) |
__init__(self, LinearProblem LinearProblem) -> Mumps Amesos_Mumps::Amesos_Mumps(const Epetra_LinearProblem &LinearProblem) Amesos_Mumps Constructor. Creates an Amesos_Mumps instance, using an Epetra_LinearProblem,
def PyTrilinos::Amesos::Mumps::Comm | ( | self, | ||
args | ||||
) |
Comm(self) -> Comm const Epetra_Comm& Amesos_Mumps::Comm() const Returns a pointer to the Epetra_Comm communicator associated with this matrix.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::Comm | ( | self, | ||
args | ||||
) |
Comm(self) -> Comm const Epetra_Comm& Amesos_Mumps::Comm() const Returns a pointer to the Epetra_Comm communicator associated with this matrix.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::Destroy | ( | self, | ||
args | ||||
) |
Destroy(self) void Amesos_Mumps::Destroy() Destroys all data associated with this object.
def PyTrilinos::Amesos::Mumps::Destroy | ( | self, | ||
args | ||||
) |
Destroy(self) void Amesos_Mumps::Destroy() Destroys all data associated with this object.
def PyTrilinos::Amesos::Mumps::GetINFO | ( | self, | ||
args | ||||
) |
GetINFO(self) -> int int * Amesos_Mumps::GetINFO() Gets the pointer to the INFO array (defined on all processes). Gets the pointer to the internally stored INFO array, of type int.
def PyTrilinos::Amesos::Mumps::GetINFO | ( | self, | ||
args | ||||
) |
GetINFO(self) -> int int * Amesos_Mumps::GetINFO() Gets the pointer to the INFO array (defined on all processes). Gets the pointer to the internally stored INFO array, of type int.
def PyTrilinos::Amesos::Mumps::GetINFOG | ( | self, | ||
args | ||||
) |
GetINFOG(self) -> int int * Amesos_Mumps::GetINFOG() Get the pointer to the INFOG array (defined on host only). Gets the pointer to the internally stored INFOG (defined on the host process only) array, of type int.
def PyTrilinos::Amesos::Mumps::GetINFOG | ( | self, | ||
args | ||||
) |
GetINFOG(self) -> int int * Amesos_Mumps::GetINFOG() Get the pointer to the INFOG array (defined on host only). Gets the pointer to the internally stored INFOG (defined on the host process only) array, of type int.
def PyTrilinos::Amesos::Mumps::GetProblem | ( | self, | ||
args | ||||
) |
GetProblem(self) -> LinearProblem const Epetra_LinearProblem* Amesos_Mumps::GetProblem() const Gets a pointer to the Epetra_LinearProblem.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::GetProblem | ( | self, | ||
args | ||||
) |
GetProblem(self) -> LinearProblem const Epetra_LinearProblem* Amesos_Mumps::GetProblem() const Gets a pointer to the Epetra_LinearProblem.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::GetRINFO | ( | self, | ||
args | ||||
) |
GetRINFO(self) -> double double * Amesos_Mumps::GetRINFO() Gets the pointer to the RINFO array (defined on all processes). Gets the pointer to the internally stored RINFO array, of type float if option --enable-amesos-smumps is enabled, double otherwise.
def PyTrilinos::Amesos::Mumps::GetRINFO | ( | self, | ||
args | ||||
) |
GetRINFO(self) -> double double * Amesos_Mumps::GetRINFO() Gets the pointer to the RINFO array (defined on all processes). Gets the pointer to the internally stored RINFO array, of type float if option --enable-amesos-smumps is enabled, double otherwise.
def PyTrilinos::Amesos::Mumps::GetRINFOG | ( | self, | ||
args | ||||
) |
GetRINFOG(self) -> double double * Amesos_Mumps::GetRINFOG() Gets the pointer to the RINFOG array (defined on host only). Gets the pointer to the internally stored RINFOG array (defined on the host process only), of type float if option --enable-amesos-smumps is enabled, double otherwise.
def PyTrilinos::Amesos::Mumps::GetRINFOG | ( | self, | ||
args | ||||
) |
GetRINFOG(self) -> double double * Amesos_Mumps::GetRINFOG() Gets the pointer to the RINFOG array (defined on host only). Gets the pointer to the internally stored RINFOG array (defined on the host process only), of type float if option --enable-amesos-smumps is enabled, double otherwise.
def PyTrilinos::Amesos::Mumps::GetTiming | ( | self, | ||
args | ||||
) |
GetTiming(self, ParameterList TimingParameterList) void Amesos_Mumps::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::Mumps::GetTiming | ( | self, | ||
args | ||||
) |
GetTiming(self, ParameterList TimingParameterList) void Amesos_Mumps::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::Mumps::MatrixShapeOK | ( | self, | ||
args | ||||
) |
MatrixShapeOK(self) -> bool bool Amesos_Mumps::MatrixShapeOK() const Returns true if the solver can handle this matrix shape. Returns true if the matrix shape is one that the underlying sparse direct solver can handle. Classes that work only on square matrices should return false for rectangular matrices. Classes that work only on symmetric matrices whould return false for non-symmetric matrices.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::MatrixShapeOK | ( | self, | ||
args | ||||
) |
MatrixShapeOK(self) -> bool bool Amesos_Mumps::MatrixShapeOK() const Returns true if the solver can handle this matrix shape. Returns true if the matrix shape is one that the underlying sparse direct solver can handle. Classes that work only on square matrices should return false for rectangular matrices. Classes that work only on symmetric matrices whould return false for non-symmetric matrices.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::NumericFactorization | ( | self, | ||
args | ||||
) |
NumericFactorization(self) -> int int Amesos_Mumps::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::Mumps::NumericFactorization | ( | self, | ||
args | ||||
) |
NumericFactorization(self) -> int int Amesos_Mumps::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::Mumps::NumNumericFact | ( | self, | ||
args | ||||
) |
NumNumericFact(self) -> int int Amesos_Mumps::NumNumericFact() const Returns the number of numeric factorizations performed by this object.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::NumNumericFact | ( | self, | ||
args | ||||
) |
NumNumericFact(self) -> int int Amesos_Mumps::NumNumericFact() const Returns the number of numeric factorizations performed by this object.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::NumSolve | ( | self, | ||
args | ||||
) |
NumSolve(self) -> int int Amesos_Mumps::NumSolve() const Returns the number of solves performed by this object.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::NumSolve | ( | self, | ||
args | ||||
) |
NumSolve(self) -> int int Amesos_Mumps::NumSolve() const Returns the number of solves performed by this object.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::NumSymbolicFact | ( | self, | ||
args | ||||
) |
NumSymbolicFact(self) -> int int Amesos_Mumps::NumSymbolicFact() const Returns the number of symbolic factorizations performed by this object.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::NumSymbolicFact | ( | self, | ||
args | ||||
) |
NumSymbolicFact(self) -> int int Amesos_Mumps::NumSymbolicFact() const Returns the number of symbolic factorizations performed by this object.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::PrintStatus | ( | self, | ||
args | ||||
) |
PrintStatus(self) void Amesos_Mumps::PrintStatus() const Prints information about the factorization and solution phases. In the destruction phase, prints out some information furnished by MUMPS, like the amount of required memory, the MFLOPS.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::PrintStatus | ( | self, | ||
args | ||||
) |
PrintStatus(self) void Amesos_Mumps::PrintStatus() const Prints information about the factorization and solution phases. In the destruction phase, prints out some information furnished by MUMPS, like the amount of required memory, the MFLOPS.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::PrintTiming | ( | self, | ||
args | ||||
) |
PrintTiming(self) void Amesos_Mumps::PrintTiming() const Prints timing information. In the destruction phase, prints out detailed information about the various phases: symbolic and numeric factorization, solution, gather/scatter for vectors and matrices.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::PrintTiming | ( | self, | ||
args | ||||
) |
PrintTiming(self) void Amesos_Mumps::PrintTiming() const Prints timing information. In the destruction phase, prints out detailed information about the various phases: symbolic and numeric factorization, solution, gather/scatter for vectors and matrices.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::SetCNTL | ( | self, | ||
args | ||||
) |
SetCNTL(self, int pos, double value) void Amesos_Mumps::SetCNTL(int pos, double value) Set CNTL[pos] to value. pos is expressed in FORTRAN style (starting from 1).
def PyTrilinos::Amesos::Mumps::SetCNTL | ( | self, | ||
args | ||||
) |
SetCNTL(self, int pos, double value) void Amesos_Mumps::SetCNTL(int pos, double value) Set CNTL[pos] to value. pos is expressed in FORTRAN style (starting from 1).
def PyTrilinos::Amesos::Mumps::SetColScaling | ( | self, | ||
args | ||||
) |
SetColScaling(self, double ColSca) -> int int Amesos_Mumps::SetColScaling(double *ColSca) Set column scaling. Use double precision vectors of size N (global dimension of the matrix) for column scaling. Parameters: ----------- ColSca: (In) - float pointer with --enable-amesos-smumps, double pointer otherwise.
def PyTrilinos::Amesos::Mumps::SetColScaling | ( | self, | ||
args | ||||
) |
SetColScaling(self, double ColSca) -> int int Amesos_Mumps::SetColScaling(double *ColSca) Set column scaling. Use double precision vectors of size N (global dimension of the matrix) for column scaling. Parameters: ----------- ColSca: (In) - float pointer with --enable-amesos-smumps, double pointer otherwise.
def PyTrilinos::Amesos::Mumps::SetICNTL | ( | self, | ||
args | ||||
) |
SetICNTL(self, int pos, int value) void Amesos_Mumps::SetICNTL(int pos, int value) Set ICNTL[pos] to value. pos is expressed in FORTRAN style (starting from 1).
def PyTrilinos::Amesos::Mumps::SetICNTL | ( | self, | ||
args | ||||
) |
SetICNTL(self, int pos, int value) void Amesos_Mumps::SetICNTL(int pos, int value) Set ICNTL[pos] to value. pos is expressed in FORTRAN style (starting from 1).
def PyTrilinos::Amesos::Mumps::SetOrdering | ( | self, | ||
args | ||||
) |
SetOrdering(self, int PermIn) -> int int Amesos_Mumps::SetOrdering(int *PermIn) Sets ordering. Use integer vectors of size N (global dimension of the matrix) as given ordering. PermIn must be defined on the host only, and allocated by the user, if the user sets ICNTL(7) = 1.
def PyTrilinos::Amesos::Mumps::SetOrdering | ( | self, | ||
args | ||||
) |
SetOrdering(self, int PermIn) -> int int Amesos_Mumps::SetOrdering(int *PermIn) Sets ordering. Use integer vectors of size N (global dimension of the matrix) as given ordering. PermIn must be defined on the host only, and allocated by the user, if the user sets ICNTL(7) = 1.
def PyTrilinos::Amesos::Mumps::SetParameters | ( | self, | ||
args | ||||
) |
SetParameters(self, ParameterList ParameterList) -> int int Amesos_Mumps::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::Mumps::SetParameters | ( | self, | ||
args | ||||
) |
SetParameters(self, ParameterList ParameterList) -> int int Amesos_Mumps::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::Mumps::SetPrecscaling | ( | self, | ||
args | ||||
) |
SetPrecscaling(self, double ColSca, double RowSca) -> int int Amesos_Mumps::SetPrecscaling(double *ColSca, double *RowSca) Set prescaling. Use double precision vectors of size N (global dimension of the matrix) as scaling for columns and rows. ColSca and RowSca must be defined on the host only, and allocated by the user, if the user sets ICNTL(8) = -1. Both input vectors are float with --enable-amesos-smumps, double otherwise.
def PyTrilinos::Amesos::Mumps::SetPrecscaling | ( | self, | ||
args | ||||
) |
SetPrecscaling(self, double ColSca, double RowSca) -> int int Amesos_Mumps::SetPrecscaling(double *ColSca, double *RowSca) Set prescaling. Use double precision vectors of size N (global dimension of the matrix) as scaling for columns and rows. ColSca and RowSca must be defined on the host only, and allocated by the user, if the user sets ICNTL(8) = -1. Both input vectors are float with --enable-amesos-smumps, double otherwise.
def PyTrilinos::Amesos::Mumps::SetRowScaling | ( | self, | ||
args | ||||
) |
SetRowScaling(self, double RowSca) -> int int Amesos_Mumps::SetRowScaling(double *RowSca) Set row scaling. Use double precision vectors of size N (global dimension of the matrix) for row scaling. Parameters: ----------- RowSca: (In) - float pointer with --enable-amesos-smumps, double pointer otherwise.
def PyTrilinos::Amesos::Mumps::SetRowScaling | ( | self, | ||
args | ||||
) |
SetRowScaling(self, double RowSca) -> int int Amesos_Mumps::SetRowScaling(double *RowSca) Set row scaling. Use double precision vectors of size N (global dimension of the matrix) for row scaling. Parameters: ----------- RowSca: (In) - float pointer with --enable-amesos-smumps, double pointer otherwise.
def PyTrilinos::Amesos::Mumps::SetUseTranspose | ( | self, | ||
args | ||||
) |
SetUseTranspose(self, bool UseTranspose) -> int int Amesos_Mumps::SetUseTranspose(bool UseTranspose) If set true, X will be set to the solution of AT X = B (not A X = B). If the implementation of this interface does not support transpose use, this method should return a value of -1. <br >Preconditions: SetUseTranspose() should be called prior to the call to SymbolicFactorization() If NumericFactorization() or Solve() is called after SetUseTranspose() without an intervening call to SymbolicFactorization() the result is implementation dependent. <br >Postconditions: The next factorization and solve will be performed with the new value of UseTranspose. Parameters: ----------- UseTranspose: -- (In) If true, solve AT X = B, otherwise solve A X = B. Integer error code, set to 0 if successful. Set to -1 if this implementation does not support transpose.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::SetUseTranspose | ( | self, | ||
args | ||||
) |
SetUseTranspose(self, bool UseTranspose) -> int int Amesos_Mumps::SetUseTranspose(bool UseTranspose) If set true, X will be set to the solution of AT X = B (not A X = B). If the implementation of this interface does not support transpose use, this method should return a value of -1. <br >Preconditions: SetUseTranspose() should be called prior to the call to SymbolicFactorization() If NumericFactorization() or Solve() is called after SetUseTranspose() without an intervening call to SymbolicFactorization() the result is implementation dependent. <br >Postconditions: The next factorization and solve will be performed with the new value of UseTranspose. Parameters: ----------- UseTranspose: -- (In) If true, solve AT X = B, otherwise solve A X = B. Integer error code, set to 0 if successful. Set to -1 if this implementation does not support transpose.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::Solve | ( | self, | ||
args | ||||
) |
Solve(self) -> int int Amesos_Mumps::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::Mumps::Solve | ( | self, | ||
args | ||||
) |
Solve(self) -> int int Amesos_Mumps::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::Mumps::SymbolicFactorization | ( | self, | ||
args | ||||
) |
SymbolicFactorization(self) -> int int Amesos_Mumps::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::Mumps::SymbolicFactorization | ( | self, | ||
args | ||||
) |
SymbolicFactorization(self) -> int int Amesos_Mumps::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::Mumps::UseTranspose | ( | self, | ||
args | ||||
) |
UseTranspose(self) -> bool bool Amesos_Mumps::UseTranspose() const Returns the current UseTranspose setting.
Reimplemented from PyTrilinos::Amesos::BaseSolver.
def PyTrilinos::Amesos::Mumps::UseTranspose | ( | self, | ||
args | ||||
) |
UseTranspose(self) -> bool bool Amesos_Mumps::UseTranspose() const Returns the current UseTranspose setting.
Reimplemented from PyTrilinos::Amesos::BaseSolver.