ConstrainedOptPack::MatrixKKTFullSpaceRelaxed Class Reference

Implementation of a KKT matrix factorized in the full space. More...

#include <ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.hpp>

List of all members.

Initialize the relaxed or unrelaxed KKT matrix.

These operations will factorize the matrix K. If the matrix K is not full rank then a SingularMatrixException exception will be thrown. The objects G and A must support the MatrixConvertToSparseFortranCompatible (MCTSFC) interface or the exception InvalidMatrixType will be thrown.
Some of the common arguments that these initialization methods share are:
{itemize} G [I] Hessian matrix ( must support MESFCE interface ). A [I] Gradient of constraints matrix ( must support MESFCE interface ). out [O] Output stream to print to. This stream may be used for output after initialization also so make sure that it remains valid as long as this matrix object is is use. For no output set out=NULL. run_test [I] If set the true then many (expensive) tests will be preformed to ensure that everything is working properly. print_more [I] If set the true then a lot more output may be produced expecially if some error occurs. {itemize}
Important: It is vital that the definitions of G and A do not change externally while this object is being used. To do so may invalidate the behavior of this object (especially the MatrixOp functions).
This class will try to reuse the factorization structure from the last call to initialze(...) or initialize_relaxed(...) when possible. Namely if G and A have the same dimensions and same number of nonzeros of the matrices previously factorized, it will be assumed that the structure will be the same. If this is not the case then the client should call release_memory(...) to wipe the slate clean and start over before calling initialize...(...) again.

void initialize (const MatrixOp &G, const MatrixOp &A, std::ostream *out=0, EPrintMoreOrLess print_what=PRINT_LESS, ERunTests test_what=NO_TESTS)

Initialize the nonrelaxed matrix.

void initialize_relaxed (const MatrixOp &G, const MatrixOp &A, const DVectorSlice &c, value_type bigM=1e+10, std::ostream *out=0, EPrintMoreOrLess print_what=PRINT_LESS, ERunTests test_what=NO_TESTS)

Initialize the relaxed matrix.

void set_uninitialized ()

Set the matrix to uninitialized.

void release_memory ()

Clear all allocated storage.

Public Types

typedef AbstractLinAlgPack::DirectSparseFortranCompatibleSolver DirectSparseFortranCompatibleSolver

enum ERunTests

More...

enum EPrintMoreOrLess

More...

Public Member Functions

void set_direct_solver (const Teuchos::RefCountPtr< DirectSparseFortranCompatibleSolver > &direct_solver)

<<std comp="">> members for the direct sparse linear solver

MatrixKKTFullSpaceRelaxed (const direct_solver_ptr_t &direct_solver=0)

size_type rows () const

size_type cols () const

std::ostream & output (std::ostream &out) const

MatrixOp & operator= (const MatrixOp &m)

void Vp_StMtV (DVectorSlice *vs_lhs, value_type alpha, BLAS_Cpp::Transp trans_rhs1, const DVectorSlice &vs_rhs2, value_type beta) const

(2) vs_lhs = alpha * op(M_rhs1) * vs_rhs2 + beta * vs_lhs (BLAS xGEMV)

void V_InvMtV (DVectorSlice *v_lhs, BLAS_Cpp::Transp trans_rhs1, const DVectorSlice &vs_rhs2) const

(1) v_lhs = inv(op(M_rhs1)) * vs_rhs2

FortranTypes::f_int num_nonzeros (EExtractRegion extract_region) const

void coor_extract_nonzeros (EExtractRegion extract_region, const FortranTypes::f_int len_Aval, FortranTypes::f_dbl_prec Aval[], const FortranTypes::f_int len_Aij, FortranTypes::f_int Arow[], FortranTypes::f_int Acol[], const FortranTypes::f_int row_offset, const FortranTypes::f_int col_offset) const

Detailed Description

Implementation of a KKT matrix factorized in the full space.

This class is used to represent the KKT matrix of the following relaxed QP:

{verbatim} min [ g' M ] * [ d ] + 1/2 * [ d' eta ] * [ G ] * [ d ] [ eta ] [ M ] [ eta ]

s.t. [ A' -c ] * [ d ] + c = 0 [ eta ] {verbatim}

The only matrix actually factorized is:

{verbatim} K_bar = [ G A ] [ A' ] {verbatim}

The class has two modes.

First mode is to not include the relaxation term and therefore the KKT matrix is:

{verbatim} K = [ G A ] [ A' ] {verbatim}

The second mode is the use the relaxation and he represented matrix is:

{verbatim} [ G A ] K = [ M -c' ] [ A' -c ] {verbatim}

This class uses an aggregate DirectSparseFortranCompatibleSolver (DSFCS) object to factorize K above and then to solve for the linear systems involving K.

Definition at line 81 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.hpp.

Member Typedef Documentation

typedef AbstractLinAlgPack::DirectSparseFortranCompatibleSolver ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::DirectSparseFortranCompatibleSolver

Definition at line 89 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.hpp.

Member Enumeration Documentation

enum ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::ERunTests

Definition at line 104 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.hpp.

enum ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::EPrintMoreOrLess

Definition at line 107 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.hpp.

Constructor & Destructor Documentation

ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::MatrixKKTFullSpaceRelaxed ( const direct_solver_ptr_t & direct_solver = 0 )

Definition at line 45 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

Member Function Documentation

void ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::set_direct_solver ( const Teuchos::RefCountPtr< DirectSparseFortranCompatibleSolver > & direct_solver ) [inline]

<<std comp="">> members for the direct sparse linear solver

Definition at line 110 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.hpp.

void ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::initialize ( const MatrixOp & G,

const MatrixOp & A,

std::ostream * out = 0,

EPrintMoreOrLess print_what = PRINT_LESS,

ERunTests test_what = NO_TESTS

)

Initialize the nonrelaxed matrix.

Definition at line 55 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

void ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::initialize_relaxed ( const MatrixOp & G,

const MatrixOp & A,

const DVectorSlice & c,

value_type bigM = 1e+10,

std::ostream * out = 0,

EPrintMoreOrLess print_what = PRINT_LESS,

ERunTests test_what = NO_TESTS

)

Initialize the relaxed matrix.
If the unrelaxed QP is well scaled (near 1.0) then a reasonable value for bigM = M might be 1e+10 however this is problem specific.
Definition at line 81 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

void ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::set_uninitialized ( )

Set the matrix to uninitialized.
The purpose of this method is for the client to specifically state that it is done using this object for now. This is to avoid problems where the definitions of G and A might change and then another client unknowingly trys to use this object.
Note that this does not erase storage of the factorization structure for example.
Definition at line 90 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

void ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::release_memory ( )

Clear all allocated storage.
The client should call this routine if he wants the new KKT matrix to be reanalyze and factorized the next time initialize...(...) is called.
Definition at line 97 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

size_type ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::rows ( ) const

Definition at line 107 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

size_type ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::cols ( ) const

Definition at line 113 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

std::ostream & ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::output ( std::ostream & out ) const

Definition at line 121 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

MatrixOp & ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::operator= ( const MatrixOp & m )

Definition at line 129 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

void ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::Vp_StMtV ( DVectorSlice * vs_lhs,

value_type alpha,

BLAS_Cpp::Transp trans_rhs1,

const DVectorSlice & vs_rhs2,

value_type beta

) const

(2) vs_lhs = alpha * op(M_rhs1) * vs_rhs2 + beta * vs_lhs (BLAS xGEMV)

Definition at line 137 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

void ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::V_InvMtV ( DVectorSlice * v_lhs,

BLAS_Cpp::Transp trans_rhs1,

const DVectorSlice & vs_rhs2

) const

(1) v_lhs = inv(op(M_rhs1)) * vs_rhs2

Definition at line 183 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

FortranTypes::f_int ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::num_nonzeros ( EExtractRegion extract_region ) const

Definition at line 194 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

void ConstrainedOptPack::MatrixKKTFullSpaceRelaxed::coor_extract_nonzeros ( EExtractRegion extract_region,

const FortranTypes::f_int len_Aval,

FortranTypes::f_dbl_prec Aval[],

const FortranTypes::f_int len_Aij,

FortranTypes::f_int Arow[],

FortranTypes::f_int Acol[],

const FortranTypes::f_int row_offset,

const FortranTypes::f_int col_offset

) const

Definition at line 218 of file ConstrainedOptPack_MatrixKKTFullSpaceRelaxed.cpp.

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

Generated on Thu Sep 18 12:34:17 2008 for ConstrainedOptPack: C++ Tools for Constrained (and Unconstrained) Optimization by

1.3.9.1


Initialize the relaxed or unrelaxed KKT matrix.
These operations will factorize the matrix K. If the matrix K is not full rank then a SingularMatrixException exception will be thrown. The objects G and A must support the MatrixConvertToSparseFortranCompatible (MCTSFC) interface or the exception InvalidMatrixType will be thrown. Some of the common arguments that these initialization methods share are: {itemize} G [I] Hessian matrix ( must support MESFCE interface ). A [I] Gradient of constraints matrix ( must support MESFCE interface ). out [O] Output stream to print to. This stream may be used for output after initialization also so make sure that it remains valid as long as this matrix object is is use. For no output set out=NULL. run_test [I] If set the true then many (expensive) tests will be preformed to ensure that everything is working properly. print_more [I] If set the true then a lot more output may be produced expecially if some error occurs. {itemize} Important: It is vital that the definitions of G and A do not change externally while this object is being used. To do so may invalidate the behavior of this object (especially the MatrixOp functions). This class will try to reuse the factorization structure from the last call to initialze(...) or initialize_relaxed(...) when possible. Namely if G and A have the same dimensions and same number of nonzeros of the matrices previously factorized, it will be assumed that the structure will be the same. If this is not the case then the client should call release_memory(...) to wipe the slate clean and start over before calling initialize...(...) again.
void	initialize (const MatrixOp &G, const MatrixOp &A, std::ostream *out=0, EPrintMoreOrLess print_what=PRINT_LESS, ERunTests test_what=NO_TESTS)
	Initialize the nonrelaxed matrix.
void	initialize_relaxed (const MatrixOp &G, const MatrixOp &A, const DVectorSlice &c, value_type bigM=1e+10, std::ostream *out=0, EPrintMoreOrLess print_what=PRINT_LESS, ERunTests test_what=NO_TESTS)
	Initialize the relaxed matrix.
void	set_uninitialized ()
	Set the matrix to uninitialized.
void	release_memory ()
	Clear all allocated storage.
Public Types
typedef AbstractLinAlgPack::DirectSparseFortranCompatibleSolver	DirectSparseFortranCompatibleSolver

enum	ERunTests
	More...
enum	EPrintMoreOrLess
	More...
Public Member Functions
void	set_direct_solver (const Teuchos::RefCountPtr< DirectSparseFortranCompatibleSolver > &direct_solver)
	<<std comp="">> members for the direct sparse linear solver
	MatrixKKTFullSpaceRelaxed (const direct_solver_ptr_t &direct_solver=0)

size_type	rows () const

size_type	cols () const

std::ostream &	output (std::ostream &out) const

MatrixOp &	operator= (const MatrixOp &m)

void	Vp_StMtV (DVectorSlice *vs_lhs, value_type alpha, BLAS_Cpp::Transp trans_rhs1, const DVectorSlice &vs_rhs2, value_type beta) const
	(2) vs_lhs = alpha * op(M_rhs1) * vs_rhs2 + beta * vs_lhs (BLAS xGEMV)
void	V_InvMtV (DVectorSlice *v_lhs, BLAS_Cpp::Transp trans_rhs1, const DVectorSlice &vs_rhs2) const
	(1) v_lhs = inv(op(M_rhs1)) * vs_rhs2
FortranTypes::f_int	num_nonzeros (EExtractRegion extract_region) const

void	coor_extract_nonzeros (EExtractRegion extract_region, const FortranTypes::f_int len_Aval, FortranTypes::f_dbl_prec Aval[], const FortranTypes::f_int len_Aij, FortranTypes::f_int Arow[], FortranTypes::f_int Acol[], const FortranTypes::f_int row_offset, const FortranTypes::f_int col_offset) const