Inheritance diagram for TSymCompRowMatrix< MT >:

Public Member Functions
void	New (int nrows, int ncols)
	Reset the matrix dimensions. More...

	TSymCompRowMatrix (int rows, int cols)

	TSymCompRowMatrix (int rows, int cols, const int rptr, const int cidx, const MT *data=0)

MatrixStorage	StorageType () const
	Matrix storage class. More...

void	Initialise (const int _rowptr, const int _colidx, const MT *data=0)

void	AllowColIndexing (bool yes)

void	SetColAccess (bool yes) const

MT &	operator() (int r, int c)

MT	Get (int r, int c) const
	Retrieve a matrix element. More...

void	Add (int r, int c, const MT &val)

TVector< MT >	Row (int r) const
	Returns a vector containing a copy of row `r'. More...

TVector< MT >	Col (int c) const
	Returns a vector containing a copy of column 'c'. More...

int	SparseRow (int r, idxtype ci, MT rv) const
	Returns a row of the matrix in sparse format. More...

void	RowScale (const TVector< MT > &scale)

void	ColScale (const TVector< MT > &scale)

MT	GetNext (int &r, int &c) const

void	Ax (const TVector< MT > &x, TVector< MT > &b) const

void	Ax (const TVector< MT > &x, TVector< MT > &b, int r1, int r2) const

void	ATx (const TVector< MT > &x, TVector< MT > &b) const

int	Shrink ()

void	SymbolicCholeskyFactorize (idxtype &frowptr, idxtype &fcolidx) const

Public Member Functions inherited from TGenericSparseMatrix< MT >
	TGenericSparseMatrix ()
	Create a sparse matrix of size 0 x 0.

	TGenericSparseMatrix (int rows, int cols, int nv=0, const MT *data=0)
	Create a sparse matrix of logical size rows x cols. More...

	TGenericSparseMatrix (int rows, int cols, int nv, MT *data, CopyMode cmode=DEEP_COPY)

	TGenericSparseMatrix (const TGenericSparseMatrix< MT > &m)
	Constructs a matrix as a copy of 'm'.

virtual	~TGenericSparseMatrix ()
	Destructor.

virtual bool	Exists (int r, int c) const =0
	Checks allocation of a matrix element. More...

virtual void	Unlink ()

void	Initialise (int nv, const MT *data)

void	Initialise (int nv, MT *data, CopyMode cmode)

void	Zero ()

int	nVal () const

MT &	Val (int i)

MT *	ValPtr ()

const MT *	ValPtr () const

TGenericSparseMatrix &	*operator=** (const MT &sc)

TVector< MT >	operator* (const TVector< MT > &x) const

TVector< MT >	ATx (const TVector< MT > &x) const

double	FillFraction () const

virtual void	Display (std::ostream &os) const

virtual void	PrintFillinGraph (const char *fname, int maxdim=600, bool binary=true, bool antialias=true)

virtual void	ExportRCV (std::ostream &os)
	Write sparse matrix to ASCII output stream. More...

Public Member Functions inherited from TMatrix< MT >
	TMatrix ()
	Create a matrix of size 0 x 0.

	TMatrix (int nrows, int ncols)
	Create a matrix of logical size nrows x ncols. More...

	TMatrix (const TMatrix< MT > &m)
	Create a matrix as a copy of another matrix. More...

virtual	~TMatrix ()
	Destroy the matrix. More...

int	Dim (RC rc) const
	Return a matrix dimension. More...

int	nRows () const
	Return number of rows of the matrix. More...

int	nCols () const
	Return number of columns of the matrix. More...

bool	isSparse () const
	Return sparse storage flag. More...

bool	isFull () const
	Return dense storage flag. More...

MT	operator() (int r, int c) const
	Matrix element access (read only) More...

virtual void	SetRow (int r, const TVector< MT > &row)
	Substitute a row of the matrix. More...

virtual TVector< MT >	Diag () const
	Returns the matrix diagonal as a vector. More...

virtual TVector< MT >	ColNorm () const
	Returns vector of column norms. More...

TVector< MT >	operator* (const TVector< MT > &x) const

TVector< MT >	ATx (const TVector< MT > &x) const

virtual void	Transpone ()

virtual MT	RowMult (int r, MT *x) const

void	Export (std::ostream &os) const
	Write matrix to ASCII stream. More...

void	Print (std::ostream &os=std::cout, int n=80) const

void	PrintNzeroGraph (char *fname)

virtual int	pcg (const TVector< MT > &b, TVector< MT > &x, double &tol, TPreconditioner< MT > *precon=0, int maxit=0) const

virtual void	pcg (const TVector< MT > b, TVector< MT > x, int nrhs, double tol, int maxit=0, TPreconditioner< MT > precon=0, IterativeSolverResult res=0) const

virtual int	bicgstab (const TVector< MT > &b, TVector< MT > &x, double &tol, TPreconditioner< MT > *precon=0, int maxit=0) const

virtual void	bicgstab (const TVector< MT > b, TVector< MT > x, int nrhs, double tol, int maxit=0, TPreconditioner< MT > precon=0, IterativeSolverResult res=0) const

template<>
int	pcg (const FVector &b, FVector &x, double &tol, TPreconditioner< float > *precon, int maxit) const

template<>
void	pcg (const FVector b, FVector x, int nrhs, double tol, int maxit, TPreconditioner< float > precon, IterativeSolverResult res) const

template<>
int	bicgstab (const FVector &b, FVector &x, double &tol, TPreconditioner< float > *precon, int maxit) const

template<>
void	bicgstab (const FVector b, FVector x, int nrhs, double tol, int maxit, TPreconditioner< float > precon, IterativeSolverResult res) const

Public Attributes
idxtype *	rowptr

idxtype *	colidx

idxtype *	colptr

idxtype *	rowidx

idxtype *	vofs

bool	col_access

Friends
bool	CholeskyFactorize (const TSymCompRowMatrix< MT > &A, TCompRowMatrix< MT > &L, TVector< MT > &d, bool recover)

std::istream &	operator>> (std::istream &is, TSymCompRowMatrix< MT > &m)

std::ostream &	operator<< (std::ostream &os, const TSymCompRowMatrix< MT > &m)

Additional Inherited Members
Public Types inherited from TMatrix< MT >
enum	RC { ROW, COL }

Static Public Member Functions inherited from TGenericSparseMatrix< MT >
static void	GlobalSelectIterativeSolver (IterativeMethod method)

static void	GlobalSelectIterativeSolver_complex (IterativeMethod method)

static IterativeMethod	GetGlobalIterativeSolver ()

static IterativeMethod	GetGlobalIterativeSolver_complex ()

Protected Member Functions inherited from TGenericSparseMatrix< MT >
void	Append (MT v=0)

Protected Attributes inherited from TGenericSparseMatrix< MT >
MT *	val

int	nbuf

int	nval

Protected Attributes inherited from TMatrix< MT >
int	rows

int	cols

Member Function Documentation

template<class MT>

TVector<MT> TSymCompRowMatrix< MT >::Col ( int c ) const

inlinevirtual

Returns a vector containing a copy of column 'c'.

Parameters

c	column index (>= 0)

Returns: vector containing column c

Note: Sparse matrix types expand to a dense column, with missing entries filled with zeros, so this can be used as a "scatter" operation.

See Also: Row

Implements TMatrix< MT >.

template<class MT>

MT TSymCompRowMatrix< MT >::Get	(	int	r,
		int	c
	)		const

virtual

Retrieve a matrix element.

Parameters

r	matrix row (0 <= r < nRows())
c	matrix column (0 <= c < nCols())

Returns: matrix element (*this)_r,c

Note: This is a read operation and returns the element value. For writing operations, use Put() or operator().

See Also: operator()

Implements TGenericSparseMatrix< MT >.

template<class MT>

void TSymCompRowMatrix< MT >::New	(	int	nrows,
		int	ncols
	)

virtual

Reset the matrix dimensions.

Parameters

nrows	number of matrix rows
ncols	number of matrix columns

Note: This method unlinks the matrix from its current data block by calling Unlink(), then resets its logical dimensions by calling TMatrix::New().; To allocate a new data block for the matrix after New(), use Initialise().

See Also: Unlink, Initialise, TMatrix::New

Reimplemented from TGenericSparseMatrix< MT >.

template<class MT>

TVector<MT> TSymCompRowMatrix< MT >::Row ( int r ) const

virtual

Returns a vector containing a copy of row `r'.

Parameters

r	row index (>= 0)

Returns: vector containing row r

Note: Sparse matrix types expand to a dense row, with missing entries filled with zeros, so this can be used as a "scatter" operation.

See Also: SparseRow, SetRow

Implements TMatrix< MT >.

template<class MT>

int TSymCompRowMatrix< MT >::SparseRow	(	int	r,
		idxtype *	colidx,
		MT *	val
	)		const

virtual

Returns a row of the matrix in sparse format.

Returns a list of column indices and values for all allocated entries of row r. This is only really useful for sparse matrix types. For dense matrices this simply returns the complete row, with indices 0, 1, 2, ... n-1

Parameters