public

The public members of the TSparseMtx class are listed here.

	Name	Description
	Ai	This is Ai, a member of class TSparseMtx.
	Ap	This is Ap, a member of class TSparseMtx.
	Control	This is Control, a member of class TSparseMtx.
	Info	This is Info, a member of class TSparseMtx.
	SControl	This is SControl, a member of class TSparseMtx.
	SInfo	This is SInfo, a member of class TSparseMtx.

Public Methods

	Name	Description
	Add	This is the overview for the Add method overload.
	AddSplit	This is the overview for the AddSplit method overload.
	Adjung	Adjungate operation.
	BandedToSparse	Converts banded matrix to modified compressed column sparse matrix format.
	ConjMul	Conjugate Sparse2 and matrix multiply it with Sparse1.
	Copy	Copies sparse matrix from Src to the calling object.
	CopyTo	Copies sparse matrix from Src to the calling object.
	DenseToSparse	Convert dense matrix to sparse matrix format.
	Diag	Copies the kk-th diagonal of TSparseMtx to the Vec object.
	DiagonalsCount	Calculates the number of diagonals above and below main diagonal.
	DivideElem	Divide individual elements of sparse matrices.
	EigSym	Computes eigenvalues and eigenvectors for symmetric (hermitian) sparse matrix.
	EigSymGen	Computes eigenvalues and eigenvectors for generalized symmetric (hermitian) sparse problem.
	Equal	This is the overview for the Equal method overload.
	ExpandSymmetric	Form a full symmetric matrix from upper half with diagonal included.
	FreeNumeric	Frees the numeric object used by the Umfpack.
	FreePardiso	Frees the memory of the Pardiso solver.
	FreeSymbolic	Frees the symbolic object used by the Umfpack.
	FreeTaucs	Releases factorization stored by taucs.
	Inv	The inverse matrix.
	IsEqualSize	Compares matrix size.
	LoadFromMatrixMarketFile	Loads the matrix stored in a matrix market file format.
	LowerTriangle	Extract lower part of the Mtx.
	Max	Maximum of all non-zero elements.
	Maxc	Maximum of all non-zero complex elements.
	Mean	Average of all non-zero elements.
	Meanc	Average of all non-zero complex elements.
	Min	Minimum of all non-zero elements.
	Minc	Minimum of all non-zero complex elements.
	Mul	Multiply two sparse matrices (matrix multiplication).
	MulLeft	This is the overview for the MulLeft method overload.
	MulRight	This is the overview for the MulRight method overload.
	PixelDownSample	Reduces dense matrix for screen display (bitmap) to show the non-zero pattern.
	RandomSparse	Creates quadratic non-complex non-singular sparse matrix.
	ResidualNorm	The residual norm of the solution of the system of linear equations A*X=B.
	Resize	Resizes the sparse matrix to a new number of non-zeros.
	RMS	Root mean squared of all non-zero elements.
	SaveToMatrixMarketFile	Saves the matrix in matrix market file format.
	Size	This is the overview for the Size method overload.
	Solve	This is the overview for the Solve method overload.
	SolveIterative	This is the overview for the SolveIterative method overload.
	SparseToBanded	Convert sparse matrix to banded matrix.
	SparseToDense	Convert sparse matrix to banded matrix.
	SparseToTriplets	This is the overview for the SparseToTriplets method overload.
	Split	Split sparse matrix into lower triangle, main diagonal and upper triangle.
	StringsToValues	Convert strings to specific matrix format.
	StructurizeSymmetric	Required by Pardiso solver to solve for general matrices.
	Sub	Subract two sparse matrices.
	Transp	This is the overview for the Transp method overload.
	TripletsToSparse	This is the overview for the TripletsToSparse method overload.
	TripletsToSparseAndFlush	Construct a sparse matrix by specifying the position of each element in dense matrix.
	UpperTriangle	Extract upper part of the Mtx.
	ValuesToStrings	Convert matrix values to strings.
	ZeroThresh	Reduces the number of non-zeros.

Public Properties

	Name	Description
	ActualIters	Returns the number of actual iterations performed by Solve.
	BackError	Holds the backward or iterative stopping criteria.
	CValue	Allows setting and getting double precision complex values.
	MtxError	Holds the error string, if an error has occurred.
	SCValue	Allows setting and getting single precision complex values.
	SparsePattern	Defines the pattern used when solving a system of linear equations.
	SValue	Allows setting and single precision values.
	Value	Allows setting and getting value at position Row and Col.

Links

TSparseMtx Class, Legend, Public Fields, Public Methods, Public Properties

What do you think about this topic? Send feedback!