Call an implementation of the data matrix operations. More...

Functions
int	DSDPDataMatAddMultiple (DSDPDataMat A, double ytmp, double *v, int nn, int n)
	Add a multiple the data matrix to the array. More...

int	DSDPDataMatCountNonzeros (DSDPDataMat A, int *nnz, int n)
	Compute the square of the Frobenius norm. More...

int	DSDPDataMatDestroy (DSDPDataMat *A)
	Free the data structures. More...

int	DSDPDataMatDot (DSDPDataMat A, double x[], int nn, int n, double *v)
	Compute inner product of data with a dense matrix. More...

int	DSDPDataMatFactor (DSDPDataMat A, SDPConeVec W, double dworknn, int nn0, double dwork3n, int nd, int *iwork, int ni)
	Do eigenvalue/vector or other factorization. More...

int	DSDPDataMatFNorm2 (DSDPDataMat A, int n, double *fnorm2)
	Compute the square of the Frobenius norm. More...

int	DSDPDataMatGetEig (DSDPDataMat A, int rr, SDPConeVec V, DSDPIndex S, double *eigenvalue)
	Get an eigenvalue/vector pair. More...

int	DSDPDataMatGetRank (DSDPDataMat A, int *rank, int n)
	Get the number of nonzero eigenvalues/eigenvectors for the matrix. More...

int	DSDPDataMatGetRowNonzeros (DSDPDataMat A, int nrow, int nmax, int nz, int nnz)
	Get sparsity pattern of a row of the matrix. More...

int	DSDPDataMatInitialize (DSDPDataMat *A)
	Set pointers to NULL;. More...

int	DSDPDataMatOpsInitialize (struct DSDPDataMat_Ops *dops)
	Initialize the table of function pointers for SDP Data matrices. More...

int	DSDPDataMatSetData (DSDPDataMat A, struct DSDPDataMat_Ops ops, void *data)
	Set the opaque pointer and function pointers to the matrix. More...

int	DSDPDataMatTest (DSDPDataMat A)
	Test validity of matrix. More...

int	DSDPDataMatVecVec (DSDPDataMat A, SDPConeVec W, double *v)
	Compute w' A w. More...

int	DSDPDataMatView (DSDPDataMat A)
	Print matrix. More...

Detailed Description

Call an implementation of the data matrix operations.

Definition in file dsdpdatamat.c.

Function Documentation

◆ DSDPDataMatAddMultiple()

int DSDPDataMatAddMultiple	(	DSDPDataMat	A,
		double	ytmp,
		double *	v,
		int	nn,
		int	n
	)

Add a multiple the data matrix to the array.

Parameters

A	symmetric data matrix
ytmp	scalar multiple
v	dense array matrix
nn	dimension of array
n	dimension of matrix

See also: SDPConeSetStorageFormat(); DSDPVMatGetArray()

Definition at line 402 of file dsdpdatamat.c.

Referenced by DSDPBlockASum(), and DSDPDataMatCheck().

◆ DSDPDataMatCountNonzeros()

int DSDPDataMatCountNonzeros	(	DSDPDataMat	A,
		int *	nnz,
		int	n
	)

Compute the square of the Frobenius norm.

Parameters

A	symmetric data matrix.
n	dimension of the matrix.
*nnz	nonzeros in matrix.

Used to identify which of a few strategies to compute Hessian.

Definition at line 152 of file dsdpdatamat.c.

◆ DSDPDataMatDestroy()

int DSDPDataMatDestroy ( DSDPDataMat * A )

Free the data structures.

Parameters

A	symmetric data matrix

Definition at line 444 of file dsdpdatamat.c.

Referenced by DSDPBlockAddDataMatrix(), DSDPBlockDataDestroy(), and DSDPBlockRemoveDataMatrix().

◆ DSDPDataMatDot()

int DSDPDataMatDot	(	DSDPDataMat	A,
		double	x[],
		int	nn,
		int	n,
		double *	v
	)

Compute inner product of data with a dense matrix.

Parameters

A	symmetric data matrix
x	dense array matrix
nn	length of array
n	dimension of matrix.
v	the inner product

See also: SDPConeSetStorageFormat(); DSDPVMatGetArray()

Definition at line 273 of file dsdpdatamat.c.

Referenced by DSDPBlockADot(), and DSDPDataMatCheck().

◆ DSDPDataMatFactor()

int DSDPDataMatFactor	(	DSDPDataMat	A,
		SDPConeVec	W,
		double *	dworknn,
		int	nn0,
		double *	dwork3n,
		int	nd,
		int *	iwork,
		int	ni
	)

Do eigenvalue/vector or other factorization.

Parameters

A	symmetric data matrix
W	work vector
dworknn	work array
nn0	length of dworknn array.
dwork3n	work array
nd	length of work array
iwork	work array
ni	length of iwork array

This routine is called once during the DSDPSetUp routine.

See also: DSDPDataMatGetRank(); DSDPDataMatGetEig()

Definition at line 240 of file dsdpdatamat.c.

Referenced by DSDPBlockFactorData().

◆ DSDPDataMatFNorm2()

int DSDPDataMatFNorm2	(	DSDPDataMat	A,
		int	n,
		double *	fnorm2
	)

Compute the square of the Frobenius norm.

Parameters

A	symmetric data matrix.
n	dimension of the matrix.
fnorm2	square of norm.

Used to scale the problem

Definition at line 175 of file dsdpdatamat.c.

Referenced by DSDPDataMatCheck().

◆ DSDPDataMatGetEig()

int DSDPDataMatGetEig	(	DSDPDataMat	A,
		int	rr,
		SDPConeVec	V,
		DSDPIndex	S,
		double *	eigenvalue
	)

Get an eigenvalue/vector pair.

Parameters

A	symmetric data matrix
rr	identifies which pair of eigs, (0 <= rr < rank)
V	Eigenvector
S	Indentifies sparsity pattern in V.
eigenvalue	the scalar associated with the vector. These pairs do not have to be eigenvalues and eigenvectors. What matters is that the matrix is a sum of the outer products of these vectors. That is, A = sum (rr * V *V')

See also: DSDPDataMatGetRank()

Definition at line 204 of file dsdpdatamat.c.

Referenced by DSDPDataMatCheck(), SDPConeComputeHessian(), SDPConeComputeRHS(), SDPConeComputeXX(), and SDPConeMultiply().

◆ DSDPDataMatGetRank()

int DSDPDataMatGetRank	(	DSDPDataMat	A,
		int *	rank,
		int	n
	)

Get the number of nonzero eigenvalues/eigenvectors for the matrix.

Parameters

A	symmetric data matrix
rank	number of nonzero eigenvalues and vectors.
n	rows and columns in matrix.

Definition at line 129 of file dsdpdatamat.c.

Referenced by DSDPDataMatCheck(), SDPConeComputeHessian(), SDPConeComputeRHS(), SDPConeComputeXX(), and SDPConeMultiply().

◆ DSDPDataMatGetRowNonzeros()

int DSDPDataMatGetRowNonzeros	(	DSDPDataMat	A,
		int	nrow,
		int	nmax,
		int *	nz,
		int *	nnz
	)

Get sparsity pattern of a row of the matrix.

Parameters

A	symmetric data matrix.
nrow	number >=0 and < n.
nmax	dimension of the matrix.
nz	array used to mark nonzeros.
nnz	number of nonzeros in row. Used to create sparse data structure for S and Delta S.

Definition at line 355 of file dsdpdatamat.c.

Referenced by DSDPBlockDataRowSparsity().

◆ DSDPDataMatInitialize()

int DSDPDataMatInitialize ( DSDPDataMat * A )

Set pointers to NULL;.

Parameters

A	symmetric data matrix

Definition at line 78 of file dsdpdatamat.c.

Referenced by DSDPBlockDataAllocate(), and DSDPDataMatDestroy().

◆ DSDPDataMatOpsInitialize()

int DSDPDataMatOpsInitialize ( struct DSDPDataMat_Ops * dops )

Initialize the table of function pointers for SDP Data matrices.

Parameters

dops	pointer to a structure of function pointers.

Definition at line 47 of file dsdpdatamat.c.

Referenced by DSDPDataMatInitialize(), and DSDPDataMatSetData().

◆ DSDPDataMatSetData()

int DSDPDataMatSetData	(	DSDPDataMat *	A,
		struct DSDPDataMat_Ops *	ops,
		void *	data
	)

Set the opaque pointer and function pointers to the matrix.

Parameters

A	symmetric data matrix
ops	pointer to a structure of function pointers
data	pointer to a matrix structure

Definition at line 25 of file dsdpdatamat.c.

Referenced by DSDPBlockAddDataMatrix(), DSDPDataMatInitialize(), and DSDPSetDataMatZero().

◆ DSDPDataMatTest()

int DSDPDataMatTest ( DSDPDataMat A )

Test validity of matrix.

Parameters

A	symmetric data matrix

Definition at line 96 of file dsdpdatamat.c.

Referenced by DSDPDataMatSetData().

◆ DSDPDataMatVecVec()

int DSDPDataMatVecVec	(	DSDPDataMat	A,
		SDPConeVec	W,
		double *	v
	)

Compute w' A w.

Parameters

A	symmetric data matrix
W	vector
v	the inner product

Definition at line 297 of file dsdpdatamat.c.

Referenced by DSDPBlockvAv(), and DSDPDataMatCheck().

◆ DSDPDataMatView()

int DSDPDataMatView ( DSDPDataMat A )

Print matrix.

Parameters

A	symmetric data matrix

Definition at line 423 of file dsdpdatamat.c.

Referenced by DSDPBlockView2(), and SDPConeViewDataMatrix().

Functions

Detailed Description

Function Documentation

◆ DSDPDataMatAddMultiple()

◆ DSDPDataMatCountNonzeros()

◆ DSDPDataMatDestroy()

◆ DSDPDataMatDot()

◆ DSDPDataMatFactor()

◆ DSDPDataMatFNorm2()

◆ DSDPDataMatGetEig()

◆ DSDPDataMatGetRank()

◆ DSDPDataMatGetRowNonzeros()

◆ DSDPDataMatInitialize()

◆ DSDPDataMatOpsInitialize()

◆ DSDPDataMatSetData()

◆ DSDPDataMatTest()

◆ DSDPDataMatVecVec()

◆ DSDPDataMatView()