Main Page | Modules | Alphabetical List | Data Structures | Directories | File List | Globals | Related Pages

dsdpdatamat.h File Reference


Detailed Description

The interface between the SDPCone and the data matrices.

Definition in file dsdpdatamat.h.

Go to the source code of this file.

Typedefs

typedef DSDPDataMat_C DSDPDataMat
 Represents a single symmetric data matrix for one block in this semidefinite cone.

Functions

int DSDPDataMatCountNonzeros (DSDPDataMat, int *, int)
 Compute the square of the Frobenius norm.
int DSDPDataMatDestroy (DSDPDataMat *)
 Free the data structures.
int DSDPDataMatDot (DSDPDataMat, double[], int, int, double *)
 Compute inner product of data with a dense matrix.
int DSDPDataMatFNorm2 (DSDPDataMat, int, double *)
 Compute the square of the Frobenius norm.
int DSDPDataMatGetEig (DSDPDataMat, int, SDPConeVec, DSDPIndex, double *)
 Get an eigenvalue/vector pair.
int DSDPDataMatGetRank (DSDPDataMat, int *, int)
 Get the number of nonzero eigenvalues/eigenvectors for the matrix.
int DSDPDataMatGetRowNonzeros (DSDPDataMat, int, int, int *, int *)
 Get sparsity pattern of a row of the matrix.
int DSDPDataMatInitialize (DSDPDataMat *)
 Set pointers to NULL;.
int DSDPDataMatSetData (DSDPDataMat *, struct DSDPDataMat_Ops *, void *)
 Set the opaque pointer and function pointers to the matrix.
int DSDPDataMatTest (DSDPDataMat)
 Test validity of matrix.
int DSDPDataMatVecVec (DSDPDataMat, SDPConeVec, double *)
 Compute w' A w.
int DSDPDataMatView (DSDPDataMat)
 Print matrix.


Typedef Documentation

struct DSDPDataMat DSDPDataMat
 

Represents a single symmetric data matrix for one block in this semidefinite cone.

Definition at line 25 of file dsdpdatamat.h.


Function Documentation

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.

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().

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().

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().

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().

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().

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().

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().

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().

int DSDPDataMatTest DSDPDataMat  A  ) 
 

Test validity of matrix.

Parameters:
A symmetric data matrix

Definition at line 96 of file dsdpdatamat.c.

Referenced by DSDPDataMatSetData().

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().

int DSDPDataMatView DSDPDataMat  A  ) 
 

Print matrix.

Parameters:
A symmetric data matrix

Definition at line 423 of file dsdpdatamat.c.

Referenced by DSDPBlockView2(), and SDPConeViewDataMatrix().


Generated on Fri Oct 21 14:28:38 2005 for DSDP by  doxygen 1.4.2