Sha256: a5d3af398ab70955fdc6ecf104ebfca65fb86e7339f403352422940bfe7cf01a
Contents?: true
Size: 1.8 KB
Versions: 5
Compression:
Stored size: 1.8 KB
Contents
#ifndef SCS_MATRIX_H_GUARD
#define SCS_MATRIX_H_GUARD
#ifdef __cplusplus
extern "C" {
#endif
#include "glbopts.h"
#include "scs.h"
#include "scs_work.h"
/* Normalization routines, used if d->NORMALIZE is true */
/* normalizes A matrix, sets scal->E and scal->D diagonal scaling matrices,
* A -> D*A*E. D and E must be all positive entries, D must satisfy cone
* boundaries */
ScsScaling *SCS(normalize_a_p)(ScsMatrix *P, ScsMatrix *A, ScsConeWork *cone);
/* unnormalizes A matrix, unnormalizes by w->D and w->E */
/* void SCS(un_normalize_a_p)(ScsMatrix *A, ScsMatrix *P, const ScsScaling
* *scal);
*/
/* to free the memory allocated in a ScsMatrix (called on A and P at finish) */
void SCS(free_scs_matrix)(ScsMatrix *A);
/* copies A (instead of in-place normalization), returns 0 for failure,
* allocates memory for dstp */
scs_int SCS(copy_matrix)(ScsMatrix **dstp, const ScsMatrix *src);
scs_float SCS(cumsum)(scs_int *p, scs_int *c, scs_int n);
/**
* Validate the linear system inputs, returns < 0 if not valid inputs.
*
* @param A A data matrix
* @param P P data matrix
* @return status < 0 indicates failure
*/
scs_int SCS(validate_lin_sys)(const ScsMatrix *A, const ScsMatrix *P);
/**
* Forms y += A^T * x
*
* @param A A data matrix
* @param x Input
* @param y Output
*/
void SCS(accum_by_atrans)(const ScsMatrix *A, const scs_float *x, scs_float *y);
/**
* Forms y += A * x
*
* @param A Data matrix
* @param x Input
* @param y Output
*/
void SCS(accum_by_a)(const ScsMatrix *A, const scs_float *x, scs_float *y);
/**
* Forms y += P * x
*
* @param P P data matrix
* @param x Input
* @param y Output
*/
void SCS(accum_by_p)(const ScsMatrix *P, const scs_float *x, scs_float *y);
#ifdef __cplusplus
}
#endif
#endif
Version data entries
5 entries across 5 versions & 1 rubygems