Processing math: 100%
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Functions
Singular value matrix decomposition

Functions

int hal_ni_SVD32f (float *src, size_t src_step, float *w, float *u, size_t u_step, float *vt, size_t vt_step, int m, int n, int flags)
 
int hal_ni_SVD64f (double *src, size_t src_step, double *w, double *u, size_t u_step, double *vt, size_t vt_step, int m, int n, int flags)
 

Detailed Description

Performs singular value decomposition of M\times N( M>N) matrix A = U*\Sigma*V^T.

Parameters
srcpointer to input M\times N matrix A stored in column major order. After finish of work src will be filled with rows of U or not modified (depends of flag CV_HAL_SVD_MODIFY_A).
src_stepnumber of bytes between two consequent columns of matrix A.
wpointer to array for singular values of matrix A (i. e. first N diagonal elements of matrix \Sigma).
upointer to output M\times N or M\times M matrix U (size depends of flags). Pointer must be valid if flag CV_HAL_SVD_MODIFY_A not used.
u_stepnumber of bytes between two consequent rows of matrix U.
vtpointer to array for N\times N matrix V^T.
vt_stepnumber of bytes between two consequent rows of matrix V^T.
mnumber fo rows in matrix A.
nnumber of columns in matrix A.
flagsalgorithm options (combination of CV_HAL_SVD_FULL_UV, ...).

Function Documentation

§ hal_ni_SVD32f()

int hal_ni_SVD32f ( float *  src,
size_t  src_step,
float *  w,
float *  u,
size_t  u_step,
float *  vt,
size_t  vt_step,
int  m,
int  n,
int  flags 
)
inline

§ hal_ni_SVD64f()

int hal_ni_SVD64f ( double *  src,
size_t  src_step,
double *  w,
double *  u,
size_t  u_step,
double *  vt,
size_t  vt_step,
int  m,
int  n,
int  flags 
)
inline