OpenCV  4.1.1-pre
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Cholesky matrix decomposition

Performs Cholesky decomposition of matrix \(A = L*L^T\) and solves matrix equation \(A*X=B\). More...

Collaboration diagram for Cholesky matrix decomposition:

Functions

int hal_ni_Cholesky32f (float *src1, size_t src1_step, int m, float *src2, size_t src2_step, int n, bool *info)
 
int hal_ni_Cholesky64f (double *src1, size_t src1_step, int m, double *src2, size_t src2_step, int n, bool *info)
 

Detailed Description

Performs Cholesky decomposition of matrix \(A = L*L^T\) and solves matrix equation \(A*X=B\).

Parameters
src1pointer to input matrix \(A\) stored in row major order. After finish of work src1 contains lower triangular matrix \(L\).
src1_stepnumber of bytes between two consequent rows of matrix \(A\).
msize of square matrix \(A\).
src2pointer to \(M\times N\) matrix \(B\) which is the right-hand side of system \(A*X=B\). B stored in row major order. If src2 is null pointer only Cholesky decomposition will be performed. After finish of work src2 contains solution \(X\) of system \(A*X=B\).
src2_stepnumber of bytes between two consequent rows of matrix \(B\).
nnumber of right-hand vectors in \(M\times N\) matrix \(B\).
infoindicates success of decomposition. If *info is false decomposition failed.

Function Documentation

◆ hal_ni_Cholesky32f()

int hal_ni_Cholesky32f ( float *  src1,
size_t  src1_step,
int  m,
float *  src2,
size_t  src2_step,
int  n,
bool *  info 
)
inline

#include <core/src/hal_replacement.hpp>

Referenced by hal_ni_LU64f().

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◆ hal_ni_Cholesky64f()

int hal_ni_Cholesky64f ( double *  src1,
size_t  src1_step,
int  m,
double *  src2,
size_t  src2_step,
int  n,
bool *  info 
)
inline

#include <core/src/hal_replacement.hpp>

References CV_HAL_ERROR_NOT_IMPLEMENTED, and hal_ni_SVD32f().

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