OpenCV: Cholesky matrix decomposition

| OpenCV 3.4.2 Open Source Computer Vision

Functions
Cholesky matrix decomposition
Core functionality » Hardware Acceleration Layer » Interface

## 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

  src1 | pointer to input matrix \(A\) stored in row major order. After finish of work src1 contains lower triangular matrix \(L\).
  src1_step | number of bytes between two consequent rows of matrix \(A\).
  m | size of square matrix \(A\).
  src2 | pointer 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_step | number of bytes between two consequent rows of matrix \(B\).
  n | number of right-hand vectors in \(M\times N\) matrix \(B\).
  info | indicates 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

## ◆ 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