OpenCV  3.2.0 Open Source Computer Vision
LU matrix decomposition

## Functions

int hal_ni_LU32f (float *src1, size_t src1_step, int m, float *src2, size_t src2_step, int n, int *info)

int hal_ni_LU64f (double *src1, size_t src1_step, int m, double *src2, size_t src2_step, int n, int *info)

## Detailed Description

Performs $$LU$$ decomposition of square matrix $$A=P*L*U$$ (where $$P$$ is permutation matrix) and solves matrix equation $$A*X=B$$. Function returns the $$sign$$ of permutation $$P$$ via parameter info.

Parameters
 src1 pointer to input matrix $$A$$ stored in row major order. After finish of work src1 contains at least $$U$$ part of $$LU$$ decomposition which is appropriate for determainant calculation: $$det(A)=sign*\prod_{j=1}^{M}a_{jj}$$. 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 $$LU$$ 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 equals to zero decomposition failed, othervise *info is equals to $$sign$$.

## § hal_ni_LU32f()

 int hal_ni_LU32f ( float * src1, size_t src1_step, int m, float * src2, size_t src2_step, int n, int * info )

## § hal_ni_LU64f()

 int hal_ni_LU64f ( double * src1, size_t src1_step, int m, double * src2, size_t src2_step, int n, int * info )