QR matrix decomposition

Functions
int	hal_ni_QR32f (float *src1, size_t src1_step, int m, int n, int k, float *src2, size_t src2_step, float *dst, int *info)
int	hal_ni_QR64f (double *src1, size_t src1_step, int m, int n, int k, double *src2, size_t src2_step, double *dst, int *info)

Detailed Description

Performs QR decomposition of \(M\times N\)( \(M>N\)) matrix \(A = Q*R\) 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 upper triangular \(N\times N\) matrix \(R\). Lower triangle of src1 will be filled with vectors of elementary reflectors. See [VandLec] and Lapack's DGEQRF documentation for details.
src1_step	number of bytes between two consequent rows of matrix \(A\).
m	number fo rows in matrix \(A\).
n	number of columns in matrix \(A\).
k	number of right-hand vectors in \(M\times K\) matrix \(B\).
src2	pointer to \(M\times K\) 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 QR decomposition will be performed. Otherwise system will be solved and src1 will be used as temporary buffer, so after finish of work src2 contains solution \(X\) of system \(A*X=B\).
src2_step	number of bytes between two consequent rows of matrix \(B\).
dst	pointer to continiuos \(N\times 1\) array for scalar factors of elementary reflectors. See [VandLec] for details.
info	indicates success of decomposition. If *info is zero decomposition failed.

Function Documentation

hal_ni_QR32f()

int hal_ni_QR32f ( float *  src1, size_t  src1_step, int  m, int  n, int  k, float *  src2, size_t  src2_step, float *  dst, int *  info  )

inline

hal_ni_QR64f()

int hal_ni_QR64f ( double *  src1, size_t  src1_step, int  m, int  n, int  k, double *  src2, size_t  src2_step, double *  dst, int *  info  )

inline