APIs

qrf

#include "qrf.hpp"

template <
    bool TransposedQ,
    int RowsA,
    int ColsA,
    typename InputType,
    typename OutputType,
    typename QRF_TRAITS = DEFAULT_QRF_TRAITS
    >
void qrf (
    hls::stream <InputType>& matrixAStrm,
    hls::stream <OutputType>& matrixQStrm,
    hls::stream <OutputType>& matrixRStrm
    )

QRF, to computes the full QR factorization (QR decomposition) of input matrix A, A=QR, producing orthogonal output matrix Q and upper-triangular matrix R.

Parameters:

TransposedQ	Selects whether Q is output in transposed form
RowsA	Number of rows in input matrix A
ColsA	Number of columns in input matrix A
InputType	Input data type
OutputType	Output data type
QRF_TRAITS	qrfTraits type with specified values
A	Input matrix
Q	Orthogonal output matrix
R	Upper triangular output matrix