Abstract: We consider computing the QR factorization with column pivoting (QRCP) for a tall and skinny matrix, which has important applications including low-rank approximation and rank determination.

QR-decomposition based QR-algorithm for eigenvalues evaluation of symmetric matrix with real values with OpenMP directives for parallelization of computations for multi-core systems ...

One of the main uses of QR decomposition A=QR is in solving the linear least squares problem Ax=b. In order to solve this problem, the only access we need of Q is the ability to apply it (or its ...