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 ...

Abstract: The algorithm is a new approach for solving eigenvalue problem which is based on the P (p, q, w) rotation transform; it is the effective way for solving all the eigenvalues and eigenvectors ...

We present optimal parallel QR factorization algorithms with reduced communication overhead. QR factorization is widely applied to solve various problems in numerical linear algebra. Our focus is on ...

The National Security Agency (NSA) released the “Commercial National Security Algorithm Suite 2.0” (CNSA 2.0) Cybersecurity Advisory (CSA) today to notify National Security Systems (NSS) owners, ...