Abstract: This paper describes the design, implementation, and performance of a new parallel QR factorization algorithm based on the Compact WY representation of Householder reflections. In contrast ...

A distributed-memory parallel implementation of the sparsified QR factorization algorithm using the TaskTorrent runtime system. This repository provides efficient QR factorization for large sparse ...

Abstract: Two nonlinear zeroing neural network (ZNN) models with prescribed-time convergence for time-dependent matrix LR and QR factorization are proposed in this ...

Multifrontal QR algorithm, which consists of symbolic analysis and numerical factorization, is a high-performance algorithm for orthogonal factorizing sparse matrix. In this work, a graph ...

Both QR decomposition and singular value decomposition (SVD) are matrix factorization techniques that have different applications and properties. The choice between them depends on the specific ...

Dynamic LR and QR factorization are fundamental problems that exist widely in the control field. However, the existing solutions under noises are lack of convergence speed and anti-noise ability. To ...

We present an algorithm to generate complete evolutionary profiles that represent the topology of the molecular phylogenetic tree of the homologous group. The method, based on the multidimensional QR ...