For fast, efficient matrix computations, analog computing with resistive memory arrays has been proven to be a promising solution. In this Tutorial, we present analog matrix computing (AMC) circuits ...

Clarke’s matrix has been applied as a phase-mode transformation matrix to three-phase transmission lines substituting the eigenvector matrices. Considering symmetrical untransposed three-phase lines, ...

Alway, G.G. (1965) An Algorithm for Reducing the Bandwidth of a Matrix of Symmetrical Configuration. The Computer Journal, 8, 264-272.

This project implements a clustering algorithm based on Symmetric Non-negative Matrix Factorization (SymNMF) and compares its performance with K-means clustering. The algorithm applies to multiple ...

This method not only reduces the number of factors involved and speeds up the optimization but also achieves precise pattern shaping. To showcase its effectiveness, three examples involving linear and ...

Leopard is a fast, modern implementation of sparse, multifrontal symmetric indefinite matrix factorization. It lets you factorize and solve for large sparse matrices much faster than what is possible ...