Abstract: This paper proposes a time-efficient parallel architecture for computing eigenvalues of asymmetric matrix with real values. The QR algorithm is used to compute the eigenvalues of asymmetric ...

Abstract: We experimentally demonstrate the transmission of a 4096-ary eigenvalue-modulated signal using 12 triangular-lattice-shaped eigenvalues. A 50-km transmission with a BER 3.8 × 10 −3 at 11.25 ...

Currently, eig and similar throw no method eigfact when applied to these types of matrices. We should be able to provide efficient LAPACK-based solvers for these types. For Tridiagonal, we can exploit ...

Welcome to the nlp-2.1-matrix-decomposition repository! This project provides a collection of algorithms for matrix decomposition, a fundamental concept in linear algebra. Whether you're working on ...