Eigenvalue algorithm

Known as: Eigensolver, Matrix eigenvalue problem, Symbolic computation of matrix eigenvalues

In numerical analysis, one of the most important problems is designing efficient and stable algorithms for finding the eigenvalues of a matrix, or…

Papers overview

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2012

Obtaining highly accurate predictions on properties of light atomic nuclei using the Configuration Interaction (CI)approach…

2008

The novel idea of the subwavelength waveguide transmission presented in this work relies on the insertion of electric and…

2008

2006

This paper presents the advances in electromagnetic (EM) field computation that have been enabled by the US DOE SciDAC…

1999

Abstract.In this paper we present a proof of convergence for a preconditioned subspace method which shows the dependency of the…

1997

The BR algorithm, a new method for calculating the eigenvalues of an upper Hessenberg matrix, is introduced. It is a bulge…

1986

The characteristic impedance of finlines with up to three slots is calculated by a rigorous hybrid-mode analysis which includes…

1986

We give an tmproved versíon of Sameh's parallel norttrreducing eigenvalue algorithm. The use of so-called Euclidean parameters of…

1973

This algorithm is an extension of Moler and Stewart's QZ algorithm with some added features for saving time and operations. Also…

1962