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…

2011

We consider mixed problems for strongly elliptic second-order systems in a bounded domain with Lipschitz boundary in the space ℝn…

2008

2006

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

2006

This brief presents a new application of the theory of noise in free running oscillators based on the Floquet eigenvector…

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…

1987

Finite dynamic element methods were introduced by Premieniecki [11] and were studied by Paz and Dung [10], K.K. Gupta [5, 67, 8…

1986

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

1962