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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… 
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Papers overview

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2012
2012
Obtaining highly accurate predictions on properties of light atomic nuclei using the Configuration Interaction (CI)approach… 
2008
2008
The novel idea of the subwavelength waveguide transmission presented in this work relies on the insertion of electric and… 
2006
2006
This paper presents the advances in electromagnetic (EM) field computation that have been enabled by the US DOE SciDAC… 
2006
2006
Some iterative methods for the solution of the steady Euler equations can be analyzed by considering them as modifications of… 
2005
2005
*† A new approach for efficient, accurate and robust computation of dynamic response of extremely large, detailed structural… 
1999
1999
Eigenvalue repulsion can explain the holographic growth of black holes in Matrix theory. The resulting picture is essentially the… 
1996
1996
New upper and lower matrix bounds of the solution for the discrete algebraic Riccati equation are developed. The former is new… 
1986
1986
We give an tmproved versíon of Sameh's parallel norttrreducing eigenvalue algorithm. The use of so-called Euclidean parameters of… 
1986
1986
The characteristic impedance of finlines with up to three slots is calculated by a rigorous hybrid-mode analysis which includes…