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

Semantic Scholar uses AI to extract papers important to this topic.

2008

2008

2006

Some iterative methods for the solution of the steady Euler equations can be analyzed by considering them as modifications of…

2003

1999

Eigenvalue repulsion can explain the holographic growth of black holes in Matrix theory. The resulting picture is essentially the…

1997

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

1996

New upper and lower matrix bounds of the solution for the discrete algebraic Riccati equation are developed. The former is new…

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…

1962