SOLVING LARGE-SCALE QUADRATIC EIGENVALUE PROBLEMS WITH HAMILTONIAN EIGENSTRUCTURE USING A STRUCTURE-PRESERVING KRYLOV SUBSPACE METHOD

被引:0
|
作者
Benner, Peter [1 ]
Fassbender, Heike [2 ]
Stoll, Martin [3 ]
机构
[1] TU Chemnitz, Fak Math Math Ind & Tech, D-09107 Chemnitz, Germany
[2] TU Braunschweig, Inst Computat Math, AG Numer, D-38023 Braunschweig, Germany
[3] Math Inst, Oxford OX1 3LB, England
关键词
quadratic eigenvalue problem; Hamiltonian symmetry; Krylov subspace method; symplectic Lanczos process; gyroscopic systems;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider the numerical solution of quadratic eigenproblems with spectra that exhibit Hamiltonian symmetry. We propose to solve such problems by applying a Krylov-Schur-type method based on the symplectic Lanczos process to a structured linearization of the quadratic matrix polynomial. In order to compute interior eigenvalues, we discuss several shift-and-invert operators with Hamiltonian structure. Our approach is tested for several examples from structural analysis and gyroscopic systems.
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页码:212 / 229
页数:18
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