Solving large-scale quadratic eigenvalue problems with Hamiltonian eigenstructure using a structure-preserving Krylov subspace method
From MaRDI portal
Publication:836744
zbMath1171.65374MaRDI QIDQ836744
Peter Benner, Martin Stoll, Heike Fassbender
Publication date: 8 September 2009
Published in: ETNA. Electronic Transactions on Numerical Analysis (Search for Journal in Brave)
Full work available at URL: https://eudml.org/doc/130657
Krylov subspace methodquadratic eigenvalue problemgyroscopic systemsHamiltonian symmetrysymplectic Lanczos process
Related Items (7)
A Krylov-Schur approach to the truncated SVD ⋮ Optimization on the symplectic Stiefel manifold: SR decomposition-based retraction and applications ⋮ Symplectic eigenvalues of positive-semidefinite matrices and the trace minimization theorem ⋮ A Hamiltonian Krylov-Schur-type method based on the symplectic Lanczos process ⋮ Restarted Q-Arnoldi-type methods exploiting symmetry in quadratic eigenvalue problems ⋮ A Rational Even-IRA Algorithm for the Solution of $T$-Even Polynomial Eigenvalue Problems ⋮ Computing Symplectic Eigenpairs of Symmetric Positive-Definite Matrices via Trace Minimization and Riemannian Optimization
Uses Software
This page was built for publication: Solving large-scale quadratic eigenvalue problems with Hamiltonian eigenstructure using a structure-preserving Krylov subspace method
