A Truncated RQ Iteration for Large Scale Eigenvalue Calculations

DOI10.1137/S0895479896305398zbMath0918.65023OpenAlexW2072678725MaRDI QIDQ4210277

No author found.

Publication date: 21 September 1998

Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/s0895479896305398

zbMATH Keywords

comparison of methodseigenvaluesnumerical experimentsLanczos methodpreconditioningdeflationKrylov methodsrestartingimplicitly restarted Arnoldi algorithmJacobi-Davidson QR methodtruncated RQ iteration

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Numerical computation of matrix norms, conditioning, scaling (65F35)

Related Items (10)

A block Chebyshev-Davidson method with inner-outer restart for large eigenvalue problems ⋮ Normalized cuts revisited: a reformulation for segmentation with linear grouping constraints ⋮ A mathematical biography of Danny C. Sorensen ⋮ Inexact inverse subspace iteration for generalized eigenvalue problems ⋮ Alternative correction equations in the Jacobi-Davidson method ⋮ An integrated Davidson and multigrid solution approach for very large scale symmetric eigenvalue problems ⋮ Saving flops in LU based shift-and-invert strategy ⋮ The Jacobi-Davidson method ⋮ Unnamed Item ⋮ Preconditioning eigenvalues and some comparison of solvers

Uses Software

• QMRPACK
• SRRIT
• eigs
• JDQR
• ARPACK
• JDQZ

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