We present two iterative KAM methods for eigenvalue problems[ We discuss their convergence properties for matrices of \_nite dimension when a perturbation parameter e is varied[ We observe di}erent domains separated by Julia sets related to avoided crossings[ Γ 0887 Elsevier Science Ltd[ All rights
β¦ LIBER β¦
Deflation of eigenvalues for iterative methods in lattice QCD
β Scribed by Dean Darnell; Ronald B. Morgan; Walter Wilcox
- Book ID
- 104354803
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 288 KB
- Volume
- 129-130
- Category
- Article
- ISSN
- 0920-5632
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β¦ Synopsis
Work on generalizing
the deflated, restarted GMRES algorithm, useful in lattice studies using stochastic noise methods, is reported. We first show how the multi-mass extension of deflated GMRES can be implemented.
We then give a deflated GMRES method that can be used on multiple right-hand sides of Az = b in an efficient manner. We also discuss and give numerical results on the possibilty of combining deflated GMRES for the first right hand side with a deflated BiCGStab algorithm for the subsequent right hand sides.
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