ICCS 2002: Computational Science — ICCS 2002 pp 295-304 | Cite as
A Comparison of Factorization-Free Eigensolvers with Application to Cavity Resonators
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Abstract
We investigate eigensolvers for the generalized eigenvalue problem Ax = λMx with symmetric A and symmetric positive definite M that do not require matrix factorizations. We compare various variants of Rayleigh quotient minimization and the Jacobi-Davidson algorithm by means large-scale finite element problems originating from the design of resonant cavities of particle accelerators.
Keywords
Eigenvalue Problem Conjugate Gradient Method Generalize Eigenvalue Problem Lanczos Algorithm Hierarchical Basis
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References
- 1.Grimes, R., Lewis, J.G., Simon, H.: A shifted block Lanczos algorithm for solving sparse symmetric generalized eigenproblems. SIAM J. Matrix Anal. Appl. 15 (1994) 228–272MATHCrossRefMathSciNetGoogle Scholar
- 2.Arbenz, P., Geus, R.: A comparison of solvers for large eigenvalue problems originating from Maxwell’s equations. Numer. Lin. Alg. Appl. 6 (1999) 3–16MATHCrossRefMathSciNetGoogle Scholar
- 3.Arbenz, P., Geus, R., Adam, S.: Solving Maxwell eigenvalue problems for accelerating cavities. Phys. Rev. ST Accel. Beams 4 (2001) 022001 (Electronic journal available from http://prst-ab.aps.org/).
- 4.Sleijpen, G.L.G., van der Vorst, H.A.: A Jacobi-Davidson iteration method for linear eigenvalue problems. SIAM J. Matrix Anal. Appl. 17 (1995) 401–425CrossRefGoogle Scholar
- 5.Lehoucq, R.B., Sorensen, D.C., Yang, C.: ARPACK Users’ Guide: Solution of Large-Scale Eigenvalue Problems by Implicitely Restarted Arnoldi Methods. SIAM, Philadelphia, PA (1998).Google Scholar
- 6.Longsine, D.E., McCormick, S.F.: Simultaneous Rayleigh—quotient minimization methods for Ax = λBx. Linear Algebra Appl. 34 (1980) 195–234MATHCrossRefMathSciNetGoogle Scholar
- 7.Knyazev, A.V.: Toward the optimal preconditioned eigensolver: Locally optimal block preconditioned conjugate gradient method. SIAM J. Sci. Comput. 23 (2001) 517–541MATHCrossRefMathSciNetGoogle Scholar
- 8.Kikuchi, F.: Mixed and penalty formulations for finite element analysis of an eigenvalue problem in electromagnetism. Comput. Methods Appl. Mech. Eng. 64 (1987) 509–521MATHCrossRefMathSciNetGoogle Scholar
- 9.Girault, V., Raviart, P.A.: Finite Element Methods for the Navier-Stokes Equations. Springer-Verlag, Berlin (1986) (Springer Series in Computational Mathematics, 5).MATHGoogle Scholar
- 10.Nédélec, J.C.: Mixed finite elements in ℝ3. Numer. Math. 35 (1980) 315–341MATHCrossRefMathSciNetGoogle Scholar
- 11.Silvester, P.P., Ferrari, R.L.: Finite Elements for Electrical Engineers. 3rd edn. Cambridge University Press, Cambridge (1996)Google Scholar
- 12.Arbenz, P., Drmač, Z.: On positive semidefinite matrices with known null space. Tech. Report 352, ETH Zürich, Computer Science Department (2000) (Available at URL http://www.inf.ethz.ch/publications/).
- 13.Fokkema, D.R., Sleijpen, G.L.G., van der Vorst, H.A.: Jacobi-Davidson style QR and QZ algorithms for the partial reduction of matrix pencils. SIAM J. Sci. Comput. 20 (1998) 94–125CrossRefMathSciNetGoogle Scholar
- 14.Geus, R.: The Jacobi-Davidson algorithm for solving large sparse symmetric eigenvalue problems. PhD thesis, Computer Science Department, ETH Zurich (2002)Google Scholar
- 15.Bank, R.E.: Hierarchical bases and the finite element method. Acta Numerica 5 (1996) 1–43MathSciNetCrossRefGoogle Scholar
- 16.Arbenz, P., Adam, S.: On solvinging Maxwellian eigenvalue problems for accelerating cavities (1998) Paper presented at the International Computational Accelerator Physics Conference (ICAP’98), Monterey CA, September 14–18, 1998. 5 pages. Available from http://www.inf.ethz.ch/~arbenz/ICAP98.ps.gz.
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