Skip to main content

Filtering Decompositions with Respect to Adaptive Test Vectors

  • Conference paper
Multigrid Methods V

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 3))

Abstract

The adaptive filtering decompositions are based on the tangential frequency filtering decompositions (TFFD). During the iteration with a preliminary preconditioner, the adaptive test vector method calculates new test vectors for additional TFFDs. The adaptive test vector iterative method allows the combination of the tangential frequency decomposition and other iterative methods such as multi-grid. The connection with the TFFD improves the robustness of these iterative methods with respect to varying coefficients. Realistic numerical experiments confirm the efficiency of the presented algorithms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. H. Brakhage, Über die numerische Behandlung von Integralgleichungen nach der Quaraturformelmethode, Numerische Mathematik 2, pp. 183–196, 1960.

    Google Scholar 

  2. R. P. Fedorenko, A relaxation method for solving elliptic difference equations, USSR Comput. Math, and Math. Phys. 1, 5, pp. 1092–1096, 1961.

    Google Scholar 

  3. W. Hackbusch AND U. Trottenberg, Multigrid methods, Proceedings Köln-Porz 1981, Springer-Verlag, Berlin, 1982.

    MATH  Google Scholar 

  4. W. Hackbusch, Multi-grid methods and applications, Springer-Verlag, Berlin, 1985.

    MATH  Google Scholar 

  5. P.W. Hemker and P. Wesseling, eds., Multigrid methods. Proceedings of the fourth European Multigrid Conference, INSM, Birkhäuser, Basel, 1994.

    Google Scholar 

  6. W. Kinzelbach, Numerische Methoden zur Modellierung des Transports von Schadstoffen im Grundwasser, Oldenbourg Verlag, München, 1992.

    Google Scholar 

  7. A. Reusken, Multigrid with matrix-dependent transfer operators for convection-diffusion problems, in [5], 1994.

    Google Scholar 

  8. M.J.L. Robin, A.L. Gutjahr, E. A. Sudicky AND J.L. Wilson, Cross-correlated random field generation with the direct Fourier transform method, Water Resources Research, Vol. 29, No. 7, pp. 2385–2397, 1993.

    Google Scholar 

  9. E. Stiefel, Über einige Methoden der Relaxationsrechnung, Z. Angew. Math. Phys. 3, pp. 1–33, 1952.

    Google Scholar 

  10. THE UG GROUP, ug — a flexible toolbox for the adaptive multigrid solution of partial differential equations, Stuttgart, 1995.

    Google Scholar 

  11. C. Wagner, W. Kinzelbach AND G.WITTUM, Schur-complement multgrid — a robust method for groundwater flow and transport problems, ICA-Preprint 95/1, Stuttgart, 1995; to be published in Numerische Mathematik, 1997.

    Google Scholar 

  12. C. Wagner, Frequenzfilternde Zerlegungen für unsymmetrische Matrizen und Matrizen mit stark variierenden Koeffizienten, Ph. D. thesis Universität Stuttgart, ICA-Bericht 95/7, Stuttgart, 1995.

    Google Scholar 

  13. C. Wagner, Tangential frequency filtering decompositions for symmetric matrices, ICA-Bericht 96/4, Stuttgart, 1996; to appear in Numerische Mathematik.

    Google Scholar 

  14. C. Wagner, Tangential frequency filtering decompositions for unsymmetric matrices, ICA-Bericht 96/5, Stuttgart, 1996; to appear in Numerische Mathematik.

    Google Scholar 

  15. C. Wagner AND G. Wittum, Adaptive Filtering, ICA-Bericht 96/8, Stuttgart, 1996; to appear in Numerische Mathematik.

    Google Scholar 

  16. G. Wittum, Filternde Zerlegungen — Schnelle Löser für große Gleichungssysteme. Teubner Skrioten zur Numerik Band 1. Teubner-Verlag. Stuttgart. 1992.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wagner, C., Wittum, G. (1998). Filtering Decompositions with Respect to Adaptive Test Vectors. In: Hackbusch, W., Wittum, G. (eds) Multigrid Methods V. Lecture Notes in Computational Science and Engineering, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58734-4_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-58734-4_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63133-0

  • Online ISBN: 978-3-642-58734-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics