Skip to main content

The convergence behaviour of preconditioned CG and CG-S in the presence of rounding errors

  • Submitted Papers
  • Conference paper
  • First Online:
Preconditioned Conjugate Gradient Methods

Part of the book series: Lecture Notes in Mathematics ((LNM,volume 1457))

Abstract

Incomplete Choleski decompositions and modified versions thereof are quite effective preconditioners for the conjugate gradients method. It is explained why Modified Incomplete Choleski may lead to more iteration steps, in some cases, whereas it should theoretically be more effective than standard Incomplete Choleski. It is also shown, by carefully analyzing a numerical example, why the convergence behaviour of Conjugate Gradients-Squared can be, sometimes unacceptable, irregular.

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 29.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 39.99
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. Ashcraft, C., Grimes, R., On vectorizing incomplete factorizations and SSOR preconditioners, SIAM J.Sci.Statist.Comput., 9, 122–151, 1988

    Article  MathSciNet  MATH  Google Scholar 

  2. Axelsson, O., Solution of linear systems of equations: iterative metods, in Barker, V.A. (ed.), Sparse Matrix Techniques, Copenhagen, August 9–12, 1976, Lecture Notes in Mathematics 572, Springer Verlag, Berlin, 1977

    Chapter  Google Scholar 

  3. Axelsson, O., Lindskog, G., On the eigenvalue distribution of a class of preconditioning methods, Numer.Math., 48, 479–498, 1986.

    Article  MathSciNet  MATH  Google Scholar 

  4. Concus, P., Golub, G.H., O'Leary, D.P., A generalized conjugate gradient method for the numerical solution of elliptic partial differential equations, in: Sparse Matrix Computations (J.R. Bunch and D.J. Rose, eds), pp.309–332, Academic Press, New York, 1976

    Google Scholar 

  5. Fletcher, R., Conjugate gradient methods for indefinite systems, Lecture Notes Math. 506, pp. 73–89, Springer-Verlag, Berlin, etc., 1976

    MATH  Google Scholar 

  6. Golub, G.H., Van Loan, C.F., Matrix Computations, North Oxford Academic, Oxford, 1983

    MATH  Google Scholar 

  7. Gustafsson, I., A class of 1:st order factorization methods, BIT, 18, 142–156, 1978

    Article  MathSciNet  MATH  Google Scholar 

  8. Hestenes, M., Stiefel, E., Methods of conjugate gradients for solving linear systems, J.Research NBS, 49, 409–436, 1952

    MathSciNet  MATH  Google Scholar 

  9. Kaasschieter, E.F., The solution of non-symmetric linear systems by bi-conjugate gradients or conjugate gradients squared, Delft University of Technology, Faculty of Mathematics and Informatics, Report 86-21, 1986

    Google Scholar 

  10. Meijerink, J.A., Van der Vorst, H.A., An iterative solution method for linear systems of which the coefficient matrix is a symmetric M-matrix, Math.of Comp., 31, 148–162, 1977

    MathSciNet  MATH  Google Scholar 

  11. Paige, C.C., The computation of Eigenvalues and Eigenvectors of Verg Large Sparse Matrices, Ph.D.thesis, Univ. of London, 1971

    Google Scholar 

  12. Parlett, B.N., The symmetric eigenvalue problem, Prentice Hall, Englewood Cliffs, 1980

    MATH  Google Scholar 

  13. Parlett, B.N., Misconvergence in the Lanczos algorithm, Department of Mathematics, Univ.of California at Berkeley, Report PAM-404, 1987

    Google Scholar 

  14. Sonneveld, P., CGS: a fast Lanczos-type solver for nonsymmetric linear systems, SIAM J.Sci.Statist.Comput., 10, 36–52, 1989

    Article  MathSciNet  MATH  Google Scholar 

  15. Van der Sluis, A., Van der Vorst, H.A., The rate of convergence of conjugate gradients, Numer.Math., 48, 543–560, 1986

    Article  MathSciNet  MATH  Google Scholar 

  16. Van der Sluis, A., Van der Vorst, H.A., The convergence behavior of Ritz values in the presence of close eigenvalues, Lin.Alg.& its Appl, 88/89, 651–694, 1987

    Article  MathSciNet  MATH  Google Scholar 

  17. Van der Vorst, H.A., Preconditioning by incomplete decompositions, Ph.D.Thesis, Univ. of Utrecht, 1982

    Google Scholar 

  18. Van der Vorst, H.A., High performance preconditioning, SIAM J.Sci. Statist. Comput., 10, 1174–1185, 1989

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Owe Axelsson Lily Yu. Kolotilina

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag

About this paper

Cite this paper

Van der Vorst, H.A. (1990). The convergence behaviour of preconditioned CG and CG-S in the presence of rounding errors. In: Axelsson, O., Kolotilina, L.Y. (eds) Preconditioned Conjugate Gradient Methods. Lecture Notes in Mathematics, vol 1457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0090905

Download citation

  • DOI: https://doi.org/10.1007/BFb0090905

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53515-7

  • Online ISBN: 978-3-540-46746-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics