Skip to main content
Log in

Preconditioning waveform relaxation iterations for differential systems

  • Published:
BIT Numerical Mathematics Aims and scope Submit manuscript

Abstract

We discuss preconditioning and overlapping of waveform relaxation methods for sparse linear differential systems. It is demonstrated that these techniques significantly improve the speed of convergence of the waveform relaxation iterations resulting from application of various modes of block Gauss-Jacobi and block Gauss-Seidel methods to differential systems. Numerical results are presented for linear systems resulting from semi-discretization of the heat equation in one and two space variables. It turns out that overlapping is very effective for the system corresponding to the one-dimensional heat equation and preconditioning is very effective for the system corresponding to the two-dimensional case.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. A. Bellen and M. Zennaro,The use of Runge-Kutta formulae in waveform relaxation methods, Appl. Numer. Math., 11 (1993), pp. 95–114.

    Google Scholar 

  2. A. Bellen, Z. Jackiewicz and M. Zennaro,Contractivity of waveform relaxation Runge-Kutta iterations and related limit methods for dissipative systems in the maximum norm, SIAM J. Numer. Anal., 31 (1994), pp. 499–523.

    Google Scholar 

  3. K. Burrage,Parallel and Sequential Methods for Ordinary Differential Equations, Oxford University Press, Oxford, 1995.

    Google Scholar 

  4. K. Burrage, Z. Jackiewicz and R. Renaut,The performance of preconditioned waveform relaxation techniques for pseudospectral methods, to appear in Numerical Methods for Partial Differential Equations.

  5. P. E. Crouch and R. Grossman,Numerical integration of ordinary differential equations on manifolds, J. Nonlinear Science, 3 (1993), pp. 1–33.

    Google Scholar 

  6. A. Frommer and B. Pohl,A comparison result for multisplittings based on overlapping blocks and its application to waveform relaxation methods, Research Report No. 93-05, Seminar für Angewandte Mathematik, ETH, Zürich, Switzerland, 1993.

    Google Scholar 

  7. E. Gallopoulos and Y. Saad,On the parallel solution of parabolic equations. In Proc. ACM SIGARCH-89, 1989, pp. 17–28.

  8. Z. Jackiewicz and B. Owren,Convergence analysis of waveform relaxation methods using pseudospectra, Preprint Numerics No. 2/1995, Department of Mathematics, The University of Trondheim, Trondheim, Norway.

  9. R. Jeltsch and B. Pohl,Waveform relaxation with overlapping systems, Research Report No. 91-02, Seminar für Angewandte Mathematik, ETH, Zürich, Switzerland, 1991.

    Google Scholar 

  10. B. Leimkuhler,Estimating waveform relaxation convergence, SIAM J. Sci. Comput., 14 (1993), pp. 872–889.

    Google Scholar 

  11. B. Leimkuhler and A. Ruehli,Rapid convergence of waveform relaxation, Appl. Numer. Math., 11 (1993), pp. 211–224.

    Google Scholar 

  12. E. Lelarasmee,The waveform relaxation methods for the time domain analysis of large scale nonlinear dynamical systems. Ph.D. Thesis, University of California, Berkeley, California, 1982.

    Google Scholar 

  13. E. Lelarasmee, A. Ruehli and A. Sangiovanni-Vincentelli,The waveform relaxation method for time domain analysis of large scale integrated circuits, IEEE Trans. on CAD of IC and Syst., 1 (1982), pp. 131–145.

    Google Scholar 

  14. I. Lie and R. Skålin,Relaxation based integration by Runge-Kutta methods and its application to the moving finite element method, preprint.

  15. Ch. Lubich,Chebyshev acceleration of Picard-Lindelöf iteration, BIT, 32 (1991), pp. 535–538.

    Google Scholar 

  16. U. Miekkala and O. Nevanlinna,Convergence of dynamic iteration methods for initial value problems, SIAM J. Sci. Stat. Comput., 8 (1987), pp. 459–482.

    Google Scholar 

  17. U. Miekkala and O. Nevanlinna,Sets of convergence and stability regions, BIT, 27 (1987), pp. 557–584.

    Google Scholar 

  18. O. Nevanlinna,Remarks on Picard-Lindelöf iteration, Part I, BIT, 29 (1989), pp. 328–346.

    Google Scholar 

  19. O. Nevanlinna,Remarks on Picard-Lindelöf iteration, Part II, BIT, 29 (1989), pp. 535–562.

    Google Scholar 

  20. O. Nevanlinna,Linear acceleration of Picard-Lindelöf iteration, Numer. Math., 57 (1990), pp. 147–156.

    Google Scholar 

  21. R. B. Sidje,Parallel algorithms for large sparse exponentials. Ph.D. Thesis, INRIA, Rennes, France, 1994.

    Google Scholar 

  22. R. D. Skeel,Waveform iteration and the shifted Picard splitting, SIAM J. Sci. Stat. Comput., 10 (1989), pp. 756–776.

    Google Scholar 

  23. R. E. Spilling,Dynamic iteration and the pseudospectral method, Student Report, Division of Mathematical Sciences, Norwegian Institute of Technology, Trondheim, Norway, 1993.

    Google Scholar 

  24. B. Pohl,On the convergence of the discretized multisplitting waveform relaxation algorithm, Appl. Numer. Math., 11 (1993), pp. 251–258.

    Google Scholar 

  25. S. Vandewalle,Parallel Multigrid Waveform Relaxation for Parabolic Problems, B.G. Teubner, Stuttgart, 1993.

    Google Scholar 

  26. J. K. White and A. Sangiovanni-Vincentelli,Relaxation Techniques for the Simulation of VLSI Circuits, Kluwer Academic Publishers, Boston, Dordrecht, Lancaster, 1987.

    Google Scholar 

  27. J. K. White, A. Sangiovanni-Vincentelli, F. Odeh and A. Ruehli,Waveform relaxation: Theory and practice, Trans. Soc. Computer Simulation, 2 (1985), pp. 95–133.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

The work of the second author was supported by the National Science Foundation under grant NSF DMS 92-08048.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Burrage, K., Jackiewicz, Z., Nørsett, S.P. et al. Preconditioning waveform relaxation iterations for differential systems. Bit Numer Math 36, 54–76 (1996). https://doi.org/10.1007/BF01740544

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01740544

Key words

Navigation