Skip to main content

Operator Splittings and Numerical Methods

  • Conference paper
Large-Scale Scientific Computing (LSSC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3743))

Included in the following conference series:

  • 1856 Accesses

Abstract

The operator splitting method is a widely used technique which is frequently applied to the solution of complex problems. However, its application is not enough to the practical solution of the problems. The split sub-problems still require some numerical method. In this paper we give a unified investigation of the operator splitting and the numerical discretization. Moreover, we consider the interaction of the operator splitting method and the applied numerical methods to the solution of the different sub-processes. We show that many well-known fully-discretized numerical schemes to solving the Cauchy problems can be obtained in this manner. We investigate the convergence of these methods, too.

Supported by Hungarian National Research Founds (OTKA) under grant N. T043765 and NATO Collaborative Linkage Grant N. 980505.

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. Csomós, P., Faragó, I., Havasi, Á.: Weighted sequential splittings and their analysis. Comput. Math. Appl. 50, 1017–1031 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  2. Dekker, K., Verwer, J.G.: Stability of Runge-Kutta methods for stiff nonlinear differential equations. North-Holland, Amsterdam (1984)

    MATH  Google Scholar 

  3. Dimitriu, G.: Parameter identification in a two-dimensional parabolic equation using an ADI based solver. In: Margenov, S., Waśniewski, J., Yalamov, P. (eds.) LSSC 2001. LNCS, vol. 2179, pp. 479–486. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  4. Faragó, I.: Splitting methods for abstract Cauchy problems. In: Li, Z., Vulkov, L.G., Waśniewski, J. (eds.) NAA 2004. LNCS, vol. 3401, pp. 35–45. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Horváth, R.: Uniform Treatment of the Numerical Time-Integration of the Maxwell Equations. Lecture Notes in Computational Science and Engineering, pp. 231–239. Springer, Berlin (2003)

    Google Scholar 

  6. Hundsdorfer, W., Verwer, J.: Numerical solution of time-dependent advectiondiffusion- reaction equations. Springer, Berlin (2003)

    Google Scholar 

  7. Kellogg, R.B.: Another alternating-direction-implicit method. J. Soc. Indust. Appl. Math. 11, 976–979 (1963)

    Article  MathSciNet  Google Scholar 

  8. Marchuk, G.: Some applicatons of splitting-up methods to the solution of problems in mathematical physics. Aplikace Matematiky 1, 103–132 (1968)

    Google Scholar 

  9. Marchuk, G.: Splitting and alternating direction methods. North Holland, Amsterdam (1990)

    Google Scholar 

  10. Strang, G.: Accurate partial difference methods I: Linear Cauchy problems. Archive for Rational Mechanics and Analysis 12, 392–402 (1963)

    Article  MATH  MathSciNet  Google Scholar 

  11. Strang, G.: On the construction and comparison of difference schemes. SIAM J. Num. Anal. 5, 506–517 (1968)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Faragó, I. (2006). Operator Splittings and Numerical Methods. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2005. Lecture Notes in Computer Science, vol 3743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11666806_39

Download citation

  • DOI: https://doi.org/10.1007/11666806_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31994-8

  • Online ISBN: 978-3-540-31995-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics