Skip to main content

Optimized Schwarz Method with Two-Sided Transmission Conditions in an Unsymmetric Domain Decomposition

  • Conference paper
Domain Decomposition Methods in Science and Engineering XXII

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 104))

Abstract

Domain decomposition (DD) methods are important techniques for designing parallel algorithms for solving partial differential equations. Since the decomposition is often performed using automatic mesh partitioning tools, one can in general not make any assumptions on the shape or physical size of the subdomains, especially if local mesh refinement is used. In many of the popular domain decomposition methods, neighboring subdomains are not using the same type of boundary conditions, e.g. the Dirichlet-Neumann methods invented by Bjørstad and Widlund [2], or the two-sided optimized Schwarz methods proposed in [3], and one has to decide which subdomain uses which boundary condition. A similar question also arises in mortar methods, see [1], where one has to decide on the master and slave side at the interfaces. In [4], it was found that for optimized Schwarz methods, the subdomain geometry and problem boundary conditions influence the optimized Robin parameters for symmetrical finite domain decompositions, and in [5], it was observed numerically that swapping the optimized two-sided Robin parameters can accelerate the convergence for a circular domain decomposition.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. C. Bernardi, Y. Maday, A.T. Patera, Domain decomposition by the mortar element method, in Asymptotic and Numerical Methods for Partial Differential Equations with Critical Parameters (Springer, New York, 1993), pp. 269–286

    Book  MATH  Google Scholar 

  2. P.E. Bjørstad, O.B. Widlund, Iterative methods for the solution of elliptic problems on regions partitioned into substructures. SIAM J. Numer. Anal. 23(6), 1097–1120 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  3. M.J. Gander, Optimized Schwarz methods. SIAM J. Numer. Anal. 44(2):699–731 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  4. M.J. Gander, On the influence of geometry on optimized Schwarz methods. SeMA J. 53(1), 71–78 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  5. M.J. Gander, Y. Xu, Optimized Schwarz methods for circular domain decompositions with overlap. SIAM J. Numer. Anal. 52(4), 1981–2004 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  6. Y. Xu, Optimized Schwarz methods with unsymmetric domain decomposition. SIAM J. Numer. Anal. (submitted, 2015)

    Google Scholar 

Download references

Acknowledgements

The author “Yingxiang Xu” was partly supported by NSFC-11201061, 11471047, 11271065, CPSF-2012M520657 and the Science and Technology Development Planning of Jilin Province 20140520058JH.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yingxiang Xu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Gander, M.J., Xu, Y. (2016). Optimized Schwarz Method with Two-Sided Transmission Conditions in an Unsymmetric Domain Decomposition. In: Dickopf, T., Gander, M., Halpern, L., Krause, R., Pavarino, L. (eds) Domain Decomposition Methods in Science and Engineering XXII. Lecture Notes in Computational Science and Engineering, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-319-18827-0_65

Download citation

Publish with us

Policies and ethics