Composing Two Different Nonlinear FETI–DP Methods

  • Conference paper
  • First Online:
Domain Decomposition Methods in Science and Engineering XXVII (DD 2022)

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 149))

Included in the following conference series:

  • 154 Accesses

Abstract

Nonlinear FETI–DP methods [3] are nonlinear generalizations of linear FETI–DP domain decomposition methods [10].

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 143.50
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
GBP 179.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** 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.

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stephan Kohler .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kohler, S., Rheinbach, O. (2024). Composing Two Different Nonlinear FETI–DP Methods. In: Dostál, Z., et al. Domain Decomposition Methods in Science and Engineering XXVII. DD 2022. Lecture Notes in Computational Science and Engineering, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-50769-4_57

Download citation

Publish with us

Policies and ethics

Navigation