Lecture Notes in Computational Science and Engineering

Domain Decomposition Methods in Science and Engineering XXV

Editors: Haynes, R., MacLachlan, S., Cai, X.-C., Halpern, L., Kim, H.H., Klawonn, A., Widlund, O. (Eds.)

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  • ISBN 978-3-030-56750-7
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About this book

These are the proceedings of the 25th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in St. John's, Newfoundland, Canada in July 2018. 

Domain decomposition methods are iterative methods for solving the often very large systems of equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are specifically designed to make effective use of massively parallel, high-performance computing systems.

The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2018.


Table of contents (57 chapters)

Table of contents (57 chapters)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-030-56750-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-030-56749-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Domain Decomposition Methods in Science and Engineering XXV
Editors
  • Ronald Haynes
  • Scott MacLachlan
  • Xiao-Chuan Cai
  • Laurence Halpern
  • Hyea Hyun Kim
  • Axel Klawonn
  • Olof Widlund
Series Title
Lecture Notes in Computational Science and Engineering
Series Volume
138
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-56750-7
DOI
10.1007/978-3-030-56750-7
Hardcover ISBN
978-3-030-56749-1
Series ISSN
1439-7358
Edition Number
1
Number of Pages
XXVI, 508
Topics