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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Recent Developments in Domain Decomposition Methods

Recent Developments in Domain Decomposition Methods

Pavarino, Luca F.
Toselli, Andrea

Paperback

Series: Lecture Notes in Computational Science and Engineering, Book 23

Medical ReferenceGeneral Mathematics

ISBN10: 3540434135
ISBN13: 9783540434139
Publisher: Springer Nature
Published: Jun 12 2002
Pages: 243
Weight: 0.83
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
This volume collects some of the papers presented at the Workshop on Do- main Decompositionheld at ETH, Zurich, on June 7-8th 2001. The Workshop was organized by Luca F. Pavarino (University of Milan), Christoph Schwab (ETH Zurich), Andrea Toselli (ETH Zurich), and OlofB. Widlund (Courant Institute of Mathematical Sciences). Our sponsors were the University of Milan, Department of Mathematics (MURST projects: Calcolo Scientifico: modelli e metodi numerici innovativi and Simmetrie, forme geometriche, evoluzione e memoria nelle equazioni alle derivate parziali), the Seminar for Applied Mathematics, ETH Zurich, and the Program on Computational Science and Engineering at ETH Zurich. The main goal ofthis meeting wasto provide a forum for the exchange of ideas on the most recent developmentsin the fieldof Domain Decomposition Methods. We broadly understand Domain Decomposition as relating to the construction of preconditioners for the large algebraic systems of equations which often arise in applications, by solving smaller instances of the same problem. In our planning, wealso wished to include studies of methods built from different discretizations in differentsubdomains such as in multi-physics models, mortar finite elements, wavelets, etc. Domain Decomposition meth- ods are now fairly well understood for elliptic scalar and vector problems and are employed for the solution of large scale problems in computational sciencesand engineering. However they remain less wellunderstood for more general problems, such as scattering problems, mixed problems, wavepropa- gation, and evolution problems.

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