Domain Decomposition Methods in Science and Engineering XX

These are the proceedings of the 20th international conference on domain decomposition methods in science and engineering. Domain decomposition methods are iterative methods for solving the often very large linearor nonlinear systems of algebraic equations that arise when various problems in continuum mechanics are discretized using finite elements. They are designed for massively parallel computers and take the memory hierarchy of such systems in mind. This is essential for approaching peak floating point performance. There is an increasingly well developed theory whichis having a direct impact on the development and improvements of these algorithms.

List of contents

Preface.- Part I: Plenary Presentations.- Part II: Minisymposia.- Part III: Contributed Presentations.

Summary

These are the proceedings of the 20th international conference on domain decomposition methods in science and engineering. Domain decomposition methods are iterative methods for solving the often very large linearor nonlinear systems of algebraic equations that arise when various problems in continuum mechanics are discretized using finite elements. They are designed for massively parallel computers and take the memory hierarchy of such systems in mind. This is essential for approaching peak floating point performance. There is an increasingly well developed theory whichis having a direct impact on the development and improvements of these algorithms.

Product details

• Assisted by: Randolph Bank (Editor), Randolph E. Bank (Editor), Michae Holst (Editor), Michael Holst (Editor), Olof Widlund (Editor), Olof B Widlund (Editor), Olof Widlund et al (Editor), Jinchao Xu (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2015
• EAN: 9783642429194
• ISBN: 978-3-642-42919-4
• No. of pages: 686
• Dimensions: 154 mm x 37 mm x 235 mm
• Weight: 1080 g
• Illustrations: XIX, 686 p.
• Series: Lecture Notes in Computational Science and Engineering; Lecture Notes in Computational Science and Engineering
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; C, Computer-Aided Design (CAD), Mathematics and Statistics, Computational Mathematics and Numerical Analysis, Computer mathematics, Partial Differential Equations, Differential calculus & equations, Differential equations, Computational Science and Engineering, Maths for scientists, Computer-Aided Engineering (CAD, CAE) and Design, Computer-aided engineering