Jocelyne Erhel; Martin J. Gander; Laurence Halpern; Géraldine Pichot; Taoufik Sassi; Olof Widlund Springer International Publishing AG (2014) Kovakantinen kirja
Jocelyne Erhel; Martin J. Gander; Laurence Halpern; Géraldine Pichot; Taoufik Sassi; Olof Widlund Springer International Publishing AG (2016) Pehmeäkantinen kirja
Ronald Haynes (ed.); Scott MacLachlan (ed.); Xiao-Chuan Cai (ed.); Laurence Halpern (ed.); Hyea Hyun Kim (ed.); Ax Klawonn Springer (2020) Kovakantinen kirja
Ronald Haynes (ed.); Scott MacLachlan (ed.); Xiao-Chuan Cai (ed.); Laurence Halpern (ed.); Hyea Hyun Kim (ed.); Ax Klawonn Springer (2021) Pehmeäkantinen kirja
This volume contains a selection of papers presented at the 21st international conference on domain decomposition methods in science and engineering held in Rennes, France, June 25-29, 2012. Domain decomposition is an active and interdisciplinary research discipline, focusing on the development, analysis and implementation of numerical methods for massively parallel computers. Domain decomposition methods are among the most efficient solvers for large scale applications in science and engineering. They are based on a solid theoretical foundation and shown to be scalable for many important applications. Domain decomposition techniques can also naturally take into account multiscale phenomena. This book contains the most recent results in this important field of research, both mathematically and algorithmically and allows the reader to get an overview of this exciting branch of numerical analysis and scientific computing.
