<p><P>From the reviews of the first edition:</P><P></P><P>"This book unifies the results from a number of papers by the authors and their coworkers over the past two decades, and complements them by new insights and some background. The distinguishing feature of this book is a comprehensive and rigo
Domain Decomposition Methods โ Algorithms and Theory
โ Scribed by Andrea Toselli, Olof B. Widlund (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2005
- Tongue
- English
- Leaves
- 453
- Series
- Springer Series in Computational Mathematics 34
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Computational Mathematics and Numerical Analysis; Computational Science and Engineering; Processor Architectures; Software Engineering/Programming and Operating Systems; Mathematics of Computing
๐ SIMILAR VOLUMES
<p><P>From the reviews of the first edition:</P><P></P><P>"This book unifies the results from a number of papers by the authors and their coworkers over the past two decades, and complements them by new insights and some background. The distinguishing feature of this book is a comprehensive and rigo
<P>The scope of this text is to offer a comprehensive and self-sufficient presentation of some of the most successful and popular domain decomposition preconditioners for finite and spectral element approximations of partial differential equations. Strong emphasis is put both on their algorithmic an
<p><span>This book offers a comprehensive presentation of some of the most successful and popular domain decomposition preconditioners for finite and spectral element approximations of partial differential equations. It places strong emphasis on both algorithmic and mathematical aspects. It covers i
<P>Domain decomposition is an active research area concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models of natural and engineered systems. The present volume sets forth new contributions in areas of numerical anal