<span>Advances in Time-Domain Computational Electromagnetic Methods</span><p><span>Discover state-of-the-art time domain electromagnetic modeling and simulation algorithms</span></p><p><span>Advances in Time-Domain Computational Electromagnetic Methods</span><span> delivers a thorough exploration of
Grid Infrastructure for Domain Decomposition Methods in Computational ElectroMagnetics
โ Scribed by Terzo, Olivier; Vipiana, Francesca
- Publisher
- Soha Maad (Ed.)
- Year
- 2012
- Tongue
- English
- Leaves
- 365
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This book contains proceedings from the Seventh International Conference on Domain Decomposition Methods, held at Pennsylvania State University in October 1993. The term 'domain decomposition' has for nearly a decade been associated with the partly iterative, partly direct algorithms explored in the
Domain decomposition methods are designed to allow the effective numerical solution of partial differential equations on parallel computer architectures. They comprise a relatively new field of study but have already found important applications in many branches of physics and engineering. In this b
The main goal of this book is to provide an overview of some of the most recent developments in the field of Domain Decomposition Methods. Domain decomposition relates to the construction of preconditioners for the large algebraic systems of equations which often arise in applications, by solving sm
<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