Details
Recent Trends in Computational Engineering - CE2014
Optimization, Uncertainty, Parallel Algorithms, Coupled and Complex ProblemsLecture Notes in Computational Science and Engineering, Band 105
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53,49 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 12.10.2015 |
| ISBN/EAN: | 9783319229973 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>This book presents selected papers from the 3rd International Workshop on Computational Engineering held in Stuttgart from October 6 to 10, 2014, bringing together innovative contributions from related fields with computer science and mathematics as an important technical basis among others. The workshop discussed the state of the art and the further evolution of numerical techniques for simulation in engineering and science. We focus on current trends in numerical simulation in science and engineering, new requirements arising from rapidly increasing parallelism in computer architectures, and novel mathematical approaches. Accordingly, the chapters of the book particularly focus on parallel algorithms and performance optimization, coupled systems, and complex applications and optimization.</p>
<p>Preface.- Part I: Parallel Algorithms und Performance Optimization.- Part II: Coupled Systems.- Part III: Complex Systems and Optimization.</p>
This book presents selected papers from the 3rd International Workshop on Computational Engineering held in Stuttgart from October 6 to 10, 2014, bringing together innovative contributions from related fields with computer science and mathematics as an important technical basis among others. The workshop discussed the state of the art and the further evolution of numerical techniques for simulation in engineering and science. We focus on current trends in numerical simulation in science and engineering, new requirements arising from rapidly increasing parallelism in computer architectures, and novel mathematical approaches. Accordingly, the chapters of the book particularly focus on parallel algorithms and performance optimization, coupled systems, and complex applications and optimization.<br><br>
Mixture of contributions from engineers, mathematicians, and computer scientists gives a truly interdisciplinary view of the state-of-the-art in computational engineering Variety of applications presented allows to detect common methodological challenges New and recently evolving fields such as uncertainty quantification are addressed in an application-oriented manner Includes supplementary material: sn.pub/extras
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