Code: 01662749
Topological Derivatives in Shape Optimization
by Antonio André Novotny, Jan Sokolowski
This book examines the theory and application of topological asymptotic analysis, which combines classical sensitivity analysis in shape optimization with asymptotic analysis by means of compound asymptotic expansions for elliptic ... more
- Language:
English - Binding: Paperback
- Number of pages: 324
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2012
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Book synopsis
This book examines the theory and application of topological asymptotic analysis, which combines classical sensitivity analysis in shape optimization with asymptotic analysis by means of compound asymptotic expansions for elliptic boundary value problems.
Book details
Book category Books in English Mathematics & science Mathematics Applied mathematics
225.90 €
- Full title: Topological Derivatives in Shape Optimization
- Subtitle: Machine Learning in Social Media
- Author: Antonio André Novotny, Jan Sokolowski
- Language: English
- Binding: Paperback
- Number of pages: 324
- EAN: 9783642352447
- ISBN: 3642352448
- ID: 01662749
- Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Weight: 664 g
- Dimensions: 235 × 155 × 21 mm
- Date of publishing: 14. December 2012
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