Overview
- Authors:
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Antonio André Novotny
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Coordenação de Métodos Matemáticos e Computacionais, Laboratório Nacional de Computação Científica LNCC/MCTIC, Petrópolis, Brazil
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Jan Sokołowski
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Institut Élie Cartan de Nancy, UMR 7502, Université de Lorraine, CNRS, Vandœuvre-Lès-Nancy, France
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Antoni Żochowski
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Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
- Presents new results and applications of the topological derivative method in control theory, topology optimization, and inverse problems
- Introduces the theory of singularly perturbed geometrical domains using selected examples
- Describes the first order topology design algorithm with its applications in topology optimization
- Shares the second order Newton-type reconstruction algorithm of based on higher order topological derivatives for solving inverse reconstruction problems
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Table of contents (11 chapters)
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 1-12
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 13-39
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 41-50
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 51-60
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 61-84
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 85-107
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 109-128
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 129-148
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 149-164
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 165-181
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- Antonio André Novotny, Jan Sokołowski, Antoni Żochowski
Pages 183-200
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Back Matter
Pages 201-212
About this book
The book presents new results and applications of the topological derivative method in control theory, topology optimization and inverse problems. It also introduces the theory in singularly perturbed geometrical domains using selected examples. Recognized as a robust numerical technique in engineering applications, such as topology optimization, inverse problems, imaging processing, multi-scale material design and mechanical modeling including damage and fracture evolution phenomena, the topological derivative method is based on the asymptotic approximations of solutions to elliptic boundary value problems combined with mathematical programming tools. The book presents the first order topology design algorithm and its applications in topology optimization, and introduces the second order Newton-type reconstruction algorithm based on higher order topological derivatives for solving inverse reconstruction problems. It is intended for researchers and students in applied mathematics and computational mechanics interested in the mathematical aspects of the topological derivative method as well as its applications in computational mechanics.
Reviews
“The book is well written, and the examples treated are carefully motivated. The references are up-to-date. The material presented in the book requires good mathematical background, so that the book could be used, as usefull reference, for researchers and graduate students that are working in the optimization theory.”(Teodor Atanacković, zbMATH 1460.74001, 2021)
“The book under review provides an excellent overview of historical and current developments in the field and, at the same time, is a very good introduction to readers familiar with linear elliptic equations and variational inequalities. … In all chapters, a thorough literature discussion is provided along with a detailed discussion of open problems.” (Guenter Leugering, Mathematical Reviews, October, 2019)
Authors and Affiliations
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Coordenação de Métodos Matemáticos e Computacionais, Laboratório Nacional de Computação Científica LNCC/MCTIC, Petrópolis, Brazil
Antonio André Novotny
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Institut Élie Cartan de Nancy, UMR 7502, Université de Lorraine, CNRS, Vandœuvre-Lès-Nancy, France
Jan Sokołowski
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Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Antoni Żochowski