Authors:
Introduces most theories related to non-parametric shape optimization problems
Summarizes basic theories in the first six chapters, with Chap. 4 especially valuable for engineers
Devotes the three final chapters to shape and topology optimization problems after providing their abstract framework
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 164)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Keywords
- Non-parametric Shape Optimization Problem
- Variational Calculus / Functional Analysis
- Optimization Theory / Mathematical Programming
- Boundary Value Problem of Partial Differential Equation
- Numerical Analysis
- partial differential equations
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Authors and Affiliations
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Graduate School of Informatics, Nagoya University, Nagoya, Japan
Hideyuki Azegami
Bibliographic Information
Book Title: Shape Optimization Problems
Authors: Hideyuki Azegami
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-981-15-7618-8
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-7617-1Published: 01 October 2020
Softcover ISBN: 978-981-15-7620-1Published: 02 October 2021
eBook ISBN: 978-981-15-7618-8Published: 30 September 2020
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XXIII, 646
Number of Illustrations: 199 b/w illustrations, 3 illustrations in colour
Topics: Mathematical Physics, Functional Analysis, Numerical Analysis, Differential Equations, Mathematical Applications in Computer Science