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Can I read Introduction to Shape Optimization: Shape Sensitivity Analysis (Springer Series in Computational Mathematics, 16) on EtoBox?

Introduction to Shape Optimization: Shape Sensitivity Analysis (Springer Series in Computational Mathematics, 16) by Jan Sokolowski, Jean-Paul Zolesio (auth.) is a nonfiction available to read on EtoBox.

What is Introduction to Shape Optimization: Shape Sensitivity Analysis (Springer Series in Computational Mathematics, 16) about?

This book is motivated largely by a desire to solve shape optimization prob lems that arise in applications, particularly in structural mechanics and in the optimal control of distributed parameter systems. Many such problems can be formulated as the minimization of functionals defined over a class of admissible domains. Shape optimization is quite indispensable in the design and construction of industrial structures. For example, aircraft and spacecraft have to satisfy, at the same time, very strict criteria on mechanical performance while weighing as little as possible. The shape optimization problem for such a structure consists in finding a geometry of the structure which minimizes a given functional (e. g. such as the weight of the structure) and yet simultaneously satisfies specific constraints (like thickness, strain energy, or displacement bounds). The geometry of the structure can be considered as a given domain in the three-dimensional Euclidean space. The domain is an open, bounded set whose topology is given, e. g. it may be simply or doubly connected. The boundary is smooth or piecewise smooth, so boundary value problems that are defined in the domain and associated wi

Who reads Introduction to Shape Optimization: Shape Sensitivity Analysis (Springer Series in Computational Mathematics, 16)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Jan Sokolowski, Jean-Paul Zolesio (auth.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
1992
Language
EN
ISBN
9780387541778
Category
nonfiction
Subjects
Engineering, Mathematics, Science

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