The study of shape optimization problems encompasses a wide spectrum of academic research with numerous applications to the real world. In this work these problems are treated from both the classical and modern perspectives and target a broad audience of graduate students in pure and applied mathematics, as well as engineers requiring a solid mathematical basis for the solution of practical problems. Driven by good examples and illustrations and requiring only a standard knowledge in the calculus of variations, differential equations, and functional analysis, the book can serve as a text for a graduate course in computational methods of optimal design and optimization, as well as an excellent reference for applied mathematicians addressing functional shape optimization problems.

Shape optimization problems are treated from the classical and modern perspectives Targets a broad audience of graduate students in pure and applied mathematics, as well as engineers requiring a solid mathematical basis for the solution of practical problems Requires only a standard knowledge in the calculus of variations, differential equations, and functional analysis Driven by several good examples and illustrations Poses some open questions

Inhalt
to Shape Optimization Theory and Some Classical Problems.- Optimization Problems over Classes of Convex Domains.- Optimal Control Problems: A General Scheme.- Shape Optimization Problems with Dirichlet Condition on the Free Boundary.- Existence of Classical Solutions.- Optimization Problems for Functions of Eigenvalues.- Shape Optimization Problems with Neumann Condition on the Free Boundary.