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Shapes and Geometries: Metrics, Analysis, Differential Calculus, and Optimization

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TLDR
Shapes and Geometries: Metrics, Analysis, Differential Calculus, and Optimization, Second Edition as mentioned in this paper provides a self-contained presentation of the mathematical foundations, constructions, and tools necessary for studying problems where the modeling, optimization, or control variable is the shape or the structure of a geometric object.
Abstract
This considerably enriched new edition provides a self-contained presentation of the mathematical foundations, constructions, and tools necessary for studying problems where the modeling, optimization, or control variable is the shape or the structure of a geometric object. Shapes and Geometries: Metrics, Analysis, Differential Calculus, and Optimization, Second Edition presents the latest ground-breaking theoretical foundation to shape optimization in a form that can be used by the engineering and scientific communities. It also clearly explains the state-of-the-art developments in a mathematical language that will attract mathematicians to open questions in this important field. A series of generic examples has been added to the introduction and special emphasis has been put on the construction of important metrics. Advanced engineers in various application areas use basic ideas of shape optimization, but often encounter difficulties due to the sophisticated mathematical foundations for the field. This new version of the book challenges these difficulties by showing how the mathematics community has made extraordinary progress in establishing a rational foundation for shape optimization. This area of research is very broad, rich, and fascinating from both theoretical and numerical standpoints. It is applicable in many different areas such as fluid mechanics, elasticity theory, modern theories of optimal design, free and moving boundary problems, shape and geometric identification, image processing, and design of endoprotheses in interventional cardiology. Audience: This book is intended for applied mathematicians and advanced engineers and scientists, but the book is also structured as an initiation to shape analysis and calculus techniques for a broader audience of mathematicians. Some chapters are self-contained and can be used as lecture notes for a minicourse. The material at the beginning of each chapter is accessible to a broad audience, while the subsequent sections may sometimes require more mathematical maturity. Contents: List of Figures; Preface; Chapter 1: Introduction: Examples, Background, and Perspectives; Chapter 2: Classical Descriptions of Geometries and Their Properties; Chapter 3: Courant Metrics on Images of a Set; Chapter 4: Transformations Generated by Velocities; Chapter 5: Metrics via Characteristic Functions; Chapter 6: Metrics via Distance Functions; Chapter 7: Metrics via Oriented Distance Functions; Chapter 8: Shape Continuity and Optimization; Chapter 9: Shape and Tangential Differential Calculuses; Chapter 10: Shape Gradients under a State Equation Constraint; Elements of Bibliography; Index of Notation; Index.

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Journal ArticleDOI

Overview of the Geometries of Shape Spaces and Diffeomorphism Groups

TL;DR: This article provides an overview of various notions of shape spaces, including the space of parametrized and unparametrizing curves, thespace of immersions, the diffeomorphism group and the spaceof Riemannian metrics.
Journal ArticleDOI

Evolutions equations in computational anatomy.

TL;DR: The required theoretical background is introduced before discussing several classes of equations of increasingly complexity, including energy minimizing evolutions deriving from Riemannian gradient descent, geodesics, parallel transport and Jacobi fields.
Journal ArticleDOI

Multi-phase structural optimization via a level set method ∗, ∗∗

TL;DR: It turns out that the optimization of a diffuse interface has its own interest in material science, for example to optimize functionally graded materials and various approaches based on Hadamard method of boundary variations are discussed.
Journal ArticleDOI

Shape optimization with a level set based mesh evolution method

TL;DR: An approach for geometry and topology optimization of structures which benefits from an accurate description of shapes at each stage of the iterative process - by means of a mesh amenable for mechanical analyses - while retaining the whole versatility of the level set method when it comes to accounting for their evolution.
Journal ArticleDOI

A new level-set based approach to shape and topology optimization under geometric uncertainty

TL;DR: In this paper, the geometric uncertainty is quantitatively modeled by combing level set equation with a random normal boundary velocity field characterized with a reduced set of random variables using the Karhunen-Loeve expansion.
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