Frontiers in PDE-Constrained Optimization

Harbir Antil (Hrsg.), Drew P. Kouri (Hrsg.), Martin-D. Lacasse (Hrsg.), Denis Ridzal (Hrsg.)

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Springer New York img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Analysis

Beschreibung

This volume provides a broad and uniform introduction of PDE-constrained optimization as well as to document a number of interesting and challenging applications. Many science and engineering applications necessitate the solution of optimization problems constrained by physical laws that are described by systems of partial differential equations (PDEs)​. As a result, PDE-constrained optimization problems arise in a variety of disciplines including geophysics, earth and climate science, material science, chemical and mechanical engineering, medical imaging and physics.  

This volume is divided into two parts. The first part provides a comprehensive treatment of PDE-constrained optimization including discussions of problems constrained by PDEs with uncertain inputs and problems constrained by variational inequalities. Special emphasis is placed on algorithm development and numerical computation.  In addition, a comprehensive treatment of inverseproblems arising in the oil and gas industry is provided. The second part of this volume focuses on the application of PDE-constrained optimization, including problems in optimal control, optimal design, and inverse problems, among other topics.

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Schlagwörter

Optimal Transport and Seismic Imaging, Shape Optimization, Optimal Control of PDEs, PDE Constrained Optimization, Trust Region Methods, partial differential equations, Sparsity in Inverse Problems, Sequential Quadratic Programming, PDE Constrained Optimization in Oil Industry