Frontiers in PDE-Constrained Optimization Frontiers in PDE-Constrained Optimization

Frontiers in PDE-Constrained Optimization

Harbir Antil والمزيد
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وصف الناشر

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. We place special emphasis on algorithm development and numerical computation.

The second part of this volume focuses on the application of PDE-constrained optimization including problems in optimal control, optimal design and inverse problems, which includes a comprehensive treatment of inverse problems arising in the oil and gas industry, among other topics.

النوع
علم وطبيعة
تاريخ النشر
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١٢ أكتوبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer New York
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Non-Smooth and Complementarity-Based Distributed Parameter Systems Non-Smooth and Complementarity-Based Distributed Parameter Systems
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Splitting Methods in Communication, Imaging, Science, and Engineering Splitting Methods in Communication, Imaging, Science, and Engineering
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Trends in PDE Constrained Optimization Trends in PDE Constrained Optimization
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Numerical Mathematics and Advanced Applications ENUMATH 2015 Numerical Mathematics and Advanced Applications ENUMATH 2015
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Numerical Methods for PDEs Numerical Methods for PDEs
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Partial Differential Equations Partial Differential Equations
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