Frontiers in PDE-Constrained Optimization

Harbir Antil

ISBN 10: 1493993496 / ISBN 13: 9781493993499

Edité par Springer New York, Springer New York, 2019

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This volume provides a broad and uniform introduction of PDE-constrained optimizationas 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 describedby 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.

N° de réf. du vendeur 9781493993499

Détails bibliographiques

• Titre: Frontiers in PDE-Constrained Optimization
• Éditeur: Springer New York, Springer New York
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 1493993496
• ISBN à 13 chiffres: 9781493993499
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 24 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 24 millimètres de profondeur
• Poids: 668 grammes

A propos de ce titre

Synopsis

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.