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Optimization and Control for Partial Differential Equations, 


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Название:  Optimization and Control for Partial Differential Equations
ISBN: 9783110695960
Издательство: Walter de Gruyter
Издательство: de Gruyter
Классификация:

ISBN-10: 3110695960
Обложка/Формат: Hardback
Страницы: 474
Вес: 0.95 кг.
Дата издания: 21.03.2022
Серия: Radon series on computational and applied mathematics
Язык: English
Иллюстрации: 38 illustrations, black and white; 48 illustrations, color
Размер: 175 x 246 x 16
Читательская аудитория: Professional and scholarly
Ключевые слова: Applied mathematics, MATHEMATICS / Applied
Подзаголовок: Uncertainty quantification, open and closed-loop control, and shape optimization
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Поставляется из: США
Описание:

This book highlights new developments in the wide and growing field of partial differential equations (PDE)-constrained optimization. Optimization problems where the dynamics evolve according to a system of PDEs arise in science, engineering, and economic applications and they can take the form of inverse problems, optimal control problems or optimal design problems. This book covers new theoretical, computational as well as implementation aspects for PDE-constrained optimization problems under uncertainty, in shape optimization, and in feedback control, and it illustrates the new developments on representative problems from a variety of applications.




Applied and Numerical Partial Differential Equations

Автор: W. Fitzgibbon; Y.A. Kuznetsov; Pekka Neittaanm?ki;
Название: Applied and Numerical Partial Differential Equations
ISBN: 904813238X ISBN-13(EAN): 9789048132386
Издательство: Springer
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Цена: 19591.00 р.
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Описание: Standing at the intersection of mathematics and scientific computing, this collection of state-of-the-art papers in nonlinear PDEs examines their applications to subjects as diverse as dynamical systems, computational mechanics, and the mathematics of finance.

Stochastic Partial Differential Equations and Their Applications

Автор: Boris L. Rozovskii; Richard B. Sowers
Название: Stochastic Partial Differential Equations and Their Applications
ISBN: 3540552928 ISBN-13(EAN): 9783540552925
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The main topics for discussion at the confe-rence were: non-linear SPDE`s and Markov property for randomfields, modern stochastic calculuses, numerical and asympto-tic methods for SPDE`s, applications of SPDE`s with emphasisonnon-linear filtering, stochastic control and statisticalfluid dynamics.

Symmetries and Overdetermined Systems of Partial Differential Equations

Автор: Michael Eastwood; Willard Miller
Название: Symmetries and Overdetermined Systems of Partial Differential Equations
ISBN: 1441925333 ISBN-13(EAN): 9781441925336
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This three-week summer program considered the symmetries preserving various natural geometric structures. The articles in the first part are expository but all contain significant new material. All articles were thoroughly refereed and the range of interrelated work ensures that this will be an extremely useful collection.

Partial Differential Equations

Автор: Jost Jurgen
Название: Partial Differential Equations
ISBN: 1461448085 ISBN-13(EAN): 9781461448082
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This extensively revised and updated new edition of a core text on partial differential equations features clear and systematic discussion of the relations between different types of PDEs. It covers new Hamack-type techniques, Schauder estimates, and more.

Fractional Partial Differential Equations And Their Numerical Solutions

Автор: Guo Boling Et Al
Название: Fractional Partial Differential Equations And Their Numerical Solutions
ISBN: 9814667048 ISBN-13(EAN): 9789814667043
Издательство: World Scientific Publishing
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Цена: 17424.00 р.
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Описание:

This book aims to introduce some new trends and results on the study of the fractional differential equations, and to provide a good understanding of this field to beginners who are interested in this field, which is the authors' beautiful hope.

This book describes theoretical and numerical aspects of the fractional partial differential equations, including the authors' researches in this field, such as the fractional Nonlinear SchrOdinger equations, fractional Landau-Lifshitz equations and fractional Ginzburg-Landau equations. It also covers enough fundamental knowledge on the fractional derivatives and fractional integrals, and enough background of the fractional PDEs.

Stochastic differential equations in infinite dimensions

Автор: Gawarecki, Leszek Mandrekar, Vidyadhar
Название: Stochastic differential equations in infinite dimensions
ISBN: 3642266347 ISBN-13(EAN): 9783642266348
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This volume offers comprehensive coverage of modern techniques used for solving problems in infinite dimensional stochastic differential equations. It presents major methods, including compactness, coercivity, monotonicity, in different set-ups.

Frontiers in PDE-Constrained Optimization

Автор: Antil
Название: Frontiers in PDE-Constrained Optimization
ISBN: 149398635X ISBN-13(EAN): 9781493986354
Издательство: Springer
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Цена: 15372.00 р.
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Описание: 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.

Relaxation in Optimization Theory and Variational Calculus

Автор: Tomas Roubicek
Название: Relaxation in Optimization Theory and Variational Calculus
ISBN: 3110589621 ISBN-13(EAN): 9783110589627
Издательство: Walter de Gruyter
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Цена: 22491.00 р.
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Описание:

The series is devoted to the publication of high-level monographs which cover the whole spectrum of current nonlinear analysis and applications in various fields, such as optimization, control theory, systems theory, mechanics, engineering, and other sciences. One of its main objectives is to make available to the professional community expositions of results and foundations of methods that play an important role in both the theory and applications of nonlinear analysis. Contributions which are on the borderline of nonlinear analysis and related fields and which stimulate further research at the crossroads of these areas are particularly welcome.

Editor-in-Chief
Jurgen Appell, Wurzburg, Germany

Honorary and Advisory Editors
Catherine Bandle, Basel, Switzerland
Alain Bensoussan, Richardson, Texas, USA
Avner Friedman, Columbus, Ohio, USA
Umberto Mosco, Worcester, Massachusetts, USA

Editorial Board
Manuel del Pino, Bath, UK, and Santiago, Chile
Mikio Kato, Nagano, Japan
Wojciech Kryszewski, Torun, Poland
Vicentiu D. Radulescu, Krakow, Poland
Simeon Reich, Haifa, Israel

Please submit book proposals to Jurgen Appell.

Titles in planning include
Ireneo Peral Alonso and Fernando Soria, Elliptic and Parabolic Equations Involving the Hardy–Leray Potential (2020)
Cyril Tintarev, Profile Decompositions and Cocompactness: Functional-Analytic Theory of Concentration Compactness (2020)
Takashi Suzuki, Semilinear Elliptic Equations: Classical and Modern Theories (2021)

Partial Differential Equation Methods for Image Inpainting

Автор: Schоnlieb
Название: Partial Differential Equation Methods for Image Inpainting
ISBN: 1107001005 ISBN-13(EAN): 9781107001008
Издательство: Cambridge Academ
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Цена: 12195.00 р.
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Описание: This book is concerned with digital image processing techniques that use partial differential equations (PDEs) for the task of image 'inpainting', an artistic term for virtual image restoration or interpolation, whereby missing or occluded parts in images are completed based on information provided by intact parts. Computer graphic designers, artists and photographers have long used manual inpainting to restore damaged paintings or manipulate photographs. Today, mathematicians apply powerful methods based on PDEs to automate this task. This book introduces the mathematical concept of PDEs for virtual image restoration. It gives the full picture, from the first modelling steps originating in Gestalt theory and arts restoration to the analysis of resulting PDE models, numerical realisation and real-world application. This broad approach also gives insight into functional analysis, variational calculus, optimisation and numerical analysis and will appeal to researchers and graduate students in mathematics with an interest in image processing and mathematical analysis.

Reduced Basis Methods for Partial Differential Equations

Название: Reduced Basis Methods for Partial Differential Equations
ISBN: 3319154303 ISBN-13(EAN): 9783319154305
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book provides a basic introduction to reduced basis (RB) methods for problems involving the repeated solution of partial differential equations (PDEs) arising from engineering and applied sciences, such as PDEs depending on several parameters and PDE-constrained optimization.

Elements of Partial Differential Equations

Автор: Pavel Drabek, Gabriela Holubova
Название: Elements of Partial Differential Equations
ISBN: 311031665X ISBN-13(EAN): 9783110316650
Издательство: Walter de Gruyter
Цена: 6499.00 р.
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Описание:

This textbook is an elementary introduction to the basic principles of partial differential equations. With many illustrationsitintroduces PDEs on an elementary level, enabling the reader to understand what partial differential equations are, where they come from and how they can be solved. The intention is that the reader understands the basic principles which are valid for particular types of PDEs, and to acquire some classical methods to solve them, thus the authors restrict their considerations to fundamental types of equations and basic methods. Only basic facts from calculus and linear ordinary differential equations of first and second order are needed as a prerequisite.

The book is addressed to students who intend to specialize in mathematics as well as to students of physics, engineering, and economics.

Stochastic PDEs and Dynamics

Автор: Boling Guo, Hongjun Gao, Xueke Pu
Название: Stochastic PDEs and Dynamics
ISBN: 3110495104 ISBN-13(EAN): 9783110495102
Издательство: Walter de Gruyter
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Цена: 18586.00 р.
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Описание: This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based on probability and stochastic process, the authors discuss stochastic integrals, Ito formula and Ornstein-Uhlenbeck processes, and introduce theoretical framework for random attractors. With rigorous mathematical deduction, the book is an essential reference to mathematicians and physicists in nonlinear science. Contents: PreliminariesThe stochastic integral and It formulaOU processes and SDEsRandom attractorsApplicationsBibliographyIndex


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