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Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems, Larisa Beilina; Michael Victor Klibanov


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Автор: Larisa Beilina; Michael Victor Klibanov
Название:  Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems
ISBN: 9781489995308
Издательство: Springer
Классификация:



ISBN-10: 1489995307
Обложка/Формат: Paperback
Страницы: 408
Вес: 0.59 кг.
Дата издания: 13.04.2014
Язык: English
Размер: 155 x 233 x 29
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The first of its kind, this volume presents convergent numerical methods for coefficient inverse problems for partial differential equations. Readers will find globally convergent methods that are synthesized with the Adaptive Finite Element technique (adaptivity for brevity).


Error Control and Adaptivity in Scientific Computing

Автор: Haydar Bulgak; Christoph Zenger
Название: Error Control and Adaptivity in Scientific Computing
ISBN: 0792358090 ISBN-13(EAN): 9780792358091
Издательство: Springer
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Цена: 18167.00 р.
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Описание: One of the ways we can understand complex process is to create computerized numerical simulation models of them. But modern simulation tools are not used only by experts, and reliability has become an important issue. This book covers many subjects in this field, focusing on error control.

The Universal Coefficient Theorem and Quantum Field Theory

Автор: Patrascu
Название: The Universal Coefficient Theorem and Quantum Field Theory
ISBN: 3319461427 ISBN-13(EAN): 9783319461427
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

This thesis describes a new connection between algebraic geometry, topology, number theory and quantum field theory. It offers a pedagogical introduction to algebraic topology, allowing readers to rapidly develop basic skills, and it also presents original ideas to inspire new research in the quest for dualities. Its ambitious goal is to construct a method based on the universal coefficient theorem for identifying new dualities connecting different domains of quantum field theory. This thesis opens a new area of research in the domain of non-perturbative physics—one in which the use of different coefficient structures in (co)homology may lead to previously unknown connections between different regimes of quantum field theories. The origin of dualities is an issue in fundamental physics that continues to puzzle the research community with unexpected results like the AdS/CFT duality or the ER-EPR conjecture. This thesis analyzes these observations from a novel and original point of view, mainly based on a fundamental connection between number theory and topology. Beyond its scientific qualities, it also offers a pedagogical introduction to advanced mathematics and its connection with physics. This makes it a valuable resource for students in mathematical physics and researchers wanting to gain insights into (co)homology theories with coefficients or the way in which Grothendieck's work may be connected with physics.
Theory of Approximate Functional Equations

Автор: Gordji, Madjid Eshaghi
Название: Theory of Approximate Functional Equations
ISBN: 0128039205 ISBN-13(EAN): 9780128039205
Издательство: Elsevier Science
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Цена: 8757.00 р.
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Описание:

Presently no other book deals with the stability problem of functional equations in Banach algebras, inner product spaces and amenable groups. Moreover, in most stability theorems for functional equations, the completeness of the target space of the unknown functions contained in the equation is assumed. Recently, the question, whether the stability of a functional equation implies this completeness, has been investigated by several authors.

In this book the authors investigate these developments in the theory of approximate functional equations.

Approximate dynamic programming

Автор: Powell, Warren Buckler
Название: Approximate dynamic programming
ISBN: 047060445X ISBN-13(EAN): 9780470604458
Издательство: Wiley
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Цена: 19158.00 р.
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Описание: Understanding approximate dynamic programming (ADP) in large industrial settings helps develop practical and high-quality solutions to problems that involve making decisions in the presence of uncertainty.

New Challenges in Grid Generation and Adaptivity for Scientific Computing

Автор: Simona Perotto; Luca Formaggia
Название: New Challenges in Grid Generation and Adaptivity for Scientific Computing
ISBN: 331906052X ISBN-13(EAN): 9783319060521
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This volume collects selected contributions from the "Fourth Tetrahedron Workshop on Grid Generation for Numerical Computations", which was held in Verbania, Italy in July 2013.

Error Control and Adaptivity in Scientific Computing

Автор: Haydar Bulgak; Christoph Zenger
Название: Error Control and Adaptivity in Scientific Computing
ISBN: 0792358082 ISBN-13(EAN): 9780792358084
Издательство: Springer
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Цена: 31305.00 р.
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Описание: One of the main ways by which we can understand complex processes is to create computerised numerical simulation models of them. This book covers topics such as error estimates and error control in numerical linear algebra algorithms (related to the concept of condition numbers), interval arithmetic and adaptivity for continuous models.

Adaptivity and Learning

Автор: Reimer K?hn; Randolf Menzel; Wolfram Menzel; Ulric
Название: Adaptivity and Learning
ISBN: 3540000917 ISBN-13(EAN): 9783540000914
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Adaptivity and learning have in recent decades become a common concern of scientific disciplines. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.

Structure of Approximate Solutions of Optimal Control Problems

Автор: Alexander J. Zaslavski
Название: Structure of Approximate Solutions of Optimal Control Problems
ISBN: 3319012398 ISBN-13(EAN): 9783319012391
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This title examines the structure of approximate solutions of optimal control problems considered on subintervals of a real line.


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