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Duality for Nonconvex Approximation and Optimization, Ivan Singer


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Цена: 135090.00T
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Автор: Ivan Singer
Название:  Duality for Nonconvex Approximation and Optimization
ISBN: 9781441921031
Издательство: Springer
Классификация: ISBN-10: 1441921036
Обложка/Формат: Paperback
Страницы: 376
Вес: 0.53 кг.
Дата издания: 2006
Серия: CMS Books in Mathematics
Язык: English
Размер: 234 x 156 x 20
Читательская аудитория: Professionals
Ссылка на Издательство: Link
Поставляется из: Германии

Photonic Crystals : Mathematical Analysis And Numerical Approximation

Автор: Willy Do?rfler
Название: Photonic Crystals : Mathematical Analysis And Numerical Approximation
ISBN: 3034801122 ISBN-13(EAN): 9783034801126
Издательство: Springer
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Цена: 27940.00 T
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Описание: <p>This book concentrates on the mathematics of photonic crystals, which form an important class of physical structures investigated in nanotechnology. Photonic crystals are materials which are composed of two or more different dielectrics or metals, and which exhibit a spatially periodic structure, typically at the length scale of hundred nanometers.</p><p>In the mathematical analysis and the numerical simulation of the partial differential equations describing nanostructures, several mathematical difficulties arise, e. g., the appropriate treatment of nonlinearities, simultaneous occurrence of continuous and discrete spectrum, multiple scales in space and time, and the ill-posedness of these problems.</p><p>This volume collects a series of lectures which introduce into the mathematical background needed for the modeling and simulation of light, in particular in periodic media, and for its applications in optical devices.</p>

Approximation Theory and Approximation Practice

Автор: Trefethen
Название: Approximation Theory and Approximation Practice
ISBN: 1611972396 ISBN-13(EAN): 9781611972399
Издательство: Mare Nostrum (Eurospan)
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Цена: 55440.00 T
Наличие на складе: Невозможна поставка.
Описание: In a book that will appeal to beginners and experts alike, Oxford University’s Nick Trefethen presents approximation theory using a fresh approach for this established field.Approximation Theory and Approximation Practice is a textbook on classical polynomial and rational approximation theory for the twenty-first century. It uses MATLAB? to teach the field’s most important ideas and results and differs fundamentally from other works on approximation theory in a number of ways: its emphasis is on topics close to numerical algorithms; concepts are illustrated with Chebfun; and each chapter is a PUBLISHable Matlab M-file, available online.In addition, the book centers on theorems and methods for analytic functions, which appear so often in applications, rather than on functions at the edge of discontinuity with their seductive theoretical challenges. Original sources are cited rather than textbooks, and each item in the bibliography is accompanied by an editorial comment.Each chapter has a collection of exercises, which span a wide range from mathematical theory to Chebfun-based numerical experimentation.

Topics in Nonconvex Optimization

Автор: Shashi K. Mishra
Название: Topics in Nonconvex Optimization
ISBN: 1461428890 ISBN-13(EAN): 9781461428893
Издательство: Springer
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Цена: 130430.00 T
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Описание: This contributed volume consists of papers in the area of nonconvex optimization from researchers practicing in India. It aims to bring together new concepts, theoretical developments, and applications from these researchers.

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques

Автор: Chandra Chekuri; Klaus Jansen; Jos? D.P. Rolim; Lu
Название: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
ISBN: 3540282394 ISBN-13(EAN): 9783540282396
Издательство: Springer
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Цена: 93160.00 T
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Описание: Contains 41 reviewed papers, selected by the two program committees from a total of 101 submissions. Among the issues addressed are design and analysis of approximation algorithms, hardness of approximation, small space and data streaming algorithms, sub-linear time algorithms, embeddings and metric space methods, and more.

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques

Автор: Ashish Goel; Klaus Jansen; Jos? Rolim; Ronitt Rubi
Название: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
ISBN: 3540853626 ISBN-13(EAN): 9783540853626
Издательство: Springer
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Цена: 97820.00 T
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Описание: Constitutes the joint refereed proceedings of the 11th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2008 and the 12th International Workshop on Randomization and Computation, RANDOM 2008, held in Boston, MA, USA, in August 2008. This book reviews 20 revised papers of the APPROX 2008 workshop.

Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques

Автор: Irit Dinur; Klaus Jansen; Seffi Naor; Jos? Rolim
Название: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
ISBN: 3642036848 ISBN-13(EAN): 9783642036842
Издательство: Springer
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Цена: 121110.00 T
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Описание: 12th International Workshop APPROX 2009 and 13th International Workshop RANDOM 2009 Berkeley CA USA. .

Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques

Автор: Moses Charikar; Klaus Jansen; Omer Reingold; Jos?
Название: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
ISBN: 3540742077 ISBN-13(EAN): 9783540742074
Издательство: Springer
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Цена: 97820.00 T
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Описание: 10th International Workshop APPROX 2007 and 11th International Workshop RANDOM 2007 Princeton NJ US.

Conjugate Gradient Algorithms in Nonconvex Optimization

Автор: Radoslaw Pytlak
Название: Conjugate Gradient Algorithms in Nonconvex Optimization
ISBN: 3642099254 ISBN-13(EAN): 9783642099250
Издательство: Springer
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Цена: 181670.00 T
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Описание: This book details algorithms for large-scale unconstrained and bound constrained optimization. It shows optimization techniques from a conjugate gradient algorithm perspective as well as methods of shortest residuals, which have been developed by the author.


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