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Variational Analysis and Generalized Differentiation II, Boris S. Mordukhovich


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Цена: 88500.00T
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Автор: Boris S. Mordukhovich
Название:  Variational Analysis and Generalized Differentiation II
ISBN: 9783642064838
Издательство: Springer
Классификация:


ISBN-10: 3642064833
Обложка/Формат: Paperback
Страницы: 612
Вес: 0.88 кг.
Дата издания: 2005
Серия: Die grundlehren der mathematischen wissenschaften
Язык: English
Иллюстрации: Biography
Размер: 234 x 156 x 33
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Comprehensive and state-of-the art study of the basic concepts and principles of variational analysis and generalized differentiation in both finite-dimensional and infinite-dimensional spaces Presents numerous applications to problems in the optimization, equilibria, stability and sensitivity, control theory, economics, mechanics, etc.

Variational Analysis and Generalized Differentiation in Optimization and Control

Автор: Regina S. Burachik; Jen-Chih Yao
Название: Variational Analysis and Generalized Differentiation in Optimization and Control
ISBN: 146142769X ISBN-13(EAN): 9781461427698
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents some 20 papers describing recent developments in advanced variational analysis, optimization, and control systems, especially those based on modern variational techniques and tools of generalized differentiation.

Variational Methods in Image Processing

Автор: Vese
Название: Variational Methods in Image Processing
ISBN: 1439849730 ISBN-13(EAN): 9781439849736
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание:

Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve the latest challenges introduced by new image acquisition devices.

The book addresses the most important problems in image processing along with other related problems and applications. Each chapter presents the problem, discusses its mathematical formulation as a minimization problem, analyzes its mathematical well-posedness, derives the associated Euler-Lagrange equations, describes the numerical approximations and algorithms, explains several numerical results, and includes a list of exercises. MATLAB(R) codes are available online.

Filled with tables, illustrations, and algorithms, this self-contained textbook is primarily for advanced undergraduate and graduate students in applied mathematics, scientific computing, medical imaging, computer vision, computer science, and engineering. It also offers a detailed overview of the relevant variational models for engineers, professionals from academia, and those in the image processing industry.


Variational Analysis and Aerospace Engineering

Автор: Aldo Frediani; Bijan Mohammadi; Olivier Pironneau;
Название: Variational Analysis and Aerospace Engineering
ISBN: 3319456792 ISBN-13(EAN): 9783319456799
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents papers surrounding the extensive discussions that took place from the ‘Variational Analysis and Aerospace Engineering’ workshop held at the Ettore Majorana Foundation and Centre for Scientific Culture in 2015. Contributions to this volume focus on advanced mathematical methods in aerospace engineering and industrial engineering such as computational fluid dynamics methods, optimization methods in aerodynamics, optimum controls, dynamic systems, the theory of structures, space missions, flight mechanics, control theory, algebraic geometry for CAD applications, and variational methods and applications. Advanced graduate students, researchers, and professionals in mathematics and engineering will find this volume useful as it illustrates current collaborative research projects in applied mathematics and aerospace engineering.


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