Convex Optimization in Signal Processing and Communications, Palomar

Автор: Stephen Boyd
Название: Convex Optimization
ISBN: 0521833787 ISBN-13(EAN): 9780521833783
Издательство: Cambridge Academ
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Цена: 119670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of this book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.

Автор: Nesterov Y.
Название: Introductory Lectures on Convex Optimization / A Basic Course
ISBN: 1402075537 ISBN-13(EAN): 9781402075537
Издательство: Springer
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Цена: 121110.00 T
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Описание: This is the first elementary exposition of the main ideas of complexity theory for convex optimization. Up to now, most of the material can be found only in special journals and research monographs. The book covers optimal methods and lower complexity bounds for smooth and non-smooth convex optimization. A separate chapter is devoted to polynomial-time interior-point methods. Audience: The book is suitable for industrial engineers and economists.

Автор: Pallaschke D., Urbanski R.
Название: Pairs of Compact Convex Sets / Fractional Arithmetic with Convex Sets
ISBN: 1402009380 ISBN-13(EAN): 9781402009389
Издательство: Springer
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Цена: 102480.00 T
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Описание: Deals with the theory of pairs of compact convex sets. This book also talks about the problem of finding different types of minimal representants of a pair of nonempty compact convex subsets of a locally convex vector space in the sense of the Radstrom-Hormander Theory.

Автор: Viorel Barbu; Teodor Precupanu
Название: Convexity and Optimization in Banach Spaces
ISBN: 9401782415 ISBN-13(EAN): 9789401782418
Издательство: Springer
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Цена: 88500.00 T
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Описание: In a revised edition, this book presents basic results of the theory of convex sets and functions in infinite-dimensional spaces. Includes new results on advanced concepts of subdifferential for convex functions and new duality results in convex programming.