Convexity and Well-Posed Problems, Roberto Lucchetti

Автор: Alexander M. Rubinov
Название: Abstract Convexity and Global Optimization
ISBN: 079236323X ISBN-13(EAN): 9780792363231
Издательство: Springer
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Описание: Consisting of two parts, this work presents the main notions of abstract convexity and their applications in the study of some classes of functions and sets. It examines both theoretical and numerical aspects of global optimization based on abstract convexity. It is of interest to specialists in global optimization, and mathematical programming.

Автор: Roberto Lucchetti; Julian Revalski
Название: Recent Developments in Well-Posed Variational Problems
ISBN: 0792335767 ISBN-13(EAN): 9780792335764
Издательство: Springer
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Описание: The increasing complexity of mathematical models, and the related need to introduce simplifying assumptions and numerical approximations, has led to the need to consider approximate solutions. This book is intended for researchers and graduate students studying variational problems, nonlinear analysis, optimization, and game theory.

Автор: Karim Adiprasito; Imre B?r?ny; Costin Vilcu
Название: Convexity and Discrete Geometry Including Graph Theory
ISBN: 3319281844 ISBN-13(EAN): 9783319281841
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume presents easy-to-understand yet surprising properties obtained using topological, geometric and graph theoretic tools in the areas covered by the Geometry Conference that took place in Mulhouse, France from September 7-11, 2014 in honour of Tudor Zamfirescu on the occasion of his 70th anniversary.

Автор: Nicolas Hadjisavvas; S?ndor Koml?si; Siegfried S.
Название: Handbook of Generalized Convexity and Generalized Monotonicity
ISBN: 0387232559 ISBN-13(EAN): 9780387232553
Издательство: Springer
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Цена: 37594.00 р.
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Автор: Shashi K. Mishra; Shouyang Wang; Kin Keung Lai
Название: Generalized Convexity and Vector Optimization
ISBN: 3642099300 ISBN-13(EAN): 9783642099304
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This book discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. It details the present state of knowledge on research done in this area.

Автор: Viorel Barbu; Teodor Precupanu
Название: Convexity and Optimization in Banach Spaces
ISBN: 9401782415 ISBN-13(EAN): 9789401782418
Издательство: Springer
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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.