V-Invex Functions and Vector Optimization, Shashi K. Mishra; Shouyang Wang; Kin Keung Lai

Автор: Sundaram, Rangarajan K.
Название: A First Course in Optimization Theory
ISBN: 0521497701 ISBN-13(EAN): 9780521497701
Издательство: Cambridge Academ
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Цена: 45410.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.

Автор: V. Jeyakumar; Dinh The Luc
Название: Nonsmooth Vector Functions and Continuous Optimization
ISBN: 1441944729 ISBN-13(EAN): 9781441944726
Издательство: Springer
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Цена: 121110.00 T
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Описание: Focusing on the study of nonsmooth vector functions, this book presents a comprehensive account of the calculus of generalized Jacobian matrices and their applications to continuous nonsmooth optimization problems, as well as variational inequalities in finite dimensions.

Автор: Song
Название: Optimal Control and Optimization of Stochastic Supply Chain Systems
ISBN: 1447147235 ISBN-13(EAN): 9781447147237
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book demonstrates the structural characteristics of the optimal control policies in various stochastic supply chains and to shows how to make use of these characteristics to construct easy-to-operate sub-optimal policies.

Автор: Andreas L?hne
Название: Vector Optimization with Infimum and Supremum
ISBN: 3642268412 ISBN-13(EAN): 9783642268410
Издательство: Springer
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Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The theory of Vector Optimization is developed by a systematic usage of infimum and supremum. This book presents a completely new approach to the topic. It covers the range from theory to algorithms, and includes a self-contained chapter on the linear case.

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: 153720.00 T
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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.