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＜電子ブック＞
V-Invex Functions and Vector Optimization / by Shashi K. Mishra, Shouyang Wang, Kin Keung Lai
(Springer Optimization and Its Applications. ISSN:19316836 ; 14)

版	1st ed. 2008.
出版者	(New York, NY : Springer US : Imprint: Springer)
出版年	2008
本文言語	英語
大きさ	VIII, 164 p : online resource
著者標目	*Mishra, Shashi K author Wang, Shouyang author Lai, Kin Keung author SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Mathematics LCSH:Calculus of variations LCSH:Operations research LCSH:Management science LCSH:Technological innovations FREE:Optimization FREE:Applications of Mathematics FREE:Calculus of Variations and Optimization FREE:Operations Research and Decision Theory FREE:Operations Research, Management Science FREE:Innovation and Technology Management
一般注記	General Introduction -- V-Invexity in Nonlinear Multiobjective Programming -- Multiobjective Fractional Programming -- Multiobjective Nonsmooth Programming -- Composite Multiobjective Nonsmooth Programming -- Continuous-time Programming V-INVEX FUNCTIONS AND VECTOR OPTIMIZATION summarizes and synthesizes an aspect of research work that has been done in the area of Generalized Convexity over the past several decades. Specifically, the book focuses on V-invex functions in vector optimization that have grown out of the work of Jeyakumar and Mond in the 1990’s. V-invex functions are areas in which there has been much interest because it allows researchers and practitioners to address and provide better solutions to problems that are nonlinear, multi-objective, fractional, and continuous in nature. Hence, V-invex functions have permitted work on a whole new class of vector optimization applications. There has been considerable work on vector optimization by some highly distinguished researchers including Kuhn, Tucker, Geoffrion, Mangasarian, Von Neuman, Schaiible, Ziemba, etc. The authors have integrated this related research into their book and demonstrate the wide context from which the area has grown and continues to grow. The result is a well-synthesized, accessible, and usable treatment for students, researchers, and practitioners in the areas of OR, optimization, applied mathematics, engineering, and their work relating to a wide range of problems which include financial institutions, logistics, transportation, traffic management, etc HTTP:URL=https://doi.org/10.1007/978-0-387-75446-8

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