| 書目名稱 | V-Invex Functions and Vector Optimization | | 編輯 | Shashi Kant Mishra,Shouyang Wang,Kin Keung Lai | | 視頻video | http://file.papertrans.cn/981/980004/980004.mp4 | | 概述 | The book is a well-synthesized, accessible, and usable treatment of the area for students, researchers and practitioners in OR, optimization, applied mathematics, and engineering, and their work relat | | 叢書名稱 | Springer Optimization and Its Applications | | 圖書封面 |  | | 描述 | .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 wo | | 出版日期 | Book 2008 | | 關(guān)鍵詞 | Duality; Generalized Concexity; Optimality; SOIA; V-invex Functions; Vector Optimization; optimization; pro | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-75446-8 | | isbn_softcover | 978-1-4419-4528-0 | | isbn_ebook | 978-0-387-75446-8Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | Springer-Verlag US 2008 |
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