V-Invex Functions and Vector Optimization [electronic resource] /by Shashi Kant Mishra, Shouyang Wang, Kin Keung Lai.
by Mishra, Shashi Kant [author.]; Wang, Shouyang [author.]; Lai, Kin Keung [author.]; SpringerLink (Online service).
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BookSeries: Optimization and Its Applications: 14Publisher: Boston, MA : Springer US, 2008.Description: online resource.ISBN: 9780387754468.Subject(s): Mathematics | Mathematical optimization | Operations research | Technology | Mathematics | Optimization | Calculus of Variations and Optimal Control; Optimization | Operations Research/Decision Theory | Operations Research, Mathematical Programming | Technology Management | Mathematical Modeling and Industrial MathematicsDDC classification: 519.6 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA402.5-402.6 (Browse shelf) | Available |
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| Collaborative Therapeutic Neuropsychological Assessment | QA75.5-76.95 IP Networking over Next-Generation Satellite Systems | R-RZ Hypoxia and the Circulation | QA402.5-402.6 V-Invex Functions and Vector Optimization | QA402-402.37 Graphs, Dioids and Semirings | QA75.5-76.95 Trends in Computer Aided Innovation | QA75.5-76.95 Critical Infrastructure Protection |
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.
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