V-Invex Functions and Vector Optimization (Hardcover, 2008 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Optimization and Its Applications, 14
Release date:	October 2007
First published:	2008
Authors:	Shashi K. Mishra • Shouyang Wang • Kin Keung Lai
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Hardcover
Pages:	164
Edition:	2008 ed.
ISBN-13:	978-0-387-75445-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	0-387-75445-8
Barcode:	9780387754451

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