Publisher: Springer 1 version (Oct 17, 2007) | ISBN: 0387754458 | Pages: 172 | PDF | 2.17 MB
V-INVEX Features AND VECTOR OPTIMIZATION summarizes and synthesizes an facet of analysis operate that has been carried out in the spot of Generalized Convexity more than the past many many years. Exclusively, the book focuses on V-invex capabilities in vector optimization that have grown out of the function of Jeyakumar and Mond in the 1990’s. V-invex features are places in which there has been significantly curiosity due to the fact it enables researchers and practitioners to tackle and offer better solutions to difficulties that are nonlinear, multi-aim, fractional, and ongoing in character. Hence, V-invex capabilities have permitted work on a total new class of vector optimization programs.
There has been significant work on vector optimization by some highly distinguished scientists such as Kuhn, Tucker, Geoffrion, Mangasarian, Von Neuman, Schaiible, Ziemba, etc. The authors have built-in this relevant study into their guide and display the extensive context from which the region has risen and proceeds to grow. The end result is a effectively-synthesized, available, and usable treatment method for students, scientists, and practitioners in the regions of OR, optimization, utilized arithmetic, engineering, and their work relating to a extensive range of troubles which incorporate financial establishments, logistics, transportation, traffic control, and so forth.
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