V-Invex Functions and Vector Optimization

Shashi K. Mishra

ISBN 10: 1441945288 / ISBN 13: 9781441945280

Verlag: Springer US, Springer US Nov 2010, 2010

Beschreibung

This item is printed on demand - Print on Demand Titel. Neuware -This volume summarizes and synthesizes an aspect of research work that has been done in the area of Generalized Convexity over the past few 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. The authors integrate related research into the book and demonstrate the wide context from which the area has grown and continues to grow.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.

Bestandsnummer des Verkäufers 9781441945280

Bibliografische Details

• Titel: V-Invex Functions and Vector Optimization
• Verlag: Springer US, Springer US Nov 2010
• Veröffentlichungsdatum: 2010
• Sprache: Englisch
• ISBN-10: 1441945288
• ISBN-13: 9781441945280
• Bindung: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

General Introduction.- V-Invexity in Nonlinear Multiobjective Programming.- Multiobjective Fractional Programming.- Multiobjective Nonsmooth Programming.- Composite Multiobjective Nonsmooth Programming.- Continuous-time Programming.

Von der hinteren Coverseite

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.