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Duality in Vector Optimization

Duality in Vector Optimization
Author: Radu Ioan Bot
Publisher: Springer Science & Business Media
Total Pages: 408
Release: 2009-08-12
Genre: Mathematics
ISBN: 3642028861

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This book presents fundamentals and comprehensive results regarding duality for scalar, vector and set-valued optimization problems in a general setting. One chapter is exclusively consecrated to the scalar and vector Wolfe and Mond-Weir duality schemes.


Generalized Convexity and Vector Optimization

Generalized Convexity and Vector Optimization
Author: Shashi K. Mishra
Publisher: Springer Science & Business Media
Total Pages: 298
Release: 2008-12-19
Genre: Mathematics
ISBN: 3540856714

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The present lecture note is dedicated to the study of the optimality conditions and the duality results for nonlinear vector optimization problems, in ?nite and in?nite dimensions. The problems include are nonlinear vector optimization problems, s- metric dual problems, continuous-time vector optimization problems, relationships between vector optimization and variational inequality problems. Nonlinear vector optimization problems arise in several contexts such as in the building and interpretation of economic models; the study of various technolo- cal processes; the development of optimal choices in ?nance; management science; production processes; transportation problems and statistical decisions, etc. In preparing this lecture note a special effort has been made to obtain a se- contained treatment of the subjects; so we hope that this may be a suitable source for a beginner in this fast growing area of research, a semester graduate course in nonlinear programing, and a good reference book. This book may be useful to theoretical economists, engineers, and applied researchers involved in this area of active research. The lecture note is divided into eight chapters: Chapter 1 brie?y deals with the notion of nonlinear programing problems with basic notations and preliminaries. Chapter 2 deals with various concepts of convex sets, convex functions, invex set, invex functions, quasiinvex functions, pseudoinvex functions, type I and generalized type I functions, V-invex functions, and univex functions.


Optimality Conditions in Vector Optimization

Optimality Conditions in Vector Optimization
Author: Manuel Arana Jiménez
Publisher: Bentham Science Publishers
Total Pages: 194
Release: 2010
Genre: Mathematics
ISBN: 1608051102

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Vector optimization is continuously needed in several science fields, particularly in economy, business, engineering, physics and mathematics. The evolution of these fields depends, in part, on the improvements in vector optimization in mathematical programming. The aim of this Ebook is to present the latest developments in vector optimization. The contributions have been written by some of the most eminent researchers in this field of mathematical programming. The Ebook is considered essential for researchers and students in this field.


Vector Optimization with Infimum and Supremum

Vector Optimization with Infimum and Supremum
Author: Andreas Löhne
Publisher: Springer Science & Business Media
Total Pages: 211
Release: 2011-05-25
Genre: Business & Economics
ISBN: 3642183514

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The theory of Vector Optimization is developed by a systematic usage of infimum and supremum. In order to get existence and appropriate properties of the infimum, the image space of the vector optimization problem is embedded into a larger space, which is a subset of the power set, in fact, the space of self-infimal sets. Based on this idea we establish solution concepts, existence and duality results and algorithms for the linear case. The main advantage of this approach is the high degree of analogy to corresponding results of Scalar Optimization. The concepts and results are used to explain and to improve practically relevant algorithms for linear vector optimization problems.


Vector Optimization and Monotone Operators via Convex Duality

Vector Optimization and Monotone Operators via Convex Duality
Author: Sorin-Mihai Grad
Publisher: Springer
Total Pages: 282
Release: 2014-09-03
Genre: Business & Economics
ISBN: 3319089005

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This book investigates several duality approaches for vector optimization problems, while also comparing them. Special attention is paid to duality for linear vector optimization problems, for which a vector dual that avoids the shortcomings of the classical ones is proposed. Moreover, the book addresses different efficiency concepts for vector optimization problems. Among the problems that appear when the framework is generalized by considering set-valued functions, an increasing interest is generated by those involving monotone operators, especially now that new methods for approaching them by means of convex analysis have been developed. Following this path, the book provides several results on different properties of sums of monotone operators.


Set-valued Optimization

Set-valued Optimization
Author: Akhtar A. Khan
Publisher: Springer
Total Pages: 781
Release: 2014-10-20
Genre: Mathematics
ISBN: 3642542654

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Set-valued optimization is a vibrant and expanding branch of mathematics that deals with optimization problems where the objective map and/or the constraints maps are set-valued maps acting between certain spaces. Since set-valued maps subsumes single valued maps, set-valued optimization provides an important extension and unification of the scalar as well as the vector optimization problems. Therefore this relatively new discipline has justifiably attracted a great deal of attention in recent years. This book presents, in a unified framework, basic properties on ordering relations, solution concepts for set-valued optimization problems, a detailed description of convex set-valued maps, most recent developments in separation theorems, scalarization techniques, variational principles, tangent cones of first and higher order, sub-differential of set-valued maps, generalized derivatives of set-valued maps, sensitivity analysis, optimality conditions, duality and applications in economics among other things.


Duality in Optimization and Variational Inequalities

Duality in Optimization and Variational Inequalities
Author: C.j. Goh
Publisher: Taylor & Francis
Total Pages: 344
Release: 2002-05-10
Genre: Mathematics
ISBN: 9780415274791

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This comprehensive volume covers a wide range of duality topics ranging from simple ideas in network flows to complex issues in non-convex optimization and multicriteria problems. In addition, it examines duality in the context of variational inequalities and vector variational inequalities, as generalizations to optimization. Duality in Optimization and Variational Inequalities is intended for researchers and practitioners of optimization with the aim of enhancing their understanding of duality. It provides a wider appreciation of optimality conditions in various scenarios and under different assumptions. It will enable the reader to use duality to devise more effective computational methods, and to aid more meaningful interpretation of optimization and variational inequality problems.