Theory Of Vector Optimization

Download Theory Of Vector Optimization full books in PDF, epub, and Kindle. Read online free Theory Of Vector Optimization ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Theory of Vector Optimization

Theory of Vector Optimization
Author :
Publisher : Springer Science & Business Media
Total Pages : 183
Release :
ISBN-10 : 9783642502804
ISBN-13 : 3642502806
Rating : 4/5 (806 Downloads)

Book Synopsis Theory of Vector Optimization by : Dinh The Luc

Download or read book Theory of Vector Optimization written by Dinh The Luc and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: These notes grew out of a series of lectures given by the author at the Univer sity of Budapest during 1985-1986. Additional results have been included which were obtained while the author was at the University of Erlangen-Niirnberg under a grant of the Alexander von Humboldt Foundation. Vector optimization has two main sources coming from economic equilibrium and welfare theories of Edgeworth (1881) and Pareto (1906) and from mathemat ical backgrounds of ordered spaces of Cantor (1897) and Hausdorff (1906). Later, game theory of Borel (1921) and von Neumann (1926) and production theory of Koopmans (1951) have also contributed to this area. However, only in the fifties, after the publication of Kuhn-Tucker's paper (1951) on the necessary and sufficient conditions for efficiency, and of Deubreu's paper (1954) on valuation equilibrium and Pareto optimum, has vector optimization been recognized as a mathematical discipline. The stretching development of this field began later in the seventies and eighties. Today there are a number of books on vector optimization. Most of them are concerned with the methodology and the applications. Few of them offer a systematic study of the theoretical aspects. The aim of these notes is to pro vide a unified background of vector optimization,with the emphasis on nonconvex problems in infinite dimensional spaces ordered by convex cones. The notes are arranged into six chapters. The first chapter presents prelim inary material.


Theory of Vector Optimization Related Books

Theory of Vector Optimization
Language: en
Pages: 183
Authors: Dinh The Luc
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

These notes grew out of a series of lectures given by the author at the Univer sity of Budapest during 1985-1986. Additional results have been included which we
Vector Optimization
Language: en
Pages: 471
Authors: Johannes Jahn
Categories: Business & Economics
Type: BOOK - Published: 2013-06-05 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

In vector optimization one investigates optimal elements such as min imal, strongly minimal, properly minimal or weakly minimal elements of a nonempty subset of
Theory and Methods of Vector Optimization (Volume One)
Language: en
Pages: 195
Authors: Yu. K. Mashunin
Categories: Mathematics
Type: BOOK - Published: 2020-03-24 - Publisher: Cambridge Scholars Publishing

DOWNLOAD EBOOK

This first volume presents the theory and methods of solving vector optimization problems, using initial definitions that include axioms and the optimality prin
Vector Optimization with Infimum and Supremum
Language: en
Pages: 211
Authors: Andreas Löhne
Categories: Business & Economics
Type: BOOK - Published: 2011-05-25 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

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 infimu
Vector Optimization
Language: en
Pages: 324
Authors: Guang-ya Chen
Categories: Business & Economics
Type: BOOK - Published: 2005-07-13 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is devoted to vector or multiple criteria approaches in optimization. Topics covered include: vector optimization, vector variational inequalities, ve