Vector Optimization and Monotone Operators via Convex Duality - Recent Advances (Paperback, Softcover reprint of the original 1st ed. 2015)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Vector Optimization

Release date

August 2016

Availability

Expected to ship within 10 - 15 working days

First published

2015

Authors

Dimensions

235 x 155 x 15mm (L x W x T)

Format

Paperback

Pages

269

Edition

Softcover reprint of the original 1st ed. 2015

ISBN-13

978-3-319-36190-1

Barcode

9783319361901

Categories

LSN

3-319-36190-2



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