Vector Optimization and Monotone Operators via Convex Duality - Recent Advances (Hardcover, 2015 ed.)


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

September 2014

Availability

Expected to ship within 12 - 17 working days

First published

2015

Authors

Dimensions

235 x 155 x 18mm (L x W x T)

Format

Hardcover

Pages

269

Edition

2015 ed.

ISBN-13

978-3-319-08899-0

Barcode

9783319088990

Categories

LSN

3-319-08899-8



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