Vector Optimization and Monotone Operators via Convex Duality: Recent Advances - Image 1

£89.19

Springer Vector Optimization and Monotone Operators via Convex Duality: Recent Advances

Name: Vector Optimization and Monotone Operators via Convex Duality: Recent Advances
Brand: Springer
Price: 89.1 GBP
Availability: InStock

Decision Making

Price History & Forecast

Last 45 days • 45 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 45 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £89 (33 days, 73.3%)

Price range: £86 - £89

Price levels: 2 different prices over 45 days

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319361902
Category: Books > Subjects > Business, Finance & Law > Management > Management Skills > Decision Making
Domain: Amazon UK
Release Date: 23 August 2016
Listed Since: 10 August 2016

Barcode

No barcode data available

Springer Vector Optimization and Monotone Operators via Convex Duality: Recent Advances

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Generalized Convexity, Generalized Monotonicity: Recent Results: Recent Results: 27 (Nonconvex Optimization and Its Applications, 27)

Springer Convex and Stochastic Optimization (Universitext) Book

Duality in Optimization and Variational Inequalities (Optimization Theory and Applications)

Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization

Large-Scale Convex Optimization: Algorithms & Analyses via Monotone Operators

Recent Developments in Vector Optimization: 1

Principles of Dynamic Optimization (Springer Monographs in Mathematics)

Linear Programming: A Modern Integrated Analysis: 1 (International Series in Operations Research & Management Science, 1)

Handbook of Generalized Convexity and Generalized Monotonicity: 76 (Nonconvex Optimization and Its Applications, 76)

Convex Analysis and Nonlinear Optimization: Theory and Examples (CMS Books in Mathematics)

Introduction to the Theory of Nonlinear Optimization

Vector Variational Inequalities and Vector Equilibria: Mathematical Theories: 38 (Nonconvex Optimization and Its Applications, 38)

Vector Optimization with Infimum and Supremum

Convexity and Optimization in Banach Spaces (Springer Monographs in Mathematics)

Pseudolinear Functions and Optimization

Springer Foundations of Mathematical Optimization - Vol 388

Springer Duality Principles in Nonconvex Systems - Vol 39

Quadratic Programming and Affine Variational Inequalities: A Qualitative Study: 78 (Nonconvex Optimization and Its Applications, 78)

Optimization: Structure and Applications: 32 (Springer Optimization and Its Applications, 32)

Optimization Theory: A Concise Introduction

New Trends in Fractional Programming

Topological Aspects of Nonsmooth Optimization: 64 (Nonconvex Optimization and Its Applications, 64)

Convex Analysis and Beyond: Volume I: Basic Theory (Springer Series in Operations Research and Financial Engineering)

Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications: 65 (Nonconvex Optimization and Its Applications, 65)