Set Optimization and Applications - The State of the Art - From Set Relations to Set-Valued Risk Measures (Paperback, Softcover reprint of the original 1st ed. 2015)

This volume presents five surveys with extensive bibliographies and six original contributions on set optimization and its applications in mathematical finance and game theory. The topics range from more conventional approaches that look for minimal/maximal elements with respect to vector orders or set relations, to the new complete-lattice approach that comprises a coherent solution concept for set optimization problems, along with existence results, duality theorems, optimality conditions, variational inequalities and theoretical foundations for algorithms. Modern approaches to scalarization methods can be found as well as a fundamental contribution to conditional analysis. The theory is tailor-made for financial applications, in particular risk evaluation and [super-]hedging for market models with transaction costs, but it also provides a refreshing new perspective on vector optimization. There is no comparable volume on the market, making the book an invaluable resource for researchers working in vector optimization and multi-criteria decision-making, mathematical finance and economics as well as [set-valued] variational analysis.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Proceedings in Mathematics & Statistics, 151
Release date:	August 2016
First published:	2015
Editors:	Andreas H Hamel • Frank Heyde • Andreas Loehne • Birgit Rudloff • Carola Schrage
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	331
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-662-51139-8
Categories:	Books > Business & Economics > Finance & accounting > General Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Science & Mathematics > Mathematics > Optimization > General Promotions
LSN:	3-662-51139-8
Barcode:	9783662511398

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