The multiplicative weights update algorithm for mixed integer nonlinear programming: theory, applications, and limitations

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Veröffentlicht in:4OR Jg. 16; H. 3; S. 341 - 342
1. Verfasser: Mencarelli, Luca
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2018
Springer
Springer Nature B.V
Schlagworte:
Advisors
Algorithms
Business and Management
Game theory
Heuristic
Industrial and Production Engineering
Linear programming
Mixed integer
Nonlinear programming
Operations research
Operations Research/Decision Theory
Optimization
PhD Thesis
ISSN:1619-4500, 1614-2411
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Author Mencarelli, Luca
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BackLink http://www.econis.eu/PPNSET?PPN=1039866921$$DView this record in ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften
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Copyright Springer-Verlag GmbH Germany, part of Springer Nature 2018
4OR is a copyright of Springer, (2018). All Rights Reserved.
Copyright Springer Nature B.V. Sep 2018
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StartPage 341
SubjectTerms Advisors
Algorithms
Business and Management
Game theory
Heuristic
Industrial and Production Engineering
Linear programming
Mixed integer
Nonlinear programming
Operations research
Operations Research/Decision Theory
Optimization
PhD Thesis
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Title The multiplicative weights update algorithm for mixed integer nonlinear programming: theory, applications, and limitations
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