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  • Search: isPartOf:"Mathematical Methods of Operations Research"
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Year of publication
Subject
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Theorie 752 Theory 752 Mathematical programming 376 Mathematische Optimierung 374 Spieltheorie 154 Game theory 150 Stochastic process 122 Stochastischer Prozess 122 Markov chain 109 Portfolio selection 108 Markov-Kette 104 Portfolio-Management 104 Cooperative game 85 Kooperatives Spiel 78 Dynamic programming 70 Unternehmensforschung 63 Algorithm 60 Algorithmus 60 Queueing theory 56 Warteschlangentheorie 56 Entscheidung 53 Multi-criteria analysis 52 Multikriterielle Entscheidungsanalyse 52 Nash equilibrium 51 Dynamische Optimierung 50 Shapley value 48 Integer programming 45 Core 42 Nash-Gleichgewicht 40 Scheduling problem 40 Scheduling-Verfahren 39 Decision 38 Risiko 38 Risk 37 Programming 36 Shapley-Wert 36 Kontrolltheorie 35 Option pricing theory 34 Optionspreistheorie 34 Ganzzahlige Optimierung 33
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Online availability
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Undetermined 1,260 Free 132 CC license 1
Type of publication
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Article 3,758 Book / Working Paper 8
Type of publication (narrower categories)
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Article in journal 1,031 Aufsatz in Zeitschrift 1,031 Article 51 Collection of articles of several authors 6 Sammelwerk 6 Aufsatzsammlung 3 Festschrift 1 Systematic review 1 Übersichtsarbeit 1
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Language
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Undetermined 2,522 English 1,165 German 79
Author
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Borm, Peter 38 Tijs, Stef 34 Cavazos-Cadena, Rolando 28 Hernández-Lerma, Onésimo 25 Nowak, Andrzej S. 25 Bäuerle, Nicole 24 Brucker, Peter 19 Hordijk, Arie 19 Korn, Ralf 19 Altman, Eitan 18 Puerto, Justo 17 Wang, Kuo-Hsiung 17 Hamers, Herbert 16 Montes-de-Oca, Raúl 16 Nickel, Stefan 15 Perry, David 15 Wanka, Gert 15 Berman, Oded 14 Guo, Xianping 14 Ke, Jau-Chuan 14 Rieder, Ulrich 14 Weismantel, Robert 14 Bayraktar, Erhan 13 Fang, Shu-Cherng 13 Filar, Jerzy A. 13 Norde, Henk 13 Stadje, Wolfgang 13 Teneketzis, Demosthenis 13 Thielen, Clemens 13 Algaba, E. 12 Bergantiños, Gustavo 12 Fragnelli, Vito 12 Gordienko, Evgueni 12 Koch, Thorsten 12 Koster, Maurice 12 Woeginger, Gerhard J. 12 Bruneel, Herwig 11 Hendrickx, Ruud 11 Martin, Alexander 11 Sass, Jörn 11
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Institution
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DGOR-Arbeitsgruppe "Praxis der Linearen Optimierung (PRALINE)" 1
Published in...
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Mathematical methods of operations research 1,870 Mathematical Methods of Operations Research 1,056 Zeitschrift für Operations-Research : ZOR ; mathematical methods of operations research 633 Mathematical methods of operations research : ZOR 207
Source
All
ECONIS (ZBW) 1,522 OLC EcoSci 1,188 RePEc 1,005 EconStor 51
Showing 51 - 60 of 3,766
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Markov risk mappings and risk-sensitive optimal prediction
Kosmala, Tomasz; Martyr, Randall; Moriarty, John - In: Mathematical methods of operations research : ZOR 97 (2023) 1, pp. 91-116
Persistent link: https://www.econbiz.de/10014227386
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An axiomatic approach to Markov decision processes
Jonsson, Adam - In: Mathematical methods of operations research : ZOR 97 (2023) 1, pp. 117-133
Persistent link: https://www.econbiz.de/10014227387
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Using scalarizations for the approximation of multiobjective optimization problems: towards a general theory
Helfrich, Stephan; Herzel, Arne; Ruzika, Stefan; … - In: Mathematical Methods of Operations Research 100 (2023) 1, pp. 27-63
We study the approximation of general multiobjective optimization problems with the help of scalarizations. Existing results state that multiobjective minimization problems can be approximated well by norm-based scalarizations. However, for multiobjective maximization problems, only...
Persistent link: https://www.econbiz.de/10015188355
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A test instance generator for multiobjective mixed-integer optimization
Eichfelder, Gabriele; Gerlach, Tobias; Warnow, Leo - In: Mathematical Methods of Operations Research 100 (2023) 1, pp. 385-410
Application problems can often not be solved adequately by numerical algorithms as several difficulties might arise at the same time. When developing and improving algorithms which hopefully allow to handle those difficulties in the future, good test instances are required. These can then be...
Persistent link: https://www.econbiz.de/10015191615
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A hybrid patch decomposition approach to compute an enclosure for multi-objective mixed-integer convex optimization problems
Eichfelder, Gabriele; Warnow, Leo - In: Mathematical Methods of Operations Research 100 (2023) 1, pp. 291-320
In multi-objective mixed-integer convex optimization, multiple convex objective functions need to be optimized simultaneously while some of the variables are restricted to take integer values. In this paper, we present a new algorithm to compute an enclosure of the nondominated set of such...
Persistent link: https://www.econbiz.de/10015191675
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Approximating multiobjective optimization problems: How exact can you be?
Bazgan, Cristina; Herzel, Arne; Ruzika, Stefan; … - In: Mathematical Methods of Operations Research 100 (2023) 1, pp. 5-25
It is well known that, under very weak assumptions, multiobjective optimization problems admit (1+ε,⋯,1+ε)-approximation sets (also called ε-Pareto sets ) of polynomial cardinality (in the size of the instance and in 1ε). While an approximation guarantee of 1+εfor any ε0is the best one...
Persistent link: https://www.econbiz.de/10015331781
Saved in:
Cover Image
A test instance generator for multiobjective mixed-integer optimization
Eichfelder, Gabriele; Gerlach, Tobias; Warnow, Leo - In: Mathematical Methods of Operations Research 100 (2023) 1, pp. 385-410
Application problems can often not be solved adequately by numerical algorithms as several difficulties might arise at the same time. When developing and improving algorithms which hopefully allow to handle those difficulties in the future, good test instances are required. These can then be...
Persistent link: https://www.econbiz.de/10015400892
Saved in:
Cover Image
A hybrid patch decomposition approach to compute an enclosure for multi-objective mixed-integer convex optimization problems
Eichfelder, Gabriele; Warnow, Leo - In: Mathematical Methods of Operations Research 100 (2023) 1, pp. 291-320
In multi-objective mixed-integer convex optimization, multiple convex objective functions need to be optimized simultaneously while some of the variables are restricted to take integer values. In this paper, we present a new algorithm to compute an enclosure of the nondominated set of such...
Persistent link: https://www.econbiz.de/10015400916
Saved in:
Cover Image
Approximating multiobjective optimization problems: How exact can you be?
Bazgan, Cristina; Herzel, Arne; Ruzika, Stefan; … - In: Mathematical Methods of Operations Research 100 (2023) 1, pp. 5-25
It is well known that, under very weak assumptions, multiobjective optimization problems admit (1+ε,⋯,1+ε)-approximation sets (also called ε-Pareto sets ) of polynomial cardinality (in the size of the instance and in 1ε). While an approximation guarantee of 1+εfor any ε0is the best one...
Persistent link: https://www.econbiz.de/10015400929
Saved in:
Cover Image
Using scalarizations for the approximation of multiobjective optimization problems: towards a general theory
Helfrich, Stephan; Herzel, Arne; Ruzika, Stefan; … - In: Mathematical Methods of Operations Research 100 (2023) 1, pp. 27-63
We study the approximation of general multiobjective optimization problems with the help of scalarizations. Existing results state that multiobjective minimization problems can be approximated well by norm-based scalarizations. However, for multiobjective maximization problems, only...
Persistent link: https://www.econbiz.de/10015400935
Saved in:
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