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European Journal of Operational Research
Article . 2023 . Peer-reviewed
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Reductions of non-separable approximate linear programs for network revenue management

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Aug 2023Embargo end date: 01 Aug 2023 Switzerland, Switzerland English Publisher:Elsevier BVJournal:European Journal of Operational Research, volume 309, pages 252-270 (issn: 0377-2217, Copyright policy )
Authors: Laumer, Simon; Barz, Christiane;

doi: 10.1016/j.ejor.2023.01.006 , 10.5167/uzh-232018

Reductions of non-separable approximate linear programs for network revenue management

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Countries
Switzerland, Switzerland
Related Organizations
Keywords

Non, revenue management, Approximate dynamic programming, separability, Revenue management, 1803 Management Science and Operations Research, reductions, Network revenue management, Operations research and management science, non-separability, 330 Economics, 10004 Department of Business Administration, 1802 Information Systems and Management, network revenue management, 1700 General Computer Science, 2209 Industrial and Manufacturing Engineering, approximate dynamic programming, Reductions, 2611 Modeling and Simulation

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid