dc.contributor.author | Haugen, Kjetil K. | |
dc.date.accessioned | 2023-03-14T14:26:28Z | |
dc.date.available | 2023-03-14T14:26:28Z | |
dc.date.created | 2017-12-28T09:33:10Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Mathematics for applications. 2017, 6 (2), 161-170. | en_US |
dc.identifier.issn | 1805-3610 | |
dc.identifier.uri | https://hdl.handle.net/11250/3058217 | |
dc.description.abstract | This article applies mathematical methods to investigating (extremely) simplified versions of the team selection problem for football managers. The team selection problem - obviously a game problem - is analysed game theoretically, but some funny results of a combinatorial nature are also added. In general, the findings indicate that the problem of selecting a football team is a very demanding task. Still, a simple comparison between win and profit maximising game models indicate surprising complexity in game prediction. | en_US |
dc.language.iso | eng | en_US |
dc.relation.uri | http://ma.fme.vutbr.cz/6_2.html | |
dc.title | Equilibrium team selection in football under win or profit maximisation | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 161-170 | en_US |
dc.source.volume | 6 | en_US |
dc.source.journal | Mathematics for applications | en_US |
dc.source.issue | 2 | en_US |
dc.identifier.doi | 10.13164/ma.2017.11 | |
dc.identifier.cristin | 1532315 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |