Filling a theatre in times of corona
In this paper, we introduce an optimization problem posed by the Music Building Eindhoven (MBE) to deal with the economical consequences of the COVID-19 pandemic for theatre halls. We propose a model for maximizing the number of guests in a theatre hall that respects social distancing rules, and is...
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creator | Blom, Danny Pendavingh, Rudi Spieksma, Frits C. R |
description | In this paper, we introduce an optimization problem posed by the Music
Building Eindhoven (MBE) to deal with the economical consequences of the
COVID-19 pandemic for theatre halls. We propose a model for maximizing the
number of guests in a theatre hall that respects social distancing rules, and
is based on trapezoid packings. Computational results show that up to 40% of
the normal capacity can be used for a single show setting, and up to 70% in
case artists opt for two consecutive performances per evening. |
doi_str_mv | 10.48550/arxiv.2010.01981 |
format | Article |
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Building Eindhoven (MBE) to deal with the economical consequences of the
COVID-19 pandemic for theatre halls. We propose a model for maximizing the
number of guests in a theatre hall that respects social distancing rules, and
is based on trapezoid packings. Computational results show that up to 40% of
the normal capacity can be used for a single show setting, and up to 70% in
case artists opt for two consecutive performances per evening.</description><identifier>DOI: 10.48550/arxiv.2010.01981</identifier><language>eng</language><subject>Computer Science - Artificial Intelligence ; Mathematics - Optimization and Control</subject><creationdate>2020-09</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2010.01981$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2010.01981$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Blom, Danny</creatorcontrib><creatorcontrib>Pendavingh, Rudi</creatorcontrib><creatorcontrib>Spieksma, Frits C. R</creatorcontrib><title>Filling a theatre in times of corona</title><description>In this paper, we introduce an optimization problem posed by the Music
Building Eindhoven (MBE) to deal with the economical consequences of the
COVID-19 pandemic for theatre halls. We propose a model for maximizing the
number of guests in a theatre hall that respects social distancing rules, and
is based on trapezoid packings. Computational results show that up to 40% of
the normal capacity can be used for a single show setting, and up to 70% in
case artists opt for two consecutive performances per evening.</description><subject>Computer Science - Artificial Intelligence</subject><subject>Mathematics - Optimization and Control</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzjsLwjAUhuEsDqL-ACczuFZzkpM2HUW8geDiXk7TRAO1lVhE_73X6YN3-HgYG4OYodFazCk-wn0mxTsIyA302XQd6jo0J068OzvqouOh4V24uBtvPbdtbBsasp6n-uZG_x2w43p1XG6T_WGzWy72CaUZJKW0WaoxE2mlQGg0QnkrvLUeQWGeSfSylEYDVkqaEhS4SlUIWnuLRLkasMnv9sssrjFcKD6LD7f4ctULGtQ35Q</recordid><startdate>20200930</startdate><enddate>20200930</enddate><creator>Blom, Danny</creator><creator>Pendavingh, Rudi</creator><creator>Spieksma, Frits C. R</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20200930</creationdate><title>Filling a theatre in times of corona</title><author>Blom, Danny ; Pendavingh, Rudi ; Spieksma, Frits C. R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a671-b2c7654706d31054803fc0fccf41349724f2b28514d328b131ed3d4155fc4aa93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Science - Artificial Intelligence</topic><topic>Mathematics - Optimization and Control</topic><toplevel>online_resources</toplevel><creatorcontrib>Blom, Danny</creatorcontrib><creatorcontrib>Pendavingh, Rudi</creatorcontrib><creatorcontrib>Spieksma, Frits C. R</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Blom, Danny</au><au>Pendavingh, Rudi</au><au>Spieksma, Frits C. R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Filling a theatre in times of corona</atitle><date>2020-09-30</date><risdate>2020</risdate><abstract>In this paper, we introduce an optimization problem posed by the Music
Building Eindhoven (MBE) to deal with the economical consequences of the
COVID-19 pandemic for theatre halls. We propose a model for maximizing the
number of guests in a theatre hall that respects social distancing rules, and
is based on trapezoid packings. Computational results show that up to 40% of
the normal capacity can be used for a single show setting, and up to 70% in
case artists opt for two consecutive performances per evening.</abstract><doi>10.48550/arxiv.2010.01981</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Artificial Intelligence Mathematics - Optimization and Control |
title | Filling a theatre in times of corona |
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