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<titleInfo><title>Massively winning configurations in the convex grabbing game on the plane</title></titleInfo>


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<name type="personal">
  <namePart type="given">Martin</namePart>
  <namePart type="family">Dvorak</namePart>
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<name type="personal">
  <namePart type="given">Sara</namePart>
  <namePart type="family">Nicholson</namePart>
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  <namePart>CCCG: Canadian Conference on Computational Geometry</namePart>
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<abstract lang="eng">The convex grabbing game is a game where two players, Alice and Bob, alternate taking extremal points from the convex hull of a point set on the plane. Rational weights are given to the points. The goal of each player is to maximize the total weight over all points that they obtain. We restrict the setting to the case of binary weights. We show a construction of an arbitrarily large odd-sized point set that allows Bob to obtain almost 3/4 of the total weight. This construction answers a question asked by Matsumoto, Nakamigawa, and Sakuma in [Graphs and Combinatorics, 36/1 (2020)]. We also present an arbitrarily large even-sized point set where Bob can obtain the entirety of the total weight. Finally, we discuss conjectures about optimum moves in the convex grabbing game for both players in general.</abstract>

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<originInfo><publisher>Canadian Conference on Computational Geometry</publisher><dateIssued encoding="w3cdtf">2021</dateIssued><place><placeTerm type="text">Halifax, NS, Canada; Virtual</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<subject><topic>convex grabbing game</topic><topic>graph grabbing game</topic><topic>combinatorial game</topic><topic>convex geometry</topic>
</subject>


<relatedItem type="host"><titleInfo><title>Proceedings of the 33rd Canadian Conference on Computational Geometry</title></titleInfo>
  <identifier type="arXiv">2106.11247</identifier>
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<ieee>M. Dvorak and S. Nicholson, “Massively winning configurations in the convex grabbing game on the plane,” in &lt;i&gt;Proceedings of the 33rd Canadian Conference on Computational Geometry&lt;/i&gt;, Halifax, NS, Canada; Virtual, 2021.</ieee>
<short>M. Dvorak, S. Nicholson, in:, Proceedings of the 33rd Canadian Conference on Computational Geometry, Canadian Conference on Computational Geometry, 2021.</short>
<mla>Dvorak, Martin, and Sara Nicholson. “Massively Winning Configurations in the Convex Grabbing Game on the Plane.” &lt;i&gt;Proceedings of the 33rd Canadian Conference on Computational Geometry&lt;/i&gt;, Canadian Conference on Computational Geometry, 2021.</mla>
<apa>Dvorak, M., &amp;#38; Nicholson, S. (2021). Massively winning configurations in the convex grabbing game on the plane. In &lt;i&gt;Proceedings of the 33rd Canadian Conference on Computational Geometry&lt;/i&gt;. Halifax, NS, Canada; Virtual: Canadian Conference on Computational Geometry.</apa>
<chicago>Dvorak, Martin, and Sara Nicholson. “Massively Winning Configurations in the Convex Grabbing Game on the Plane.” In &lt;i&gt;Proceedings of the 33rd Canadian Conference on Computational Geometry&lt;/i&gt;. Canadian Conference on Computational Geometry, 2021.</chicago>
<ama>Dvorak M, Nicholson S. Massively winning configurations in the convex grabbing game on the plane. In: &lt;i&gt;Proceedings of the 33rd Canadian Conference on Computational Geometry&lt;/i&gt;. Canadian Conference on Computational Geometry; 2021.</ama>
<ista>Dvorak M, Nicholson S. 2021. Massively winning configurations in the convex grabbing game on the plane. Proceedings of the 33rd Canadian Conference on Computational Geometry. CCCG: Canadian Conference on Computational Geometry.</ista>
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