dc.creatorPérez-Lantero, Pablo
dc.date2022-05-20T20:45:20Z
dc.date2022-06-18T20:37:48Z
dc.date2022-05-20T20:45:20Z
dc.date2022-06-18T20:37:48Z
dc.dateNovember4
dc.date2017
dc.date2017
dc.dateNovember2
dc.date.accessioned2023-08-23T00:14:44Z
dc.date.available2023-08-23T00:14:44Z
dc.identifier1160543
dc.identifierhttps://hdl.handle.net/10533/253921
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8354370
dc.descriptionGiven a finite set of weighted points in Rd (where there can be negative weights), the maximum box problem asks for an axis-aligned rectangle (i.e., box) such that the sum of the weights of the points that it contains is maximized. We consider that each point of the input has a probability of being present in the final random point set, and these events are mutually independent; then, the total weight of a maximum box is a random variable. We aim to compute both the probability that this variable is at least a given parameter, and its expectation. We show that even in d = 1 these computations are #P-hard, and give pseudo polynomial-time algorithms in the case where the weights are integers in a bounded interval. For d = 2, we consider that each point is colored red or blue, where red points have weight +1 and blue points weight −∞. The random variable is the maximum number of red points that can be covered with a box not containing any blue point. We prove that the above two computations are also #Phard, and give a polynomial-time algorithm for computing the probability that there is a box containing exactly two red points, no blue point, and a given point of the plane. This is a joint work with L. E. Caraballo, C. Seara, and I. Ventura.
dc.descriptionFONDECYT
dc.descriptionFONDECYT
dc.languageeng
dc.relationinstname: ANID
dc.relationreponame: Repositorio Digital RI2.0
dc.relationEncuentro Anual de la Sociedad de Matemática de Chile
dc.relation86°
dc.rightshttp://creativecommons.org/licenses/by/3.0/cl/
dc.titleMaximum Box Problem on Stochastic Points
dc.typeinfo:eu-repo/semantics/lecture
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.coverageTalca


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