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dc.contributor.authorDemaine, Erik D
dc.contributor.authorLiu, Quanquan
dc.date.accessioned2019-06-18T19:49:06Z
dc.date.available2019-06-18T19:49:06Z
dc.date.issued2017-07
dc.identifier.urihttps://hdl.handle.net/1721.1/121351
dc.description.abstractPebble games are single-player games on DAGs involving placing and moving pebbles on nodes of the graph according to a certain set of rules. The goal is to pebble a set of target nodes using a minimum number of pebbles. In this paper, we present a possibly simpler proof of the result in [4] and strengthen the result to show that it is PSPACE-hard to determine the minimum number of pebbles to an additive n1/3−εterm for all ε > 0, which improves upon the currently known additive constant hardness of approximation [4] in the standard pebble game. We also introduce a family of explicit, constant indegree graphs with n nodes where there exists a graph in the family such that using 0 < k < √n pebbles requires Ω((n/k)k) moves to pebble in both the standard and black-white pebble games. This independently answers an open question summarized in [14] of whether a family of DAGs exists that meets the upper bound of O(nk) moves using constant k pebbles with a different construction than that presented in [1].en_US
dc.language.isoen
dc.publisherSpringer Natureen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-319-62127-2_27en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleInapproximability of the Standard Pebble Game and Hard to Pebble Graphsen_US
dc.title.alternativeInapproximability of the Standard Pebble Game and Hard to Pebble Graphsen_US
dc.typeArticleen_US
dc.identifier.citationDemaine E.D. and Q.C. Liu. "Inapproximability of the Standard Pebble Game and Hard to Pebble Graphs." Workshop on Algorithms and Data Structures 2017, July-August 2017, St. Johns, Canada, Springer International Publishing, July 2017 © 2017 Springer International Publishingen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalWorkshop on Algorithms and Data Structures 2017en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-06-17T16:27:42Z
dspace.date.submission2019-06-17T16:27:43Z


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