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dc.contributor.author김은미-
dc.date.accessioned2026-11-03T16:30:47Z-
dc.date.available2026-11-03T16:30:47Z-
dc.date.issued2026-
dc.identifier.issn1058-6458-
dc.identifier.issn1944-950X-
dc.identifier.otherOAK-40658-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/276804-
dc.description.abstractWe propose an algorithm based on Monte Carlo Tree Search equipped with a supervised learned neural network to find an integer partition of n into squares satisfying n=lambda 1+lambda 2+& ctdot;+lambda l,1=1 lambda 1+1 lambda 2+& ctdot;+1 lambda l with squares lambda 1 >=lambda 2 >=& ctdot;>=lambda l >= 1 . By using induction and the search algorithm, we prove that such a partition exists if n >= 1508 .-
dc.languageEnglish-
dc.publisherTAYLOR &amp-
dc.publisherFRANCIS INC-
dc.subjectsquare Graham partition-
dc.subjectMCTS-
dc.subjectneural network-
dc.titleA Computational Approach to Square Graham Partitions-
dc.typeArticle-
dc.relation.issue3-
dc.relation.volume35-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.startpage492-
dc.relation.lastpage500-
dc.relation.journaltitleEXPERIMENTAL MATHEMATICS-
dc.identifier.doi10.1080/10586458.2025.2484445-
dc.identifier.wosidWOS:001462195000001-
dc.author.googleKim, Byungchan-
dc.author.googleKim, Eunmi-
dc.author.googlePark, Yoon Kyung-
dc.contributor.scopusid김은미(56147492200)-
dc.date.modifydate20261103115228-
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