Show simple item record

dc.contributor.authorThiery, Ten_US
dc.contributor.authorWard, Jen_US
dc.contributor.authorACM-SIAM Symposium on Discrete Algorithmsen_US
dc.date.accessioned2023-01-20T12:03:47Z
dc.date.available2022-10-11en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/83937
dc.description.abstractWe consider the weighted k-set packing problem, in which we are given a collection of weighted sets, each with at most k elements and must return a collection of pairwise disjoint sets with maximum total weight. For k = 3, this problem generalizes the classical 3-dimensional matching problem listed as one of the Karp’s original 21 NP-complete problems. We give an algorithm attaining an approximation factor of 1.786 for 3-set packing, improving on the recent best result of 2 − 1/63,700,992 due to Neuwohner. Our algorithm is based on the local search procedure of Berman that attempts to improve the sum of squared weights rather than the problem’s objective. When using exchanges of size at most k, this algorithm attains an approximation factor of (k+1)/2 . Using exchanges of size k²(k − 1) + k, we provide a relatively simple analysis to obtain an approximation factor of 1.811 when k = 3. We then show that the tools we develop can be adapted to larger exchanges of size 2k²(k − 1) + k to give an approximation factor of 1.786. Although our primary focus is on the case k = 3, our approach in fact gives slightly stronger improvements on the factor (k+1)/2 for all k > 3. As in previous works, our guarantees hold also for the more general problem of finding a maximum weight independent set in a (k + 1)-claw free graph.en_US
dc.titleAn Improved Approximation for Maximum Weighted k-Set Packingen_US
dc.typeConference Proceeding
dc.rights.holder© 2023 by SIAM
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2022-10-11en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderPractical Submodular Optimisation Beyond the Standard Greedy Algorithm::Engineering and Physical Sciences Research Councilen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record