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  • 标题:Improved Streaming Algorithms for Weighted Matching, via Unweighted Matching
  • 本地全文:下载
  • 作者:Michael Crouch ; Daniel M. Stubbs
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2014
  • 卷号:28
  • 页码:96-104
  • DOI:10.4230/LIPIcs.APPROX-RANDOM.2014.96
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We present a (4 + epsilon) approximation algorithm for weighted graph matching which applies in the semistreaming, sliding window, and MapReduce models; this single algorithm improves the previous best algorithm in each model. The algorithm operates by reducing the maximum-weight matching problem to a polylog number of copies of the maximum-cardinality matching problem. The algorithm also extends to provide approximation guarantees for the more general problem of finding weighted independent sets in p-systems (which include intersections of p matroids and p-bounded hypergraph matching).
  • 关键词:Streaming Algorithms; Graph Matching; Weighted Graph Matching; MapReduce; Independence Systems
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