Distributed Local Approximation Algorithms for Maximum Matching in Graphs and Hypergraphs
نویسندگان
چکیده
منابع مشابه
Paralle Approximation Algorithms for Maximum Weighted Matching in General Graphs
The problem of computing a matching of maximum weight in a given edge-weighted graph is not known to be P-hard or in RNC. This paper presents four parallel approximation algorithms for this problem. The rst is an RNC-approximation scheme, i.e., an RNC algorithm that computes a matching of weight at least 1 times the maximum for any given constant > 0. The second one is an NC approximation algor...
متن کاملParallel Approximation Algorithms for Maximum Weighted Matching in General Graphs
The problem of computing a matching of maximum weight in a given edge-weighted graph is not known to be P-hard or in RNC. This paper presents four parallel approximation algorithms for this problem. The first is an RNC-approximation scheme, i.e., an RNC algorithm that computes a matching of weight at least 1 − times the maximum for any given constant > 0. The second one is an NC approximation a...
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We present a Logspace Approximation Scheme (LSAS), i.e. an approximation algorithm for maximum matching in planar graphs (not necessarily bipartite) that achieves an approximation ratio arbitrarily close to one, using only logarithmic space. This deviates from the well known Baker’s approach for approximation in planar graphs by avoiding the use of distance computation which is not known to be ...
متن کاملDistributed Approximation Algorithms for Planar Graphs
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ژورنال
عنوان ژورنال: SIAM Journal on Computing
سال: 2020
ISSN: 0097-5397,1095-7111
DOI: 10.1137/19m1279241