Lahn, Nathaniel ;
Raghvendra, Sharath
A Weighted Approach to the Maximum Cardinality Bipartite Matching Problem with Applications in Geometric Settings
Abstract
We present a weighted approach to compute a maximum cardinality matching in an arbitrary bipartite graph. Our main result is a new algorithm that takes as input a weighted bipartite graph G(A cup B,E) with edge weights of 0 or 1. Let w <= n be an upper bound on the weight of any matching in G. Consider the subgraph induced by all the edges of G with a weight 0. Suppose every connected component in this subgraph has O(r) vertices and O(mr/n) edges. We present an algorithm to compute a maximum cardinality matching in G in O~(m(sqrt{w} + sqrt{r} + wr/n)) time.
When all the edge weights are 1 (symmetrically when all weights are 0), our algorithm will be identical to the wellknown HopcroftKarp (HK) algorithm, which runs in O(m sqrt{n}) time. However, if we can carefully assign weights of 0 and 1 on its edges such that both w and r are sublinear in n and wr=O(n^{gamma}) for gamma < 3/2, then we can compute maximum cardinality matching in G in o(m sqrt{n}) time. Using our algorithm, we obtain a new O~(n^{4/3}/epsilon^4) time algorithm to compute an epsilonapproximate bottleneck matching of A,B subsetR^2 and an 1/(epsilon^{O(d)}}n^{1+(d1)/(2d1)}) poly log n time algorithm for computing epsilonapproximate bottleneck matching in ddimensions. All previous algorithms take Omega(n^{3/2}) time. Given any graph G(A cup B,E) that has an easily computable balanced vertex separator for every subgraph G'(V',E') of size V'^{delta}, for delta in [1/2,1), we can apply our algorithm to compute a maximum matching in O~(mn^{delta/1+delta}) time improving upon the O(m sqrt{n}) time taken by the HKAlgorithm.
BibTeX  Entry
@InProceedings{lahn_et_al:LIPIcs:2019:10452,
author = {Nathaniel Lahn and Sharath Raghvendra},
title = {{A Weighted Approach to the Maximum Cardinality Bipartite Matching Problem with Applications in Geometric Settings}},
booktitle = {35th International Symposium on Computational Geometry (SoCG 2019)},
pages = {48:148:13},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {9783959771047},
ISSN = {18688969},
year = {2019},
volume = {129},
editor = {Gill Barequet and Yusu Wang},
publisher = {Schloss DagstuhlLeibnizZentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/10452},
URN = {urn:nbn:de:0030drops104528},
doi = {10.4230/LIPIcs.SoCG.2019.48},
annote = {Keywords: Bipartite matching, Bottleneck matching}
}
11.06.2019
Keywords: 

Bipartite matching, Bottleneck matching 
Seminar: 

35th International Symposium on Computational Geometry (SoCG 2019)

Issue date: 

2019 
Date of publication: 

11.06.2019 