Finding maximum matchings in RDV graphs efficiently

In this paper, we study the maximum matching problem in RDV graphs, i.e., vertex-intersection graphs of downward paths in a rooted tree. We show that this problem can be reduced to a problem of testing (repeatedly) whether a horizontal segment intersects one of a dynamically changing set of vertical segments, which in turn reduces to a range minimum query. Using a suitable data structure, we can therefore find a maximum matching in O(n log n) time (presuming a linear-sized representation of the graph is given), i.e., without even looking at all edges.

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Publication Details

Journal
Computing in Geometry and Topology
Published
2024-09-02
DOI
https://doi.org/10.57717/cgt.v5i2.72
Primary Topic
Graph Theory and Algorithms
Type
article
Field-Weighted Citation Impact
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article

Finding maximum matchings in RDV graphs efficiently

Prashant Gokhale, Therese Biedl
Computing in Geometry and Topology
Graph Theory and Algorithms
article

Finding maximum matchings in RDV graphs efficiently

Prashant Gokhale, Therese Biedl
article en

Abstract

In this paper, we study the maximum matching problem in RDV graphs, i.e., vertex-intersection graphs of downward paths in a rooted tree. We show that this problem can be reduced to a problem of testing (repeatedly) whether a horizontal segment intersects one of a dynamically changing set of vertical segments, which in turn reduces to a range minimum query. Using a suitable data structure, we can therefore find a maximum matching in O(n log n) time (presuming a linear-sized representation of the graph is given), i.e., without even looking at all edges.

Computing in Geometry and Topology
University of Waterloo (CA)
Openalex Percentile: Top 56%
Graph Theory and Algorithms
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Finding maximum matchings in RDV graphs efficiently — Prashant Gokhale, Therese Biedl · Computing in Geometry and Topology (2024) | TGRS Research Map | TGRS