Simple Counting and Sampling Algorithms for Graphs with Bounded Pathwidth
Data Structures and Algorithms
2020-08-20 v1
Abstract
In this paper, we consider the problem of counting and sampling structures in graphs. We define a class of "edge universal labeling problems"---which include proper -colorings, independent sets, and downsets---and describe simple algorithms for counting and uniformly sampling valid labelings of graphs, assuming a path decomposition is given. Thus, we show that several well-studied counting and sampling problems are fixed parameter tractable (FPT) when parameterized by the pathwidth of the input graph. We discuss connections to counting and sampling problems for distributive lattices and, in particular, we give a new FPT algorithm for exactly counting and uniformly sampling stable matchings.
Cite
@article{arxiv.2008.08479,
title = {Simple Counting and Sampling Algorithms for Graphs with Bounded Pathwidth},
author = {Christine T. Cheng and Will Rosenbaum},
journal= {arXiv preprint arXiv:2008.08479},
year = {2020}
}