Subexponential-Time and FPT Algorithms for Embedded Flat Clustered Planarity
Abstract
The C-Planarity problem asks for a drawing of a , i.e., a graph whose vertices belong to properly nested clusters, in which each cluster is represented by a simple closed region with no edge-edge crossings, no region-region crossings, and no unnecessary edge-region crossings. We study C-Planarity for , graphs with a fixed combinatorial embedding whose clusters partition the vertex set. Our main result is a subexponential-time algorithm to test C-Planarity for these graphs when their face size is bounded. Furthermore, we consider a variation of the notion of in which, for each face, including the outer face, there is a bag that contains every vertex of the face. We show that C-Planarity is fixed-parameter tractable with the embedded-width of the underlying graph and the number of disconnected clusters as parameters.
Cite
@article{arxiv.1803.05465,
title = {Subexponential-Time and FPT Algorithms for Embedded Flat Clustered Planarity},
author = {Giordano Da Lozzo and David Eppstein and Michael T. Goodrich and Siddharth Gupta},
journal= {arXiv preprint arXiv:1803.05465},
year = {2018}
}
Comments
14 pages, 6 figures