English

Subexponential-Time and FPT Algorithms for Embedded Flat Clustered Planarity

Data Structures and Algorithms 2018-03-16 v1 Computational Geometry

Abstract

The C-Planarity problem asks for a drawing of a clustered graph\textit{clustered graph}, 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 embedded flat clustered graphs\textit{embedded flat clustered graphs}, 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 embedded tree decomposition\textit{embedded tree decomposition} 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.

Keywords

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

R2 v1 2026-06-23T00:53:25.107Z