A Framework for Approximation Schemes on Disk Graphs
Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Jie Xue, Meirav, Zehavi

TL;DR
This paper develops a general framework for creating efficient approximation schemes for various optimization problems on disk graphs, extending known results and removing the need for graph realizations.
Contribution
It introduces a novel reduction from general disk graphs to those with bounded local radius, enabling the application of planar graph techniques to disk graphs.
Findings
EPTASes for multiple vertex-deletion problems on disk graphs.
Disk graphs of bounded local radius have properties similar to planar graphs.
The framework does not require a realization of the input graph.
Abstract
We initiate a systematic study of approximation schemes for fundamental optimization problems on disk graphs, a common generalization of both planar graphs and unit-disk graphs. Our main contribution is a general framework for designing efficient polynomial-time approximation schemes (EPTASes) for vertex-deletion problems on disk graphs, which results in EPTASes for many problems including Vertex Cover, Feedback Vertex Set, Small Cycle Hitting (in particular, Triangle Hitting), -Hitting for , Path Deletion, Pathwidth -Deletion, Component Order Connectivity, Bounded Degree Deletion, Pseudoforest Deletion, Finite-Type Component Deletion, etc. All EPTASes obtained using our framework are robust in the sense that they do not require a realization of the input graph. To the best of our knowledge, prior to this work, the only problems known to admit (E)PTASes on disk…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Optimization and Search Problems
