Linear kernels and single-exponential algorithms via protrusion decompositions
Eun Jung Kim, Alexander Langer, Christophe Paul, Felix Reidl, Peter, Rossmanith, Ignasi Sau, and Somnath Sikdar

TL;DR
This paper introduces a new decomposition method for graphs with a t-treewidth-modulator, enabling linear kernels for certain parameterized problems on H-topological-minor-free graphs and improving algorithms for Planar-F-Deletion.
Contribution
It presents a novel protrusion decomposition algorithm and applies it to achieve linear kernels and faster algorithms for specific graph problems.
Findings
Linear kernel for parameterized problems on H-topological-minor-free graphs.
Single-exponential algorithm for Planar-F-Deletion without connectivity constraints.
Protrusion decomposition as a key tool in graph algorithm design.
Abstract
A \emph{-treewidth-modulator} of a graph is a set such that the treewidth of is at most some constant . In this paper, we present a novel algorithm to compute a decomposition scheme for graphs that come equipped with a -treewidth-modulator. This decomposition, called a \emph{protrusion decomposition}, is the cornerstone in obtaining the following two main results. We first show that any parameterized graph problem (with parameter ) that has \emph{finite integer index} and is \emph{treewidth-bounding} admits a linear kernel on -topological-minor-free graphs, where is some arbitrary but fixed graph. A parameterized graph problem is called treewidth-bounding if all positive instances have a -treewidth-modulator of size , for some constant . This result partially extends previous meta-theorems on the existence of linear…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Limits and Structures in Graph Theory
