An improved kernelization algorithm for Trivially Perfect Editing
Ma\"el Dumas, Anthony Perez

TL;DR
This paper improves the kernelization algorithm for Trivially Perfect Editing by reducing the kernel size from O(k^3) to O(k^2) vertices, leveraging structural properties of unaffected vertices.
Contribution
The authors present a novel approach that tightens the bounds on key structures, leading to a more efficient kernelization algorithm for the problem.
Findings
Kernel size reduced from O(k^3) to O(k^2) vertices.
Structural properties of unaffected vertices are key to the improvement.
The approach simplifies previous complex reduction techniques.
Abstract
In the Trivially Perfect Editing problem one is given an undirected graph and an integer and seeks to add or delete at most edges in to obtain a trivially perfect graph. In a recent work, Dumas, Perez and Todinca [Algorithmica 2023] proved that this problem admits a kernel with vertices. This result heavily relies on the fact that the size of trivially perfect modules can be bounded by as shown by Drange and Pilipczuk [Algorithmica 2018]. To obtain their cubic vertex-kernel, Dumas, Perez and Todinca [Algorithmica 2023] then showed that a more intricate structure, so-called \emph{comb}, can be reduced to vertices. In this work we show that the bound can be improved to for both aforementioned structures and thus obtain a kernel with vertices. Our approach relies on the straightforward yet powerful observation that any…
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Taxonomy
TopicsOptimization and Search Problems · Nanocluster Synthesis and Applications · Advanced biosensing and bioanalysis techniques
