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Randomized contractions meet lean decompositions

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abstract

We show an algorithm that, given an $n$-vertex graph $G$ and a parameter $k$, in time $2^{O(k \log k)} n^{O(1)}$ finds a tree decomposition of $G$ with the following properties: * every adhesion of the tree decomposition is of size at most $k$, and * every bag of the tree decomposition is $(i,i)$-unbreakable in $G$ for every $1 \leq i \leq k$. Here, a set $X \subseteq V(G)$ is $(a,b)$-unbreakable in $G$ if for every separation $(A,B)$ of order at most $b$ in $G$, we have $|A \cap X| \leq a$ or $|B \cap X| \leq a$. The resulting tree decomposition has arguably best possible adhesion size boundsand unbreakability guarantees. Furthermore, the parametric factor in the running time bound is significantly smaller than in previous similar constructions. These improvements allow us to present parameterized algorithms for Minimum Bisection, Steiner Cut, and Steiner Multicut with improved parameteric factor in the running time bound. The main technical insight is to adapt the notion of lean decompositions of Thomas and the subsequent construction algorithm of Bellenbaum and Diestel to the parameterized setting.

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math.CO 1

years

2025 1

verdicts

CONDITIONAL 1

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Excluding a rectangular grid

math.CO · 2025-01-20 · conditional · novelty 8.0

A new parameter family, k-treedepth, is characterized by excluded minors T□P_l for all k-vertex trees T, unifying treedepth, the ladder theorem, and the Grid-Minor Theorem.

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  • Excluding a rectangular grid math.CO · 2025-01-20 · conditional · none · ref 2020 · internal anchor

    A new parameter family, k-treedepth, is characterized by excluded minors T□P_l for all k-vertex trees T, unifying treedepth, the ladder theorem, and the Grid-Minor Theorem.