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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
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Local Computation Algorithms for Hypergraph Coloring -- following Beck's approach (full version)

Authors: Dorobisz, Andrzej; Kozik, Jakub;

Local Computation Algorithms for Hypergraph Coloring -- following Beck's approach (full version)

Abstract

We investigate local computation algorithms (LCA) for two-coloring of $k$-uniform hypergraphs. We focus on hypergraph instances that satisfy strengthened assumption of the Lovász Local Lemma of the form $2^{1-αk} (Δ+1) \mathrm{e} < 1$, where $Δ$ is the bound on the maximum edge degree. The main question which arises here is for how large $α$ there exists an LCA that is able to properly color such hypergraphs in polylogarithmic time per query. We describe briefly how upgrading the classical sequential procedure of Beck from 1991 with Moser and Tardos' RESAMPLE yields polylogarithmic LCA that works for $α$ up to $1/4$. Then, we present an improved procedure that solves wider range of instances by allowing $α$ up to $1/3$.

Full version of the paper accepted for the ICALP 2023 conference (additional appendixes B, C, D)

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Keywords

FOS: Computer and information sciences, G.2.2; G.3, Computer Science - Data Structures and Algorithms, G.3, Data Structures and Algorithms (cs.DS), G.2.2, 05C15, 05C65, 68W20, 68Q87

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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