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Abstract
We study the problem of sampling almost uniform proper q-colourings in k-uniform simple hypergraphs with maximum degree Δ. For any δ>0, if k≥20(1+δ)δ and q≥100Δ2+δk−4/δ−4, the running time of our algorithm is O~(poly(Δk)⋅n1.01), where n is the number of vertices. Our result requires fewer colours than previous results for general hypergraphs (Jain, Pham, and Voung, 2021; He, Sun, and Wu, 2021), and does not require Ω(logn) colours unlike the work of Frieze and Anastos (2017).
Original language | English |
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Title of host publication | Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2022) |
Editors | Amit Chakrabarti, Chaitanya Swamy |
Place of Publication | Dagstuhl, Germany |
Publisher | Schloss Dagstuhl - Leibniz-Zentrum für Informatik |
Pages | 1-17 |
Volume | 245 |
ISBN (Electronic) | 9783959772495 |
DOIs | |
Publication status | Published - 15 Sept 2022 |
Event | RANDOM - Duration: 19 Sept 2022 → 21 Sept 2022 https://randomconference.com/random-2022-home/ |
Publication series
Name | Leibniz International Proceedings in Informatics (LIPIcs) |
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Publisher | Schloss Dagstuhl -- Leibniz-Zentrum für Informatik |
Volume | 245 |
ISSN (Electronic) | 1868-8969 |
Conference
Conference | RANDOM |
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Period | 19/09/22 → 21/09/22 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- approximate counting
- Markov chain
- mixing time
- hypergraph colouring
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Dive into the research topics of 'Improved bounds for randomly colouring simple hypergraphs'. Together they form a unique fingerprint.Projects
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New Approaches to Counting and Sampling
Guo, H. (Principal Investigator)
1/01/21 → 31/12/25
Project: Research