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Zeros and approximations of Holant polynomials on the complex plane

  • We present fully polynomial time approximation schemes for a broad class of Holant problems with complex edge weights, which we call Holant polynomials. We transform these problems into partition functions of abstract combinatorial structures known as polymers in statistical physics. Our method involves establishing zero-free regions for the partition functions of polymer models and using the most significant terms of the cluster expansion to approximate them. Results of our technique include new approximation and sampling algorithms for a diverse class of Holant polynomials in the low-temperature regime (i.e. small external field) and approximation algorithms for general Holant problems with small signature weights. Additionally, we give randomised approximation and sampling algorithms with faster running times for more restrictive classes. Finally, we improve the known zero-free regions for a perfect matching polynomial.

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Metadaten
Author details:Katrin CaselORCiDGND, Philipp FischbeckORCiDGND, Tobias FriedrichORCiDGND, Andreas GöbelGND, J. A. Gregor LagodzinskiORCiD
DOI:https://doi.org/10.1007/s00037-022-00226-5
ISSN:1016-3328
ISSN:1420-8954
Title of parent work (English):Computational complexity : CC
Publisher:Springer
Place of publishing:Basel
Publication type:Article
Language:English
Date of first publication:2022/07/27
Publication year:2022
Release date:2023/12/11
Tag:Holant problems; approximate counting; graph; partition functions; polynomials
Volume:31
Issue:2
Article number:11
Number of pages:52
Funding institution:Projekt DEAL
Organizational units:Digital Engineering Fakultät / Hasso-Plattner-Institut für Digital Engineering GmbH
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
Peer review:Referiert
Publishing method:Open Access / Hybrid Open-Access
License (German):License LogoCC-BY - Namensnennung 4.0 International
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