Pattern Avoidance, Statistical Mechanics and Computational Complexity (Dagstuhl Seminar 23121)

Authors David Bevan, Miklós Bóna, István Miklós and all authors of the abstracts in this report



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Author Details

David Bevan
  • University of Strathclyde - Glasgow, GB
Miklós Bóna
  • University of Florida - Gainesville, US
István Miklós
  • ELKH - Budapest, HU
and all authors of the abstracts in this report

Cite AsGet BibTex

David Bevan, Miklós Bóna, and István Miklós. Pattern Avoidance, Statistical Mechanics and Computational Complexity (Dagstuhl Seminar 23121). In Dagstuhl Reports, Volume 13, Issue 3, pp. 49-73, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/DagRep.13.3.49

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 23121 "Pattern Avoidance, Statistical Mechanics and Computational Complexity".

Subject Classification

ACM Subject Classification
  • Information systems → Data structures
  • Theory of computation → Formal languages and automata theory
  • Mathematics of computing → Combinatoric problems
  • Theory of computation → Algebraic complexity theory
  • Computing methodologies → Modeling and simulation
Keywords
  • algorithms
  • counting and sampling
  • modeling
  • permutation patterns
  • statistical physics.

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