• Media type: E-Article; Text; Electronic Conference Proceeding
  • Title: Exploiting Sparsity for Bipartite Hamiltonicity
  • Contributor: Björklund, Andreas [Author]
  • imprint: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2018
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.ISAAC.2018.3
  • Keywords: bipartite graph ; Hamiltonian cycle
  • Origination:
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  • Description: We present a Monte Carlo algorithm that detects the presence of a Hamiltonian cycle in an n-vertex undirected bipartite graph of average degree delta >= 3 almost surely and with no false positives, in (2-2^{1-delta})^{n/2}poly(n) time using only polynomial space. With the exception of cubic graphs, this is faster than the best previously known algorithms. Our method is a combination of a variant of Björklund's 2^{n/2}poly(n) time Monte Carlo algorithm for Hamiltonicity detection in bipartite graphs, SICOMP 2014, and a simple fast solution listing algorithm for very sparse CNF-SAT formulas.
  • Access State: Open Access