2010
DOI: 10.1007/978-3-642-12200-2_57
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Computational Complexity of the Hamiltonian Cycle Problem in Dense Hypergraphs

Abstract: Abstract.We study the computational complexity of deciding the existence of a Hamiltonian Cycle in some dense classes of k-uniform hypergraphs. Those problems turned out to be, along with the hypergraph Perfect Matching problems, exceedingly hard, and there is a renewed algorithmic interest in them. In this paper we design a polynomial time algorithm for the Hamiltonian Cycle problem for k-uniform hypergraphs with density at least 1 2 + , > 0. In doing so, we depend on a new method of constructing Hamiltonian … Show more

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Cited by 6 publications
(14 citation statements)
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“…We also consider the tractability of finding a tight Hamilton cycle in a k-graph for k ≥ 3. For such cycles we close the aforementioned 'hardness gap' identified by Karpiński, Ruciński and Szymańska [21] by proving the following theorem. Theorem 1.6.…”
Section: Introductionsupporting
confidence: 67%
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“…We also consider the tractability of finding a tight Hamilton cycle in a k-graph for k ≥ 3. For such cycles we close the aforementioned 'hardness gap' identified by Karpiński, Ruciński and Szymańska [21] by proving the following theorem. Theorem 1.6.…”
Section: Introductionsupporting
confidence: 67%
“…That is, we must show that for each 1 ≤ k ≤ r we have A = E(X|j 1 , · · · , j k ), B = 1 νr E(Y |j 1 , · · · , j k ) and C = E(Z|j 1 , · · · , j k ), where A, B and C are the quantities given in Procedure SelectSet. The first two of these equalities were established in [21] (and are straightforward to verify). For the third define f i,j and f i,j as in Procedure SelectSet.…”
Section: 2mentioning
confidence: 91%
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