An algorithm for finding Hamilton cycles in random graphs
STOC '85 Proceedings of the seventeenth annual ACM symposium on Theory of computing
On the parallel complexity of Hamiltonian cycle and matching problem on dense graphs
Journal of Algorithms
An Algorithmic Regularity Lemma for Hypergraphs
SIAM Journal on Computing
Loose Hamilton cycles in 3-uniform hypergraphs of high minimum degree
Journal of Combinatorial Theory Series B
Ramsey Properties of Random k-Partite, k-Uniform Hypergraphs
SIAM Journal on Discrete Mathematics
Hamiltonian chains in hypergraphs
Journal of Graph Theory
The Complexity of Almost Perfect Matchings in Uniform Hypergraphs with High Codegree
Combinatorial Algorithms
The Complexity of Perfect Matching Problems on Dense Hypergraphs
ISAAC '09 Proceedings of the 20th International Symposium on Algorithms and Computation
The complexity of vertex coloring problems in uniform hypergraphs with high degree
WG'10 Proceedings of the 36th international conference on Graph-theoretic concepts in computer science
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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 $\tfrac12 + \epsilon$, ε0. In doing so, we depend on a new method of constructing Hamiltonian cycles from (purely) existential statements which could be of independent interest. On the other hand, we establish NP-completeness of that problem for density at least $\tfrac1k - \epsilon$. Our results seem to be the first complexity theoretic results for the Dirac-type dense hypergraph classes.