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Open AccessJournal ArticleDOI

Small Spectral Gap in the Combinatorial Laplacian Implies Hamiltonian

Steve Butler, +1 more
- 12 Jan 2010 - 
- Vol. 13, Iss: 4, pp 403-412
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TLDR
In this article, a sufficient condition for a graph being Hamiltonian is that the nontrivial eigenvalues of the combinatorial Laplacian are sufficiently close to the average degree of the graph.
Abstract
We consider the spectral and algorithmic aspects of the problem of finding a Hamil- tonian cycle in a graph. We show that a sufficient condition for a graph being Hamiltonian is that the nontrivial eigenvalues of the combinatorial Laplacian are sufficiently close to the average degree of the graph. An algorithm is given for the problem of finding a Hamiltonian cycle in graphs with bounded spectral gaps which has complexity of order n c ln n .

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Citations
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Book

Proceedings of the International Congress of Mathematicians

TL;DR: The main topics of eohomologieal investigation in Algebraic Geometry, as they appear at present, can be found in this article, with the main focus on the Weil cohomology.
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Quantum algorithms for topological and geometric analysis of data

TL;DR: In this article, quantum machine learning algorithms for calculating Betti numbers in persistent homology and for finding eigenvectors and eigenvalues of the combinatorial Laplacian are presented.
Journal ArticleDOI

Spectral radius and Hamiltonicity of graphs

TL;DR: In this paper, it was shown that if G is a graph of order n and μ (G ) is the largest eigenvalue of its adjacency matrix, then G does not contain a Hamiltonian cycle unless G = K n - 1 + e + v.
Journal ArticleDOI

Recent Advances on the Hamiltonian Problem: Survey III

TL;DR: This article is intended as a survey, updating earlier surveys in the area, and contains some material on closely related topics such as traceable, pancyclic and Hamiltonian connected graphs.
References
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Book ChapterDOI

Reducibility Among Combinatorial Problems

TL;DR: The work of Dantzig, Fulkerson, Hoffman, Edmonds, Lawler and other pioneers on network flows, matching and matroids acquainted me with the elegant and efficient algorithms that were sometimes possible.
Book

The Probabilistic Method

Joel Spencer
TL;DR: A particular set of problems - all dealing with “good” colorings of an underlying set of points relative to a given family of sets - is explored.
Journal ArticleDOI

The Traveling-Salesman Problem and Minimum Spanning Trees

TL;DR: It is shown that maxπwπ = C* precisely when a certain well-known linear program has an optimal solution in integers.
Book ChapterDOI

Exact algorithms for NP-hard problems: a survey

TL;DR: The list of discussed NP-complete problems includes the traveling salesman problem, scheduling under precedence constraints, satisfiability, knapsack, graph coloring, independent sets in graphs, bandwidth of a graph, and many more as discussed by the authors.
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