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The problem of finding the Hamiltonian path in a graph, or deciding whether a graph has a Hamiltonian path or not, is an NP-complete problem.
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Furthermore, it has been proved that every connected circulant graph has a Hamiltonian cycle [17].
The second-order nonlinear ode model has a Hamiltonian structure, showing dynamical behavior like the Duffing-oscillator.
Ignoring missing edges, the NMR graph has a corresponding Hamiltonian path.
Thus the contact graph has an embedded Hamiltonian path from N terminus to C terminus (in addition to numerous through-space edges connecting residues at any sequential distance).
If C uses edge vw, then C−vw has a path P:=(v=v1,…2,v,v n =w) that is a Hamiltonian path in G; moreover, by the pigeonhole principle, there exists i such that 1
37. A Hamiltonian path on a graph is a path visiting every node exactly once.
Then if a Hamiltonian path exists, it reports the path.
\(\sc{HAMILTONIAN}\ \sc{PATH}\ \) Given a finite graph \(G = \langle V,E \rangle\), does \(G\) contain a Hamiltonian Path (i.e. a path which visits each vertex exactly once)?
In this paper we use light to solve a Hamiltonian path problem in polynomial time.
The Hamilton path problem (G,s,t) consists in determining whether there is in G a Hamiltonian path from s to t.
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