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Secondly, a single steady flow system of STMs is presented which solves an arbitrary instance of the maximal clique problem of given maximum size N. Values of N up to about 100 should be achievable with current lithographic techniques.
It will turn out that the maximal clique problem for the graphs considered here is not NP-hard.
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The maximum clique problem asks for a clique of maximum weight.
For general graphs, the computation of all maximal cliques is an NP-hard problem, since it can be reduced to the maximum clique problem which is again a classical NP-complete graph problem [ 7].
For disk graphs, we consider two variations of the maximum clique problem, namely geometric clique and graphical clique.
The maximum clique problem is NP-complete.
We formulate this problem as a two-stage maximal clique selection problem over an IDNC graph.
We formulate this packet selection problem as a two-stage maximal clique selection problem over an IDNC graph.
We formulate this problem as a non-critical maximal clique selection problem over graph (mathcal {G}_{b}^{1:ell } kappa _{c}^)) such as: (14).
However, the formulated maximal clique selection problem is NP-hard and even hard to approximate.
The Maximal Clique Enumeration Problem (MCEP) asks to compile a list of all maximal cliques in a given undirected graph G.
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