167 research outputs found

    Minimum Light Numbers in the σ\sigma -Game and Lit-Only σ\sigma -Game on Unicyclic and Grid Graphs

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    Consider a graph each of whose vertices is either in the ON state or in the OFF state and call the resulting ordered bipartition into ON vertices and OFF vertices a configuration of the graph. A regular move at a vertex changes the states of the neighbors of that vertex and hence sends the current configuration to another one. A valid move is a regular move at an ON vertex. For any graph G,G, let D(G)\mathcal{D}(G) be the minimum integer such that given any starting configuration x\bf x of GG there must exist a sequence of valid moves which takes x\bf x to a configuration with at most ℓ+D(G)\ell +\mathcal{D}(G) ON vertices provided there is a sequence of regular moves which brings x\bf x to a configuration in which there are ℓ\ell ON vertices. The shadow graph S(G)\mathcal{S}(G) of a graph GG is obtained from GG by deleting all loops. We prove that D(G)≤3\mathcal{D}(G)\leq 3 if S(G)\mathcal{S}(G) is unicyclic and give an example to show that the bound 33 is tight. We also prove that D(G)≤2\mathcal{D}(G)\leq 2 if G G is a two-dimensional grid graph and D(G)=0\mathcal{D}(G)=0 if S(G)\mathcal{S}(G) is a two-dimensional grid graph but not a path and G≠S(G)G\neq \mathcal{S}(G)

    Research and Technology, 1989

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    Selected research and technology activities at Ames Research Center, including the Moffett Field site and the Dryden Flight Research Facility, are summarized. These accomplishments exemplify the Center's varied and highly productive research efforts for 1989

    Machine learning and Monte Carlo based data analysis methods in cosmic dust research

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    This work applies miscellaneous algorithms from the fields Machine Learning and Computational Numerics on the research field Cosmic Dust. The task is to determine the scientific and technical potential of using different methods. Here, the methods are applied on two different projects: the meteor camera system Canary Island Long-Baseline Observatory (CILBO) and the Cassini in-situ dust telescope Cosmic-Dust-Analyzer (CDA)

    Infocommunications Journal 13.

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