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Improved Approximation of Layout Problems on Random Graphs

DOI: 10.4236/ojdm.2020.101003, PP. 13-30

Keywords: Graph Arrangements, Random Graphs, Approximation Algorithms, Undirected Graphs, Directed Acyclic Graphs

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Abstract:

Inspired by previous work of Diaz, Petit, Serna, and Trevisan (Approximating layout problems on random graphs, Discrete Mathematics, 235, 2001, 245-253), we show that several well-known graph layout problems are approximable to within a factor arbitrarily close to 1 of the optimal with high probability for random graphs drawn from an Erdös-Renyi distribution with appropriate sparsity conditions using only elementary probabilistic analysis. Moreover, we show that the same results hold for the analogous problems on directed acyclic graphs.

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