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Asymptotic Formulas for Connectivity Probabilities of Random Graphs

机译:随机图连通性的渐近公式

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摘要

Known asymptotic formulas are used to analyze the connectivity probability of graphs with highly reliable and poorly reliable edges. The conventional methods used to calculate the coefficients in these formulas require a number of arithmetic operations that grows geometrically with the growing number of graph edges. The adjacency matrix of the dual graph for highly reliable edges and the Kirchhoff matrix for poorly reliable edges result in algorithms of cubic complexity.
机译:已知的渐近公式用于分析具有高度可靠和欠可靠边缘的图的连通性概率。用于计算这些公式中的系数的常规方法需要大量的算术运算,这些运算随着图形边缘的数量增加而几何增长。对偶图的邻接矩阵(用于高度可靠的边)和Kirchhoff矩阵(用于可靠性不佳的边)导致了立方复杂度的算法。

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