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A polynomial time algorithm for obtaining minimum edge ranking on two-connected outerplanar graphs

机译:用于在两个相连的外平面图上获得最小边缘等级的多项式时间算法

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摘要

An edge ranking of a graph G is a labeling r of its edges with positive integers such that every path between two different edges e_u, e_v with the same rank r(e_u) = r(e_v) contains an intermediate edge e_w with rank r(e_w) > r(e_u). An edge ranking of G is minimum if the largest rank k assigned is the smallest among all rankings of G. The edge ranking problem is to find a minimum edge ranking of given graph G. This problem is NP-hard and no polynomial time algorithm for solving it is known for non-trivial classes of graphs other than the class of trees. In this paper, we first show, on a general graph G, a relation between a minimum edge ranking of G and its minimal cuts, which ensures that we can obtain a polynomial time algorithm for obtaining minimum edge ranking of a given graph G if minimal cuts for each subgraph of G can be found in polynomial time and the number of those is polynomial. Based on this relation, we develop a polynomial time algorithm for finding a minimum edge ranking on a 2-connected outerplanar graph.
机译:图G的边缘等级是用正整数标记其边缘的r,使得具有相同等级r(e_u)= r(e_v)的两个不同边缘e_u,e_v之间的每条路径都包含等级r(的中间边缘e_w e_w)> r(e_u)。如果分配的最大秩k在G的所有排名中最小,则G的边缘排名最小。边缘排名问题是找到给定图G的最小边缘排名。该问题是NP难的,没有多项式时间算法解决它的方法除了树类之外,还涉及其他非平凡的图类。在本文中,我们首先在一般图G上显示了G的最小边缘等级与其最小割之间的关系,这确保了我们可以获得多项式时间算法来获得给定图G的最小边缘等级(如果最小)。 G的每个子图的割可以在多项式时间内找到,其数量是多项式。基于此关系,我们开发了一种多项式时间算法,用于在2个连通的外平面图上找到最小边缘排名。

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