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An optimal time algorithm for minimum linear arrangement of chord graphs

机译:和弦图最小线性排列的最佳时间算法

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摘要

A linear arrangement φ of an undirected graph G = (V, E) with |V| = n nodes is a bijective function φ:V → {0, ..., n - 1}. The cost function is cost(G,φ)=∑_(uv∈E)|(φ(u)-φ(v))| and opt(G) = min_(?φ)cost(G, φ). The problem of finding opt(G) is called minimum linear arrangement (MINLA). The Minimum Linear Arrangement is an NP-hard problem in general. But there are some classes of graphs optimally solvable in polynomial time. In this paper, we show that the label of each node equals to the reverse of binary representation of its id in the optimal arrangement. Then, we design an O(n) algorithm to solve the minimum linear arrangement problem of Chord graphs.
机译:无向图G =(V,E)且| V |的线性排列φ = n个节点是双射函数φ:V→{0,...,n-1}。成本函数为cost(G,φ)= ∑_(uv∈E)|(φ(u)-φ(v))|并且opt(G)= min _(?φ)cost(G,φ)。找到opt(G)的问题称为最小线性排列(MINLA)。一般而言,最小线性排列是一个NP难题。但是,有些类别的图在多项式时间内可以最佳求解。在本文中,我们证明了在最佳排列中,每个节点的标签等于其id的二进制表示形式的倒数。然后,我们设计了一种O(n)算法来解决Chord图的最小线性排列问题。

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