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On the Cubicity of AT-Free Graphs and Circular-Arc Graphs

机译:关于无AT图和圆弧图的三次性

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A unit cube in k dimensions (k-cube) is defined as the Cartesian product R_1 × R_2 ×... × R_k where R_i (for 1 ≤ i ≤ k) is a closed interval of the form [a_i,a_i + 1] on the real line. A graph G on n nodes is said to be representable as the intersection of k-cubes (cube representation in k dimensions) if each vertex of G can be mapped to a k-cube such that two vertices are adjacent in G if and only if their corresponding k-cubes have a non-empty intersection. The cubicity of G denoted as cub(G) is the minimum k for which G can be represented as the intersection of k-cubes.rnAn interesting aspect about cubicity is that many problems known to be NP-complete for general graphs have polynomial time deterministic algorithms or have good approximation ratios in graphs of low cubicity. In most of these algorithms, computing a low dimensional cube representation of the given graph is usually the first step.rnWe give an O(bw · n) algorithm to compute the cube representation of a general graph G in bw + 1 dimensions given a bandwidth ordering of the vertices of G, where bw is the bandwidth of G. As a consequence, we get O(△) upper bounds on the cubicity of many well-known graph classes such as AT-free graphs, circular-arc graphs and cocomparability graphs which have O(△) bandwidth. Thus we have:rn1. cub(G) ≤ 3△ - 1, if G is an AT-free graph.rn2. cub(G) ≤ 2△ + 1, if G is a circular-arc graph.rn3. cub(G) ≤ 2△, if G is a cocomparability graph.rnAlso for these graph classes, there are constant factor approximation algorithms for bandwidth computation that generate orderings of vertices with O(△) width. We can thus generate the cube representation of such graphs in O(△) dimensions in polynomial time.
机译:k维度中的单位立方(k立方)定义为笛卡尔乘积R_1×R_2×...... R_k,其中R_i(对于1≤i≤k)是[a_i,a_i + 1]形式的闭合区间在真实的线上。如果G的每个顶点都可以映射到k立方体,使得当且仅当G的两个顶点相邻,则n个节点上的图G可以表示为k立方体的交点(k维度中的立方体表示)。它们对应的k立方体有一个非空的交集。表示为Cub(G)的G的立方度是最小的k,可以将G表示为k立方的交点.rn关于立方度的一个有趣方面是,对于一般图来说,许多已知为NP完全的问题具有多项式时间确定性算法或在低立方图中具有良好的近似比率。在大多数这些算法中,通常第一步是计算给定图的低维立方体表示。rn我们给出一个O(bw·n)算法,以给定带宽在bw + 1维上计算普通图G的立方体表示。 G的顶点的排序,其中bw是G的带宽。因此,我们获得了许多知名图类(例如无AT的图,圆弧图和可比性)的三次方的O(△)上限具有O(△)带宽的图。因此我们有:rn1。如果G是无AT的图,则cub(G)≤3△-1,rn2。如果G是圆弧图,则cub(G)≤2△+ 1,rn3。如果G是一个可比图,则cub(G)≤2△。rn对于这些图类,还有一些用于带宽计算的常数因子近似算法,这些算法会生成宽度为O(△)的顶点顺序。因此,我们可以在多项式时间内以O(△)维生成此类图的立方体表示。

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