在O(n2Δ2lnn)时间内找到图形的框表示

L. Chandran, Mathew C. Francis, Rogers Mathew
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引用次数: 1

摘要

b维空间中的轴平行盒是笛卡尔积R1×R2×…×Rb其中Ri(对于1≤i≤b)是实线上形式为[ai, bi]的闭区间。对于图G,其有利性是最小维数b,使得G可以表示为b维空间中(轴平行)盒子的相交图。毒性的概念在生态学、运筹学等各个研究领域都有应用。Chandran, Francis和Sivadasan给出了一种O(Δn2ln2n)随机算法,用于在[(Δ+2)lnn]维中为n个顶点的任意图G构建盒子表示,其中¿是图的最大度。他们还提出了一个在0 (n4Δ)时间内运行的确定性算法。在这里,我们提出了一个O(n2Δ2lnn)确定性算法,该算法为[(Δ+2)lnn]维的任何图构建盒表示。
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Finding a Box Representation for a Graph in O(n2Δ2lnn) Time
An axis-parallel box in b-dimensional space is a Cartesian product R1×R2×...×Rb where Ri (for 1⩽i⩽b) is a closed interval of the form [ai, bi] on the real line. For a graph G, its boxicity is the minimum dimension b, such that G is representable as the intersection graph of (axis-parallel) boxes in b-dimensional space. The concept of boxicity finds application in various areas of research like ecology, operation research etc. Chandran, Francis and Sivadasan gave an O(Δn2ln2n) randomized algorithm to construct a box representation for any graph G on n vertices in [(Δ+2)lnn] dimensions, where ¿ is the maximum degree of the graph. They also came up with a deterministic algorithm that runs in O(n4Δ) time. Here, we present an O(n2Δ2lnn) deterministic algorithm that constructs the box representation for any graph in [(Δ+2)lnn] dimensions.
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