Parametric and kinetic minimum spanning trees

P. Agarwal, D. Eppstein, L. Guibas, M. Henzinger
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引用次数: 63

Abstract

We consider the parametric minimum spanning tree problem, in which we are given a graph with edge weights that are linear functions of a parameter /spl lambda/ and wish to compute the sequence of minimum spanning trees generated as /spl lambda/ varies. We also consider the kinetic minimum spanning tree problem, in which /spl lambda/ represents time and the graph is subject in addition to changes such as edge insertions, deletions, and modifications of the weight functions as time progresses. We solve both problems in time O(n/sup 2/3/log/sup 4/3/) per combinatorial change in the tree (or randomized O(n/sup 2/3/log/sup 4/3/ n) per change). Our time bounds reduce to O(n/sup 1/2/log/sup 3/2/ n) per change (O(n/sup 1/2/log n) randomized) for planar graphs or other minor-closed families of graphs, and O(n/sup 1/4/log/sup 3/2/ n) per change (O(n/sup 1/4/ log n) randomized) for planar graphs with weight changes but no insertions or deletions.
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参数和动态最小生成树
我们考虑参数最小生成树问题,在这个问题中,我们给定一个图,其边权是参数/spl lambda/的线性函数,并希望计算当/spl lambda/变化时生成的最小生成树序列。我们还考虑了动态最小生成树问题,其中/spl lambda/表示时间,并且随着时间的推移,图还受到诸如边插入,删除和权函数修改等变化的影响。我们解决这两个问题的时间都是O(n/sup 2/3/log/sup 4/3/)每次树的组合变化(或者随机化的O(n/sup 2/3/log/sup 4/3/ n)每次变化)。我们的时间界限减少到O(n/sup 1/2/log/sup 3/2/ n)每次变化(O(n/sup 1/2/log n)随机化)对于平面图或其他小封闭图族,以及O(n/sup 1/4/log/sup 3/2/ n)每次变化(O(n/sup 1/4/log n随机化)对于具有权重变化但没有插入或删除的平面图。
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