Title
Computing the Map of Geometric Minimal Cuts
Abstract
In this paper we consider the problem of computing a map of geometric minimal cuts (called MGMC problem) induced by a planar rectilinear embedding of a subgraph H = (V H , E H ) of an input graph G. We first show that unlike the classic min-cut problem on graphs, the number of all rectilinear geometric minimal cuts is bounded by a low polynomial, O(n 3). Our algorithm for identifying geometric minimum cuts runs in O(n 3 logn (loglogn)3) time in the worst case which can be reduced to O(n logn (loglogn)3) when the maximum size of the cut is bounded by a constant, where n = |V H |. Once geometric minimal cuts are identified we show that the problem can be reduced to computing the L  ∞  Hausdorff Voronoi diagram of axis aligned rectangles. We present the first output-sensitive algorithm to compute this diagram which runs in O((N + K)log2 N loglogN) time and O(Nlog2 N) space, where N is the number of rectangles and K is the complexity of the diagram.
Year
DOI
Venue
2014
10.1007/978-3-642-10631-6_26
Algorithmica
Keywords
Field
DocType
Geometric minimal cut,Hausdorff Voronoi diagram,Output sensitive algorithm,Plane sweep algorithm,Computational geometry
Discrete mathematics,Combinatorics,Polynomial,Computational geometry,Diagram,Hausdorff space,Voronoi diagram,Output-sensitive algorithm,Sweep line algorithm,Mathematics,Bounded function
Journal
Volume
Issue
ISSN
68
4
0302-9743
Citations 
PageRank 
References 
3
0.44
22
Authors
3
Name
Order
Citations
PageRank
Jinhui Xu166578.86
Lei Xu215421.38
Evanthia Papadopoulou311018.37