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A fast algorithm for constructing sparse Euclidean spanners
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Source Annual Symposium on Computational Geometry archive
Proceedings of the tenth annual symposium on Computational geometry table of contents
Stony Brook, New York, United States
Pages: 132 - 139  
Year of Publication: 1994
ISBN:0-89791-648-4
Authors
Gautam Das  Math Sciences Dept., Memphis State University, Memphis, TN
Giri Narasimhan  Math Sciences Dept., Memphis State University, Memphis, TN
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 53,   Citation Count: 2
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ABSTRACT

Let G=(V,E) be a n-vertex connected graph with positive edge weights. A subgraph G′ is a t-spanner if for all u,v V, the distance between u and v in the subgraph is at most t times the corresponding distance in G. We design an O(nlog2n) time algorithm which, given a set V of n points in k-dimensional space, and any constant t>1, produces a t-spanner of the complete Euclidean graph of V. This algorithm retains the spirit of a recent O(n3logn)-time greedy algorithm which produces t-spanners with a small number of edges and a small total edge weight; we use graph clustering techniques to achieve a more efficient implementation. Our spanners have similar size and weight sparseness as those constructed by the greedy algorithm.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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B. Awerbuch, D. Peleg: Sparse Partitions: IEEE Foundations of Computer Science, 1993.
 
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E. Cohen: Fast Algorithms for Constructing t- Spanners and Paths with Stretch t: IEEE Foundations of Computer Science, 1993.
 
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B. Chandra, G. Das, G. Narasimhan, J. Scares: New Sparseness Results on Graph Spanners: to appear in International Journal of Computational Geometry and Applications.
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Collaborative Colleagues:
Gautam Das: colleagues
Giri Narasimhan: colleagues