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Deterministic network coding by matrix completion
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Source Symposium on Discrete Algorithms archive
Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
Vancouver, British Columbia
SESSION: Session 5B table of contents
Pages: 489 - 498  
Year of Publication: 2005
ISBN:0-89871-585-7
Authors
Nicholas J. A. Harvey  MIT Computer Science and Artificial Intelligence Laboratory
David R. Karger  MIT Computer Science and Artificial Intelligence Laboratory
Kazuo Murota  University of Tokyo
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
: SIAM Activity Group on Discrete Mathematics
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 113,   Citation Count: 7
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ABSTRACT

We present a new deterministic algorithm to construct network codes for multicast problems, a particular class of network information ow problems. Our algorithm easily generalizes to several variants of multicast problems. Our approach is based on a new algorithm for maximum-rank completion of mixed matrices---taking a matrix whose entries are a mixture of numeric values and symbolic variables, and assigning values to the variables so as to maximize the resulting matrix rank. Our algorithm is faster than existing deterministic algorithms and can operate over a smaller field.


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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J. F. Geelen. Matching theory. Unpublished manuscript, 2001.
 
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N. J. A. Harvey, R. D. Kleinberg, and A. R. Lehman. Comparing network coding with multicommodity flow for the k-pairs communication problem. Technical Report MIT-LCS-TR-964, Massachusetts Institute of Technology, Sept. 2004.
 
10
T. Ho, D. R. Karger, M. Médard, and R. Koetter. Network coding from a network flow perspective. In Proceedings of the IEEE International Symposium on Information Theory, 2003.
 
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T. Ho, R. Koetter, M. Médard, D. R. Karger, and M. Effros. The benefits of coding over routing in a randomized setting. In Proceedings of the IEEE International Symposium on Information Theory, 2003.
 
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M. Laurent. Matrix completion problems. In C. Floudas and P. Pardalos, editors, The Encyclopedia of Optimization, volume III, pages 221--229. Kluwer, 2001.
 
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Collaborative Colleagues:
Nicholas J. A. Harvey: colleagues
David R. Karger: colleagues
Kazuo Murota: colleagues