Abstract
The inference and optimization in sparse graphs with real variables is studied using methods of statistical mechanics. Efficient distributed algorithms for the resource allocation problem are devised. Numerical simulations show excellent performance and full agreement with the theoretical results. Copyright © 2006 Springer-Verlag Berlin Heidelberg.
| Original language | English |
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| Title of host publication | Neural information processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II |
| Editors | Irwin KING, Jun WANG, Lai-Wan CHAN, DeLiang WANG |
| Place of Publication | Berlin |
| Publisher | Springer |
| Pages | 754-763 |
| ISBN (Electronic) | 9783540464822 |
| ISBN (Print) | 9783540464815 |
| DOIs | |
| Publication status | Published - 2006 |