Gnecco, Giorgio and Sanguineti, Marcello Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations. In: SOFSEM 2010: Theory and Practice of Computer Science. Lecture Notes in Computer Science (5901). Springer, pp. 440-451. ISBN 978-3-642-11266-9 (2010)
Full text not available from this repository.Abstract
Sufficient conditions for the existence and uniqueness of smooth optimal decision strategies for static team optimization problems with statistical information structure are derived. Approximation methods and algorithms to derive suboptimal solutions based on the obtained results are investigated. The application to network team optimization problems is discussed.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science, Špindleruv Mlýn, Czech Republic, January 23-29, 2010. |
| Uncontrolled Keywords: | Team utility function; value of a team; statistical information structure; approximation schemes; suboptimal solutions; network optimization |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Research Area: | Computer Science and Applications |
| Depositing User: | Giorgio Gnecco |
| Date Deposited: | 10 Sep 2013 14:42 |
| Last Modified: | 16 Sep 2013 12:03 |
| URI: | http://eprints.imtlucca.it/id/eprint/1666 |
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