eprintid: 1666
rev_number: 8
eprint_status: archive
userid: 46
dir: disk0/00/00/16/66
datestamp: 2013-09-10 14:42:52
lastmod: 2013-09-16 12:03:00
status_changed: 2013-09-10 14:42:52
type: book_section
metadata_visibility: show
creators_name: Gnecco, Giorgio
creators_name: Sanguineti, Marcello
creators_id: giorgio.gnecco@imtlucca.it
creators_id: 
title: Smooth Optimal Decision Strategies for Static Team  Optimization Problems and Their Approximations
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
keywords: Team utility function; value of a team; statistical information structure; approximation schemes; suboptimal solutions; network optimization
note: Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science, Špindleruv Mlýn, Czech Republic, January 23-29, 2010. 

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.
date: 2010
date_type: published
series: Lecture Notes in Computer Science
number: 5901
publisher: Springer
pagerange: 440-451
refereed: TRUE
isbn: 978-3-642-11266-9
book_title: SOFSEM 2010: Theory and Practice of Computer Science
official_url: http://dx.doi.org/10.1007/978-3-642-11266-9_37
citation:   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)