@incollection{eprints1666,
           title = {Smooth Optimal Decision Strategies for Static Team  Optimization Problems and Their Approximations},
          series = {Lecture Notes in Computer Science},
            year = {2010},
          number = {5901},
           pages = {440--451},
       booktitle = {SOFSEM 2010: Theory and Practice of Computer Science},
            note = {Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science, {\v S}pindleruv Ml{\'y}n, Czech Republic, January 23-29, 2010. 
},
       publisher = {Springer},
          author = {Giorgio Gnecco and Marcello Sanguineti},
             url = {http://eprints.imtlucca.it/1666/},
        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.},
        keywords = {Team utility function; value of a team; statistical information structure; approximation schemes; suboptimal solutions; network optimization}
}