eprintid: 1726
rev_number: 6
eprint_status: archive
userid: 46
dir: disk0/00/00/17/26
datestamp: 2013-09-16 09:09:08
lastmod: 2013-09-16 12:02:59
status_changed: 2013-09-16 09:09:08
type: article
metadata_visibility: show
creators_name: Gnecco, Giorgio
creators_name: Sanguineti, Marcello
creators_name: Gaggero, Mauro
creators_id: giorgio.gnecco@imtlucca.it
creators_id: 
creators_id: 
title: Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
abstract: Existence, uniqueness, and approximations of smooth solutions to team optimization problems with stochastic information structure are investigated. Suboptimal strategies made up of linear combinations of basis functions containing adjustable parameters are considered. Estimates of their accuracies are derived by combining properties of the unknown optimal strategies with tools from nonlinear approximation theory. The estimates are obtained for basis functions corresponding to sinusoids with variable frequencies and phases, Gaussians with variable centers and widths, and sigmoidal ridge functions. The theoretical results are applied to a problem of optimal production in a multidivisional firm, for which numerical simulations are presented.
date: 2012
date_type: published
publication: SIAM Journal on Optimization
volume: 22
number: 1
publisher: Society for Industrial and Applied Mathematics
pagerange: 212-243
id_number: 10.1137/100803481
refereed: TRUE
issn: 1052-6234
official_url: http://epubs.siam.org/doi/abs/10.1137/100803481
citation:   Gnecco, Giorgio and Sanguineti, Marcello and Gaggero, Mauro  Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure.  SIAM Journal on Optimization, 22 (1).  pp. 212-243.  ISSN 1052-6234      (2012)