relation: http://eprints.imtlucca.it/1703/
title: Information complexity of functional optimization problems and their approximation schemes
creator: Gnecco, Giorgio
creator: Sanguineti, Marcello
subject: QA75 Electronic computers. Computer science
description: Functional optimization is investigated using tools from information-based complexity. In such optimization problems, a functional has to be minimized with respect to admissible solutions belonging to an infinite-dimensional space of functions. This context models tasks arising in optimal control, systems identification, machine learning, time-series analysis, etc. The solution via variable-basis approximation schemes, which provide a sequence of nonlinear programming problems approximating the original functional one, is considered. Also for such problems, the information complexity is estimated.
date: 2010
type: Article
type: PeerReviewed
identifier:   Gnecco, Giorgio and Sanguineti, Marcello  Information complexity of functional optimization problems and their approximation schemes.  Mathematics in Engineering, Science and Aerospace (MESA), 1 (3).  pp. 303-317.  ISSN 2041-3165      (2010)  
relation: http://nonlinearstudies.com/index.php/mesa/article/view/403