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Advanced Mathematical Tools for Complex Network Engineering

Coordinatore	ECOLE SUPERIEURE D'ELECTRICITE    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	France [FR]
Totale costo	1˙499˙714 €
EC contributo	1˙499˙714 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2012-StG_20111012
Funding Scheme	ERC-SG
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-10-01   -   2017-09-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	ECOLE SUPERIEURE D'ELECTRICITE  Organization address address: RUE JOLIOT CURIE 3 PLATEAU DE MOULON city: GIF SUR YVETTE CEDEX postcode: 91192 contact info Titolo: Ms. Nome: Fanny Cognome: Gaget Email: send email Telefono: +33 1 69 85 12 53 Fax: +33 1 69 85 12 59	FR (GIF SUR YVETTE CEDEX)	hostInstitution	1˙499˙714.40
2	ECOLE SUPERIEURE D'ELECTRICITE  Organization address address: RUE JOLIOT CURIE 3 PLATEAU DE MOULON city: GIF SUR YVETTE CEDEX postcode: 91192 contact info Titolo: Prof. Nome: Mérouane Cognome: Debbah Email: send email Telefono: +33 1 69 85 14 47 Fax: +33 1 69 85 14 59	FR (GIF SUR YVETTE CEDEX)	hostInstitution	1˙499˙714.40

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 Obiettivo del progetto (Objective)

'The objective of this research project is to develop a comprehensive mathematical framework to analyze and optimize future complex systems characterized by their large dimensions, their stochastic aspects, and their being self-organized, such as smart grids and small cell telecommunication networks.

Complex systems are inherently not tractable by existing mathematical tools due to their large physical dimensions and to their many stochastic parameters. In the past decades, several mathematical tools have emerged that enable the analysis of simplified models of complex systems. Among those tools, we mention importantly large dimensional random matrix theory, decentralized stochastic approximation, and mean field games. Only recently have those tools started to improve to encompass broader ranges of system models, allowing one to obtain relevant results in realistic scenarios. The target of our research project is to develop these tools in order to address broad problems of complex systems and to encompass them in an original unified theoretical framework.

This project represents an opportunity to develop common methodologies for many engineering communities sharing similar challenges in large dimensional stochastic networks, within a new world leading group on mathematical foundations for complex networks.'