PREPROCESSING

RIGOROUS THEORY OF PREPROCESSING

 Coordinatore UNIVERSITETET I BERGEN 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Norway [NO]
 Totale costo 2˙227˙051 €
 EC contributo 2˙227˙051 €
 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-2010-AdG_20100224
 Funding Scheme ERC-AG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-04-01   -   2016-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITETET I BERGEN

 Organization address address: Museplassen 1
city: BERGEN
postcode: 5007

contact info
Titolo: Ms.
Nome: Liv-Grethe
Cognome: Gudmundsen
Email: send email
Telefono: 4755584965
Fax: 4755584991

NO (BERGEN) hostInstitution 2˙227˙051.00
2    UNIVERSITETET I BERGEN

 Organization address address: Museplassen 1
city: BERGEN
postcode: 5007

contact info
Titolo: Prof.
Nome: Fedor
Cognome: Fomin
Email: send email
Telefono: 4755584024
Fax: 4755584199

NO (BERGEN) hostInstitution 2˙227˙051.00

Mappa


 Word cloud

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preprocessing    compressibility    heuristics    heuristic    algorithms    theory   

 Obiettivo del progetto (Objective)

'The main research goal of this project is the quest for rigorous mathematical theory explaining the power and failure of heuristics. The incapability of current computational models to explain the success of heuristic algorithms in practical computing is the subject of wide discussion for more than four decades. Within this project we expect a significant breakthrough in the study of a large family of heuristics: Preprocessing (data reduction or kernelization). Preprocessing is a reduction of the problem to a simpler one and this is the type of algorithms used in almost every application. As key to novel and groundbreaking results, the proposed project aims to develop new theory of polynomial time compressibility. Understanding the origin of compressibility will serve to build more powerful heuristic algorithms, as well as to explain the behaviour of preprocessing. The ubiquity of preprocessing makes the theory of compressibility extremely important. The new theory will be able to transfer the ideas of efficient computation beyond the established borders.'

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CREST (2011)

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