GRAPHALGAPP

Challenges in Graph Algorithms with Applications

 Coordinatore UNIVERSITAT WIEN 

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

 Nazionalità Coordinatore Austria [AT]
 Totale costo 2˙428˙258 €
 EC contributo 2˙428˙258 €
 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-2013-ADG
 Funding Scheme ERC-AG
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-03-01   -   2019-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAT WIEN

 Organization address address: UNIVERSITATSRING 1
city: WIEN
postcode: 1010

contact info
Titolo: Dr.
Nome: Helmut
Cognome: Schaschl
Email: send email
Telefono: +43 1 4277 18218
Fax: +43 1 4277 10099

AT (WIEN) hostInstitution 2˙428˙258.00
2    UNIVERSITAT WIEN

 Organization address address: UNIVERSITATSRING 1
city: WIEN
postcode: 1010

contact info
Titolo: Prof.
Nome: Monika Hildegard
Cognome: Henzinger
Email: send email
Telefono: +43 1 4277 78310
Fax: +43 1 4277 9783

AT (WIEN) hostInstitution 2˙428˙258.00

Mappa


 Word cloud

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techniques    graph    algorithms    fundamental    algorithmic    specifically   

 Obiettivo del progetto (Objective)

'This project has two thrusts of equal importance. Firstly, it aims to develop new graph algorithmic techniques, specifically in the areas of dynamic graph algorithms, online algorithms and approximation algorithms for graph-based optimization problems. Thus, it proposes to solve long-standing, fundamental problems that are central to the field of algorithms. Secondly, it plans to apply these techniques to graph algorithmic problems in different fields of application, specifically in computer-aided verification, computational biology, and web-based advertisement with the goal of significantly advancing the state-of-the-art in these fields. This includes theoretical work as well as experimental evaluation on real-life data sets.

Thus, the goal of this project is a comprehensive approach to algorithms research which involves both excellent fundamental algorithms research as well as solving concrete applications.'

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