FUNCOMP

Numerical Computation with Functions Instead of Numbers

 Coordinatore THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

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

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 1˙668˙157 €
 EC contributo 1˙668˙157 €
 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-2011-ADG_20110209
 Funding Scheme ERC-AG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-03-01   -   2017-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

 Organization address address: University Offices, Wellington Square
city: OXFORD
postcode: OX1 2JD

contact info
Titolo: Ms.
Nome: Gill
Cognome: Wells
Email: send email
Telefono: +44 1865 289800
Fax: +44 1865 289801

UK (OXFORD) hostInstitution 1˙668˙157.00
2    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

 Organization address address: University Offices, Wellington Square
city: OXFORD
postcode: OX1 2JD

contact info
Titolo: Prof.
Nome: Lloyd Nicholas
Cognome: Trefethen
Email: send email
Telefono: +44 1865 615317
Fax: +44 1865 615101

UK (OXFORD) hostInstitution 1˙668˙157.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

discretization    numerical    computing    discretizations    scientific    finite    symbolic    functions    yet   

 Obiettivo del progetto (Objective)

'Numerical analysis, scientific computing, and computational science are built on technologies of discretization such as splines, finite differences, and finite elements. Yet for most applications it is ultimately continuous functions that are of scientific interest, and the discretizations are a means to the end of working with them. This project will advance mathematics and algorithms to enable scientists and engineers to compute with functions rather than their discretizations. Such computations will be numerical as opposed to symbolic, for speed and wide applicability, yet will achieve some of the “feel” of symbolic computing. The goal is to do for computing with functions what floating-point arithmetic has done for computing with numbers: to hide away details of discretization from most users, most of the time.'

Altri progetti dello stesso programma (FP7-IDEAS-ERC)

SOFTCITY (2013)

The Programmable City

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PUSHBOUND (2010)

Pushing the Boundaries of Molecular Dynamics Simulations

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E-SWARM (2010)

Engineering Swarm Intelligence Systems

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