MATLAN
High relative accuracy matrix techniques for linear and non-linear structured eigenvalue problems and applications
| Coordinatore | TECHNISCHE UNIVERSITAT BERLIN
Organization address
address: STRASSE DES 17 JUNI 135 contact info |
| Nazionalità Coordinatore | Germany [DE] |
| Totale costo | 111˙036 € |
| EC contributo | 111˙036 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-2007-2-1-IEF |
| Funding Scheme | MC-IEF |
| Anno di inizio | 2009 |
| Periodo (anno-mese-giorno) | 2009-04-06 - 2010-04-05 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
TECHNISCHE UNIVERSITAT BERLIN
Organization address
address: STRASSE DES 17 JUNI 135 contact info |
DE (BERLIN) | coordinator | 111˙036.49 |
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Obiettivo del progetto (Objective)
'Development of matrix algorithms for solving linear and non-linear structured eigenvalue problems with high relative accuracy or with the best accuracy possible. We will particularly focus on problems which reduce to eigenvalue problems for Hamiltonian and skew-Hamiltonian problems since those appear in important applications. We will combine standrad algorithms for such problems with known high relative acuracy methods for some other matrix problems in orther to develop high relative accuracy algorithms for some of the structured problems. We will also investigate newly propsed method for clustering almost stochastic matrices which is used for the identification of meta-stable states of Markov chains. In this case high relative accuracy requirement reduces to compuation of correct signs of the singular vectors of the second largest singular value, but as fast as possible.'