Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation
Drohmann M, Haasdonk B, Ohlberger M
Research article (journal) | Peer reviewedDetails about the publication
Journal: SIAM Journal on Scientific Computing (SIAM J. Sci. Comput.)
Volume: 34
Status: Published
Release year: 2012
Language in which the publication is written: English
DOI: 10.1137/10081157X
Link to the full text: http://www.uni-muenster.de/math/num/publications/2012/DHO12a
Keywords: model reduction; parametrized evolution equations; reduced basis methods; empirical interpolation; a posteriori error estimation
Authors from the University of Münster
| Drohmann, Martin | Institute for Analysis and Numerics |
| Ohlberger, Mario | Center for Data Science and Complexity (CDSC) |
Projects the publication originates from
Duration: 01/02/2011 - 31/01/2013 | 2nd Funding period Funded by: DFG - Individual Grants Programme Type of project: Individual project |