| Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation M Drohmann, M Haasdonk, Bernard, Ohlberger SIAM Journal on Scientific Computing 34 (2), A937-A969, 2012 | 282 | 2012 |
| Model reduction of parametrized evolution problems using the reduced basis method with adaptive time-partitioning M Dihlmann, M Drohmann, B Haasdonk Proc. of ADMOS 2011, 64, 2011 | 119 | 2011 |
| The ROMES method for statistical modeling of reduced-order-model error M Drohmann, K Carlberg | 90 | 2014 |
| Adaptive reduced basis methods for nonlinear convection–diffusion equations M Drohmann, B Haasdonk, M Ohlberger Finite Volumes for Complex Applications VI Problems & Perspectives: FVCA 6 …, 2011 | 63 | 2011 |
| Reduced basis method for finite volume approximation of evolution equations on parametrized geometries M Drohmann, B Haasdonk, M Ohlberger Proceedings of ALGORITMY 2008, 111-120, 2009 | 20 | 2009 |
| A Software Framework for Reduced Basis Methods Using Dune-RB and RBmatlab M Drohmann, B Haasdonk, S Kaulmann, M Ohlberger Advances in DUNE: Proceedings of the DUNE User Meeting, Held in October 6th …, 2012 | 16 | 2012 |
| Reduced basis model reduction of parametrized two—phase flow in porous media M Drohmann, B Haasdonk, M Ohlberger IFAC Proceedings Volumes 45 (2), 722-727, 2012 | 7 | 2012 |
| SST/macro: A coarse-grained simulation workflow. G Hendry, JJ Wilke, JP Kenny, K Sargsyan, M Drohmann, BA Allan Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2013 | 2 | 2013 |
| Reduzierte-Basis Methoden für ungesättigte Grundwasserströmungen M Drohmann, M Ohlberger, B Haasdonk Diplomarbeit, Institut für Numerische und Angewandte Mathematik …, 2009 | 2 | 2009 |
| Reduced basis model reduction for non linear evolution equations M Drohmann Institute for Computational Mathematics, Münster, 2012 | 1 | 2012 |
| Breaking Computational Barriers: Real-time Analysis and Optimization with Large-scale Nonlinear Models via Model Reduction KT Carlberg, M Drohmann, RS Tuminaro, PT Boggs, J Ray, ... Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2014 | | 2014 |
| ROM-ES: Uncertainty Quantification of Reduced Order Model Errors. KT Carlberg, M Drohmann Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2013 | | 2013 |
| Stochastic estimation of reduced basis errors based on machine learning concepts. M Drohmann, KT Carlberg Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2013 | | 2013 |
| Error Estimation for Nonlinear Reduced Basis Methods based on Empirical Operator Interpolation. M Drohmann, B Haasdonk, M Ohlberger Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2013 | | 2013 |
| The Reduced Basis Method: Basic Ideas, Applications and Implementation Aspects S Kaulmann, M Drohmann, B Haasdonk, M Ohlberger | | 2010 |
| A reduced basis method for evolution equations on parametrized geometries M Drohmann, B Haasdonk, M Ohlberger | | 2009 |
| THE ROMES METHOD: UNCERTAINTY QUANTIFICATION OF MODEL REDUCTION ERRORS M DROHMANN, K CARLBERG | | |
| Numerik partieller Differentialgleichungen I M Drohmann, M Schaefer | | |
| Reduzierte Basis Methoden angewandt auf die Richards Gleichung M Drohmann | | |
| Empirical Operator Interpolation and Reduced Basis Methods M Drohmann, B Haasdonk, S Kaulmann, M Ohlberger | | |
Mario OhlbergerProfessor for Applied Mathematics, University of Münster, GermanyPatvirtintas el. paštas Uni-Muenster.de