Martin Drohmann
Martin Drohmann
Zugehörigkeit unbekannt
Bestätigte E-Mail-Adresse bei sandia.gov - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2052012
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
682011
The ROMES method for statistical modeling of reduced-order-model error
M Drohmann, K Carlberg
612014
Adaptive reduced basis methods for nonlinear convection–diffusion equations
M Drohmann, B Haasdonk, M Ohlberger
Finite Volumes for Complex Applications VI Problems & Perspectives, 369-377, 2011
362011
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
172009
A Software Framework for Reduced Basis Methods Using Dune-RB and RBmatlab
M Drohmann, B Haasdonk, S Kaulmann, M Ohlberger
Advances in DUNE, 77-88, 2012
132012
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
62012
Reduzierte-Basis Methoden für ungesättigte Grundwasserströmungen
M Drohmann, M Ohlberger, B Haasdonk
Diplomarbeit, Institut für Numerische und Angewandte Mathematik …, 2009
22009
Reduced basis model reduction for non linear evolution equations
M Drohmann
Institute for Computational Mathematics, Münster, 2012
12012
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
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
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
Reduzierte Basis Methoden angewandt auf die Richards Gleichung
M Drohmann
Breaking Computational Barriers
K Carlberg, M Drohmann, R Tuminaro, P Boggs, J Ray, ...
Empirical Operator Interpolation and Reduced Basis Methods
M Drohmann, B Haasdonk, S Kaulmann, M Ohlberger
Reduced basis methods for parametrized non-linear evolution equations
M Drohmann, B Haasdonk, M Ohlberger
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