Publications

Joachim Escher, Pierre Gosselet, and Christina Lienstromberg. A note on model reduction for microelectromechanical systems. Nonlinearity, (30)2:454--465, 2017. [PUMA: Lienstromberg IADM systems microelectromechanical from:elkepeter for model reduction] URL

Daniel Wirtz, and Bernard Haasdonk. Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems. Systems & Control Letters, (61)1:203--211, Elsevier BV, 2012. [PUMA: subspace error dynamical kernel a-posteriori from:britsteiner methods, ians nonlinear systems, offline/online decomposition, projection estimates, model anm reduction,] URL

S. Kaulmann, B. Flemisch, Bernard Haasdonk, K.-A. Lie, and M. Ohlberger. The localized reduced basis multiscale method for two-phase flows in porous media. International Journal for Numerical Methods in Engineering, Wiley, September 2014. [PUMA: methods;discontinuous Galerkin;two-phase methods model from:britsteiner order ians reduction;reduced anm flow;multiscale basis]

Andrea Barth, Raimund Bürger, Ilja Kröker, and Christian Rohde. Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach. Computers & Chemical Engineering, (89):11 -- 26, 2016. [PUMA: Clarifier-thickener from:mhartmann ians model vorlaeufig] URL

D. Wirtz, and B. Haasdonk. Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems. Systems and Control Letters, (61)1:203 - 211, 2012. [PUMA: a-posteriori decomposition, dynamical error estimates, from:mhartmann ians kernel methods, model nonlinear offline/online projection reduction, subspace systems, vorlaeufig] URL

Magnus Redeker, and Bernard Haasdonk. A POD-EIM reduced two-scale model for crystal growth. Advances in Computational Mathematics, (41)5:987--1013, Springer US, 2015. [PUMA: 78M34 Empirical Model Parametrized Proper decomposition; from:mhartmann ians interpolation; model; orthogonal reduction; two-scale vorlaeufig] URL

Daniel Wirtz, and Bernard Haasdonk. A-posteriori error estimation for parameterized kernel-based systems. Proc. MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling, 2012. [PUMA: a-posteriori decomposition, dynamical error estimates, from:mhartmann ians kernel methods, model nonlinear offline/online parameterized projection reduction, subspace systems, vorlaeufig] URL