Publications

Tobias Köppl, Gabriele Santin, Bernard Haasdonk, and Rainer Helmig. Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods. International Journal for Numerical Methods in Biomedical Engineering, (0)ja:e3095, 2018. [PUMA: models, peripheral kernel simulations reduced mixed-dimension methods, ians blood simulations, stenosis, from:mhartmann real-time dimensionally surrogate vorlaeufig flow] URL

Tobias Köppl, Gabriele Santin, Bernard Haasdonk, and Rainer Helmig. Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods. International Journal for Numerical Methods in Biomedical Engineering, (34)8:e3095, 2018. [PUMA: models, peripheral mixed‐dimension kernel simulations reduced from:britsteiner methods, ians blood real‐time simulations, stenosis, dimensionally surrogate flow anm] URL

A. Schmidt, and Bernard Haasdonk. Data-driven surrogates of value functions and applications to feedback control for dynamical systems. IFAC-PapersOnLine, (51)2:307--312, 2018. [PUMA: principle, approximation, greedy optimal from:britsteiner ians feedback techniques control, dynamic Kernel anm programming] 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: subspace error dynamical kernel a-posteriori methods, ians systems, nonlinear offline/online from:mhartmann decomposition, projection estimates, model vorlaeufig 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 systems, nonlinear offline/online decomposition, projection estimates, model anm reduction,] 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: subspace error dynamical kernel a-posteriori methods, ians systems, nonlinear offline/online from:mhartmann decomposition, parameterized projection estimates, model vorlaeufig reduction,] URL