| HiFlow3 a flexible and hardware-aware parallel finite element package V Heuveline Proceedings of the 9th Workshop on Parallel/High-Performance Object-Oriented …, 2010 | 50 | 2010 |
| A hybrid generalized polynomial chaos method for stochastic dynamical systems V Heuveline, M Schick International Journal for Uncertainty Quantification 4 (1), 2014 | 31 | 2014 |
| HiFlow3: A Hardware-Aware Parallel Finite Element Package H Anzt, W Augustin, M Baumann, T Gengenbach, T Hahn, ... Tools for High Performance Computing 2011: Proceedings of the 5th …, 2012 | 26 | 2012 |
| Regionalizing input data for generation and transmission expansion planning models V Slednev, M Ruppert, V Bertsch, W Fichtner, N Meyer-Hübner, M Suriyah, ... Advances in Energy System Optimization: Proceedings of the first …, 2017 | 16 | 2017 |
| A domain decomposition approach for solving dynamic optimal power flow problems in parallel with application to the German transmission grid P Gerstner, M Schick, V Heuveline, N Meyer-Hübner, M Suriyah, ... Preprint Series of the Engineering Mathematics and Computing Lab, 2016 | 12 | 2016 |
| Comparison between a polynomial chaos surrogate model and Markov Chain Monte Carlo for inverse uncertainty quantification based on an electric drive test bench P Glaser, M Schick, K Petridis, V Heuveline ECCOMAS Congress 2016, 2016 | 12 | 2016 |
| A Newton--Galerkin method for fluid flow exhibiting uncertain periodic dynamics M Schick, V Heuveline, OP Le Ma SIAM/ASA Journal on Uncertainty Quantification 2 (1), 153-173, 2014 | 12 | 2014 |
| A local time--dependent Generalized Polynomial Chaos method for Stochastic Dynamical Systems V Heuveline, M Schick Preprint Series of the Engineering Mathematics and Computing Lab, 2011 | 12 | 2011 |
| Uncertainty quantification for stochastic dynamical systems: Spectral methods using generalized polynomial chaos M Schick Karlsruhe, Karlsruher Institut für Technologie (KIT), Diss., 2011, 2012 | 10 | 2012 |
| New developments in modeling network constraints in techno-economic energy system expansion planning models M Schönfelder, A Eßer-Frey, M Schick, W Fichtner, V Heuveline, ... Zeitschrift für Energiewirtschaft 1 (36), 27-35, 2012 | 10 | 2012 |
| Time constrained optimal power flow calculations on the German power grid N Meyer-Hübner, MR Suriyah, T Leibfried, V Slednev, V Bertsch, ... International ETG Congress 2015; Die Energiewende-Blueprints for the new …, 2015 | 9 | 2015 |
| Learning model discrepancy of an electric motor with Bayesian inference D John, M Schick, V Heuveline Preprint Series of the Engineering Mathematics and Computing Lab, 2018 | 6 | 2018 |
| Towards a hybrid numerical method using generalized polynomial chaos for stochastic differential equations V Heuveline, M Schick Preprint Series of the Engineering Mathematics and Computing Lab, 2011 | 6 | 2011 |
| Optimal storage operation with model predictive control in the German transmission grid N Meyer-Hübner, M Suriyah, T Leibfried, V Slednev, V Bertsch, W Fichtner, ... Advances in Energy System Optimization: Proceedings of the first …, 2017 | 4 | 2017 |
| Uncertainty quantification and high performance computing (dagstuhl seminar 16372) V Heuveline, M Schick, C Webster, P Zaspel Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2017 | 4 | 2017 |
| A Newton--Galerkin Method for Fluid Flow Exhibiting Uncertain Periodic Dynamics M Schick, V Heuveline, OP Le Ma siam REVIEW 58 (1), 119-140, 2016 | 4 | 2016 |
| A Polynomial Chaos Method for Uncertainty Quantification in blood pump simulation M Schick, C Song, V Heuveline National Technical University of Athens, 93-106, 2015 | 4 | 2015 |
| A parallel multilevel spectral galerkin solver for linear systems with uncertain parameters M Schick 2014 22nd Euromicro International Conference on Parallel, Distributed, and …, 2014 | 4 | 2014 |
| Hierarchical surrogate-based Approximate Bayesian Computation for an electric motor test bench DN John, L Stohrer, C Schillings, M Schick, V Heuveline arXiv preprint arXiv:2106.09597, 2021 | 3 | 2021 |
| Modeling of a likelihood function based on a global sensitivity analysis P Glaser, P Kosmas, M Schick, V Heuveline PAMM 17 (1), 719-720, 2017 | 3 | 2017 |
Vincent HeuvelineProfessor Applied and Numerical Mathematics - Heidelberg UniversityVerified email at uni-heidelberg.de