| Finite volume schemes for hyperbolic balance laws with multiplicative noise I Kröker, C Rohde Applied Numerical Mathematics 62 (4), 441-456, 2012 | 38 | 2012 |
| A hybrid stochastic Galerkin method for uncertainty quantification applied to a conservation law modelling a clarifier‐thickener unit R Buerger, I Kroeker, C Rohde ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …, 2014 | 24 | 2014 |
| Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario M Köppel, F Franzelin, I Kröker, S Oladyshkin, G Santin, D Wittwar, ... Computational Geosciences 23 (2), 339-354, 2019 | 18 | 2019 |
| A stochastically and spatially adaptive parallel scheme for uncertain and nonlinear two-phase flow problems I Kröker, W Nowak, C Rohde Computational Geosciences 19 (2), 269-284, 2015 | 16 | 2015 |
| Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach A Barth, R Bürger, I Kröker, C Rohde Computers & Chemical Engineering 89, 11-26, 2016 | 12 | 2016 |
| Uncertainty Quantification for a Clarifier–Thickener Model with Random Feed R Bürger, I Kröker, C Rohde Finite Volumes for Complex Applications VI Problems & Perspectives, 195-203, 2011 | 10 | 2011 |
| Stochastic modeling for heterogeneous two-phase flow M Köppel, I Kröker, C Rohde Finite Volumes for Complex Applications VII-Methods and Theoretical Aspects …, 2014 | 9 | 2014 |
| Intrusive uncertainty quantification for hyperbolic-elliptic systems governing two-phase flow in heterogeneous porous media M Köppel, I Kröker, C Rohde Computational Geosciences 21 (4), 807-832, 2017 | 5 | 2017 |
| Hybrid stochastic Galerkin finite volumes for the diffusively corrected Lighthill-Whitham-Richards traffic model R Bürger, I Kröker International Conference on Finite Volumes for Complex Applications, 189-197, 2017 | 4 | 2017 |
| Finite volume methods for conservation laws with noise I Kröker Finite volumes for complex applications V, 527-534, 2008 | 4 | 2008 |
| Bayesian3 Active Learning for the Gaussian Process Emulator Using Information Theory S Oladyshkin, F Mohammadi, I Kroeker, W Nowak Entropy 22 (8), 890, 2020 | 2 | 2020 |
| Computational uncertainty quantification for some strongly degenerate parabolic convection–diffusion equations R Bürger, I Kröker Journal of Computational and Applied Mathematics 348, 490-508, 2019 | 2 | 2019 |
| A hybrid stochastic Galerkin method for uncertainty quantification applied to a conservation law modelling a clarifier-thickener unit with several random sources A Barth, R Bürger, I Kröker, C Rohde Preprint 34, 2015 | 1 | 2015 |
| Finite Volume Methods for Hyperbolic Partial Differential Equations with Spatial Noise A Barth, I Kröker XVI International Conference on Hyperbolic Problems: Theory, Numerics …, 2016 | | 2016 |
| Stochastic models for nonlinear convection-dominated flows I Kröker Verlag Dr. Hut, 2013 | | 2013 |
| Numerical methods for stochastic conservation laws Milestone Report I Kröker | | 2010 |
| UNCERTAINTY QUANTIFICATION FOR STRONGLY DEGENERATE PARABOLIC EQUATIONS MODELLING SEDIMENTATION R BÜRGER, I KRÖKER | | |
| NUMERICAL METHODS FOR CONSERVATION LAWS WITH MULTIPLICATIVE NOISE I KRÖKER, C ROHDE | | |
| A HYBRID STOCHASTIC GALERKIN METHOD FOR UNCERTAINTY QUANTIFICATION APPLIED TO CLARIFER-THICKENER MODEL WITH SEVERAL RANDOM PERTURBATIONS A BARTH, R BÜRGER, I KRÖKER, C ROHNDE | | |
| Multi-Resolution Methods for Quantifying Uncertainties in Geophysical Applications I Kröker | | |
Christian RohdeUniversität StuttgartBestätigte E-Mail-Adresse bei mathematik.uni-stuttgart.de
