• 2020
• 2019
• 2018
• 2017
• 2016
• 2014
• 2013
• 2012
• 2007

2020

• Bansal H, Rave S, Iapichino L, Schilders WHA, van de Wouw N. 2020. ‘Model order reduction framework for problems with moving discontinuities.’ Contributed to the Proceedings of ENUMATH 2019, Egmond aan Zee. [In Press]
• Mlinarić P, Rave S, Saak J. 2020. ‘Parametric model order reduction using pyMOR.’ Contributed to the MODRED 2019, Graz. [Accepted]
• Rave S, Saak J. 2020. ‘A Non-stationary Thermal-Block Benchmark Model for Parametric Model Order Reduction.’ Contributed to the ENUMATH 2019, Graz. [Accepted]

2019

• Balicki L, Mlinarić P, Rave S, Saak J. 2019. ‘System-theoretic model order reduction with pyMOR.’ PAMM 19. doi: 10.1002/pamm.201900459.
• Buhr Andreas, Iapichino Laura, Ohlberger Mario, Rave Stephan, Schindler Felix, Smetana Kathrin. 2019. ‘Localized model reduction for parameterized problems.’ In Handbook on Model Order Reduction, edited by Benner P, Grivet-Talocia S, Quarteroni A, Rozza G, Schilders W, Sileira L, 51. [Accepted]
• Fehr J, Himpe C, Rave S, Saak J. 2019. ‘Sustainable Research Software Hand-Over.’ arXiv 2019. [Submitted]
• Feinauer J, Hein S, Rave S, Schmidt S, Westhoff D, Zausch J, Iliev O, Latz A, Ohlberger M, Schmidt V. 2019. ‘MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction.’ Journal of Computational Science 31: 172-184. doi: 10.1016/j.jocs.2018.03.006.
• Lehrenfeld Christoph, Rave Stephan. 2019. ‘Mass Conservative Reduced Order Modeling of a Free Boundary Osmotic Cell Swelling Problem.’ Advances in Computational Mathematics 45, No. 5: 2215-2239. doi: 10.1007/s10444-019-09691-z.
• Ohlberger M, Buhr A, Eikhorn D, Engwer C, Rave S. 2019. ‘Advances in Model Order Reduction for Large Scale or Multi-Scale Problems.’ Oberwolfach Reports 2019, No. 40: 38-40. doi: 10.4171/OWR/2019/40. [In Press]
• Rave Stephan, Schindler Felix. 2019. ‘A locally conservative reduced flux reconstruction for elliptic problems.’ In Special Issue: 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), edited by Eberhardsteiner J, Schöberl M.: Wiley. doi: 10.1002/pamm.201900026.

2018

• Himpe C, Leibner T, Rave S. 2018. ‘Hierarchical Approximate Proper Orthogonal Decomposition.’ SIAM J. Sci. Comput. 40, No. 5: A3267-A3292.
• Ohlberger Mario, Rave Stephan, Schindler Felix, Wedemeier Tobias. 2018. ‘Model reduction for parameterized systems and inverse problems.’ Oberwolfach Reports 2018, No. 39: 2454-2457. doi: 10.4171/OWR/2018/39.

2017

• Buhr A, Engwer C, Ohlberger M, Rave S. 2017. ‘ArbiLoMod, a Simulation Technique Designed for Arbitrary Local Modifications.’ SIAM J. Sci. Comput. 39, No. 4: A1435–A1465. doi: 10.1137/15M1054213.
• Buhr A, Engwer C, Ohlberger M, Rave S. 2017. ‘ArbiLoMod: Local Solution Spaces by Random Training in Electrodynamics.’ In Model Reduction of Parametrized Systems, edited by Benner P., Ohlberger M., Patera A., Rozza G., Urban K., 137-148. Cham: Springer International Publishing. doi: 10.1007/978-3-319-58786-8_9.
• Himpe Christian, Leibner Tobias, Rave Stephan, Saak Jens. 2017. ‘Fast Low-Rank Empirical Cross Gramians.’ PAMM 17, No. 1: 841-842. doi: 10.1002/pamm.201710388.
• Ohlberger M, Rave S. 2017. ‘Localized Reduced Basis Approximation of a Nonlinear Finite Volume Battery Model with Resolved Electrode Geometry.’ In Model Reduction of Parametrized Systems, edited by Benner P., Ohlberger M., Patera A., Rozza G., Urban K., 201-212. Cham: Springer International Publishing. doi: 10.1007/978-3-319-58786-8_13.
• Ohlberger M, Rave S, Schindler F. 2017. ‘True Error Control for the Localized Reduced Basis Method for Parabolic Problems.’ In Model Reduction of Parametrized Systems, edited by Benner P., Ohlberger M., Patera A., Rozza G., Urban K., 169-182. Cham: Springer International Publishing. doi: 10.1007/978-3-319-58786-8_11.

2016

• Milk R, Rave S, Schindler F. 2016. ‘pyMOR - Generic algorithms and interfaces for model order reduction.’ SIAM Journal on Scientific Computing 38, No. 5: 194-216. doi: 10.1137/15M1026614.
• Ohlberger M, Rave S. 2016. ‘Reduced Basis Methods: Success, Limitations and Future Challenges.’ In roceedings of ALGORITMY 2016, 20th Conference on Scientific Computing, Vysoke Tatry, Podbanske, Slovakia, March 13-18, 2016, edited by A. Handlovičova and D. Sevčovič, 1-12. Bratislava: Publishing House of Slovak University of Technology in Bratislava.
• Ohlberger M, Rave S, Schindler F. 2016. ‘Model Reduction for Multiscale Lithium-Ion Battery Simulation.’ In Numerical Mathematics and Advanced Applications ENUMATH 2015, edited by Karasözen B, Manguoğlu M, Teuer-Sezgin M, Göktepe S, Uğur Ö, 317-331.: Springer. doi: 10.1007/978-3-319-39929-4_31.
• Ohlberger M, Rave S, Schindler F. 2016. ‘Adaptive Localized Model Reduction.’ Oberwolfach Reports 13, No. 3: 2406-2409. doi: 10.4171/OWR/2016/42.

2014

• Buhr A, Engwer C, Ohlberger M, Rave S. 2014. ‘A Numerically Stable A Posteriori Error Estimator for Reduced Basis Approximations of Elliptic Equations.’ In 11th World Congress on Computational Mechanics, WCCM 2014, 5th European Conference on Computational Mechanics, ECCM 2014 and 6th European Conference on Computational Fluid Dynamics, ECFD 2014, edited by E. Onate XO, Huerta A, 4094-4102.: CIMNE, Barcelona.
• Ohlberger M, Rave S, Schmidt S, Zhang S. 2014. ‘A Model Reduction Framework for Efficient Simulation of Li-Ion Batteries.’ In Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems, edited by Fuhrmann J, Ohlberger M, Rohde C, 695-702.: Springer. doi: 10.1007/978-3-319-05591-6_69.

2013

• Ohlberger M, Rave S. 2013. ‘Nonlinear reduced basis approximation of parameterized evolution equations via the method of freezing.’ C. R. Acad. Sci. Paris, Ser. I 351: 901-906. doi: 10.1016/j.crma.2013.10.028.

2012

• Rave S. 2012. On Finitely Summable K-Homology Doctoral Thesis, Universität Münster.

2007

• Rave S. 2007. Über die Entscheidbarkeit gewisser Prädikate in der Theorie der C*-Algebren. Münster.