Mario Ohlberger

78 papers Journal 65Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-fidelity learning of reduced order models for parabolic PDE constrained optimization. Adv. Comput. Math. Benedikt Klein, Mario Ohlberger
2025	J	`jnl`	A Parareal Algorithm with Spectral Coarse Solver. CoRR Martin J. Gander, Mario Ohlberger, Stephan Rave
2025	J	`jnl`	Adaptive Reduced Basis Trust Region Methods for Parabolic Inverse Problems. CoRR Michael Kartmann, Benedikt Klein, Mario Ohlberger, Thomas Schuster, Stefan Volkwein
2025	J	`jnl`	Improving Interoperability in Scientific Computing via MaRDI Open Interfaces. CoRR Dmitry I. Kabanov, Stephan Rave, Mario Ohlberger
2025	J	`jnl`	Multi-fidelity Learning of Reduced Order Models for Parabolic PDE Constrained Optimization. CoRR Benedikt Klein, Mario Ohlberger
2025	J	`jnl`	Sectional Kolmogorov N-widths for parameter-dependent function spaces: A general framework with application to parametrized Friedrichs' systems. CoRR Christian Engwer, Mario Ohlberger, Lukas Renelt
2024	J	`jnl`	A Parareal algorithm without Coarse Propagator? CoRR Martin J. Gander, Mario Ohlberger, Stephan Rave
2024	J	`jnl`	Adaptive Model Hierarchies for Multi-Query Scenarios. CoRR Hendrik Kleikamp, Mario Ohlberger
2024	J	`jnl`	Construction of local reduced spaces for Friedrichs' systems via randomized training. CoRR Christian Engwer, Mario Ohlberger, Lukas Renelt
2024	J	`jnl`	Local training and enrichment based on a residual localization strategy. CoRR Tim Keil, Mario Ohlberger, Felix Schindler, Julia Schleuß
2024	J	`jnl`	Model Order Reduction of an Ultraweak and Optimally Stable Variational Formulation for Parametrized Reactive Transport Problems. SIAM J. Sci. Comput. Christian Engwer, Mario Ohlberger, Lukas Renelt
2023	J	`jnl`	A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs. SIAM J. Sci. Comput. Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel
2023	—	`conf`	Adaptive Localized Reduced Basis Methods for Large Scale PDE-Constrained Optimization. LSSC Tim Keil, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Adaptive Localized Reduced Basis Methods for Large Scale Parameterized Systems. CoRR Tim Keil, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Adaptive Reduced Basis Trust Region Methods for Parameter Identification Problems. CoRR Michael Kartmann, Tim Keil, Mario Ohlberger, Stefan Volkwein, Barbara Kaltenbacher
2023	J	`jnl`	An optimally stable approximation of reactive transport using discrete test and infinite trial spaces. CoRR Lukas Renelt, Mario Ohlberger, Christian Engwer
2023	—	`conf`	Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. LSSC Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. CoRR Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler
2023	J	`jnl`	Model order reduction of an ultraweak and optimally stable variational formulation for parametrized reactive transport problems. CoRR Christian Engwer, Mario Ohlberger, Lukas Renelt
2022	J	`jnl`	A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs. CoRR Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel
2022	J	`jnl`	A relaxed localized trust-region reduced basis approach for optimization of multiscale problems. CoRR Tim Keil, Mario Ohlberger
2022	J	`jnl`	Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. CoRR Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola, Mario Ohlberger
2022	J	`jnl`	Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. Adv. Comput. Math. Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola, Mario Ohlberger
2022	J	`jnl`	Nonlinear Model Order Reduction using Diffeomorphic Transformations of a Space-Time Domain. CoRR Hendrik Kleikamp, Mario Ohlberger, Stephan Rave
2021	—	`conf`	A Full Order, Reduced Order and Machine Learning Model Pipeline for Efficient Prediction of Reactive Flows. LSSC Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef
2021	J	`jnl`	A Modeling Framework for Efficient Reduced Order Simulations of Parametrized Lithium-Ion Battery Cells. CoRR Manuel Landstorfer, Mario Ohlberger, Stephan Rave, Marie Tacke
2021	J	`jnl`	A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows. CoRR Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef
2021	J	`jnl`	An adaptive model hierarchy for data-augmented training of kernel models for reactive flow. CoRR Bernard Haasdonk, Mario Ohlberger, Felix Schindler
2021	J	`jnl`	Distributed model order reduction of a model for microtubule-based cell polarization using HAPOD. CoRR Tobias Leibner, Maja Matis, Mario Ohlberger, Stephan Rave
2021	—	`conf`	Model Reduction for Large Scale Systems. LSSC Tim Keil, Mario Ohlberger
2021	J	`jnl`	Model Reduction for Large Scale Systems. CoRR Tim Keil, Mario Ohlberger
2021	J	`jnl`	The Dune framework: Basic concepts and recent developments. Comput. Math. Appl. Peter Bastian, Markus Blatt, Andreas Dedner, Nils-Arne Dreier, Christian Engwer, René Fritze, Carsten Gräser, Christoph Grüninger, Dominic Kempf, Robert Klöfkorn, Mario Ohlberger, Oliver Sander
2020	J	`jnl`	A new coordinate-transformed discretization method for minimum entropy moment approximations of linear kinetic equations. CoRR Tobias Leibner, Mario Ohlberger
2020	J	`jnl`	A non-conforming dual approach for adaptive Trust-Region Reduced Basis approximation of PDE-constrained optimization. CoRR Tim Keil, Luca Mechelli, Mario Ohlberger, Felix Schindler, Stefan Volkwein
2020	J	`jnl`	An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization. CoRR Stefan Banholzer, Tim Keil, Luca Mechelli, Mario Ohlberger, Felix Schindler, Stefan Volkwein
2020	—	`ch.`	Exa-Dune - Flexible PDE Solvers, Numerical Methods and Applications. Software for Exascale Computing Peter Bastian, Mirco Altenbernd, Nils-Arne Dreier, Christian Engwer, Jorrit Fahlke, René Fritze, Markus Geveler, Dominik Göddeke, Oleg Iliev, Olaf Ippisch, Jan Mohring, Steffen Müthing, Mario Ohlberger, Dirk Ribbrock, Nikolay Shegunov, Stefan Turek
2020	J	`jnl`	Mathematical analysis of transmission properties of electromagnetic meta-materials. Networks Heterog. Media Mario Ohlberger, Ben Schweizer, Maik Urban, Barbara Verfürth
2019	J	`jnl`	A hierarchical a posteriori error estimator for the Reduced Basis Method. Adv. Comput. Math. Stefan Hain, Mario Ohlberger, Mladjan Radic, Karsten Urban
2019	J	`jnl`	Exa-Dune - Flexible PDE Solvers, Numerical Methods and Applications. CoRR Peter Bastian, Mirco Altenbernd, Nils-Arne Dreier, Christian Engwer, Jorrit Fahlke, René Fritze, Markus Geveler, Dominik Göddeke, Oleg Iliev, Olaf Ippisch, Jan Mohring, Steffen Müthing, Mario Ohlberger, Dirk Ribbrock, Nikolay Shegunov, Stefan Turek
2019	J	`jnl`	MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction. J. Comput. Sci. Julian Feinauer, Simon Hein, Stephan Rave, Sebastian Schmidt, Daniel Westhoff, Jochen Zausch, Oleg Iliev, Arnulf Latz, Mario Ohlberger, Volker Schmidt
2019	J	`jnl`	The DUNE Framework: Basic Concepts and Recent Developments. CoRR Peter Bastian, Markus Blatt, Andreas Dedner, Nils-Arne Dreier, Christian Engwer, René Fritze, Carsten Gräser, Dominic Kempf, Robert Klöfkorn, Mario Ohlberger, Oliver Sander
2018	J	`jnl`	A New Heterogeneous Multiscale Method for the Helmholtz Equation with High Contrast. Multiscale Model. Simul. Mario Ohlberger, Barbara Verfürth
2017	J	`jnl`	ArbiLoMod, a Simulation Technique Designed for Arbitrary Local Modifications. SIAM J. Sci. Comput. Andreas Buhr, Christian Engwer, Mario Ohlberger, Stephan Rave
2016	J	`jnl`	A New Heterogeneous Multiscale Method for Time-Harmonic Maxwell's Equations. SIAM J. Numer. Anal. Patrick Henning, Mario Ohlberger, Barbara Verfürth
2016	—	`ch.`	Advances Concerning Multiscale Methods and Uncertainty Quantification in EXA-DUNE. Software for Exascale Computing Peter Bastian, Christian Engwer, Jorrit Fahlke, Markus Geveler, Dominik Göddeke, Oleg P. Iliev, Olaf Ippisch, René Milk, Jan Mohring, Steffen Müthing, Mario Ohlberger, Dirk Ribbrock, Stefan Turek
2016	J	`jnl`	Approximation of skewed interfaces with tensor-based model reduction procedures: Application to the reduced basis hierarchical model reduction approach. J. Comput. Phys. Mario Ohlberger, Kathrin Smetana
2016	—	`ch.`	Hardware-Based Efficiency Advances in the EXA-DUNE Project. Software for Exascale Computing Peter Bastian, Christian Engwer, Jorrit Fahlke, Markus Geveler, Dominik Göddeke, Oleg P. Iliev, Olaf Ippisch, René Milk, Jan Mohring, Steffen Müthing, Mario Ohlberger, Dirk Ribbrock, Stefan Turek
2015	J	`jnl`	A Note on the Cross Gramian for Non-Symmetric Systems. CoRR Christian Himpe, Mario Ohlberger
2015	J	`jnl`	Data-driven combined state and parameter reduction for inverse problems. Adv. Comput. Math. Christian Himpe, Mario Ohlberger
2015	J	`jnl`	Error Control for the Localized Reduced Basis Multiscale Method with Adaptive On-Line Enrichment. SIAM J. Sci. Comput. Mario Ohlberger, Felix Schindler
2015	—	`conf`	Model Reduction for Multiscale Lithium-Ion Battery Simulation. ENUMATH Mario Ohlberger, Stephan Rave, Felix Schindler
2015	J	`jnl`	Model order reduction of parameterized systems (MoRePaS) - Preface to the special issue of advances in computational mathematics. Adv. Comput. Math. Peter Benner, Mario Ohlberger, Anthony T. Patera, Gianluigi Rozza, Danny C. Sorensen, Karsten Urban
2015	—	`conf`	Uncertainty Quantification for Porous Media Flow Using Multilevel Monte Carlo. LSSC Jan Mohring, René Milk, Adrian Ngo, Ole Klein, Oleg Iliev, Mario Ohlberger, Peter Bastian
2014	J	`jnl`	A Dimensional Reduction Approach Based on the Application of Reduced Basis Methods in the Framework of Hierarchical Model Reduction. SIAM J. Sci. Comput. Mario Ohlberger, Kathrin Smetana
2014	J	`jnl`	An Adaptive Multiscale Finite Element Method. Multiscale Model. Simul. Patrick Henning, Mario Ohlberger, Ben Schweizer
2014	J	`jnl`	Approximation of skewed interfaces with tensor-based model reduction procedures: application to the reduced basis hierarchical model reduction approach. CoRR Mario Ohlberger, Kathrin Smetana
2014	—	`conf`	EXA-DUNE: Flexible PDE Solvers, Numerical Methods and Applications. Euro-Par Workshops (2) Peter Bastian, Christian Engwer, Dominik Göddeke, Oleg Iliev, Olaf Ippisch, Mario Ohlberger, Stefan Turek, Jorrit Fahlke, Sven Kaulmann, Steffen Müthing, Dirk Ribbrock
2014	—	`conf`	Model reduction for complex hyperbolic networks. ECC Christian Himpe, Mario Ohlberger
2013	J	`jnl`	A Unified Software Framework for Empirical Gramians. CoRR Christian Himpe, Mario Ohlberger
2013	J	`jnl`	Cross-Gramian Based Combined State and Parameter Reduction CoRR Christian Himpe, Mario Ohlberger
2012	J	`jnl`	Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation. SIAM J. Sci. Comput. Martin Drohmann, Bernard Haasdonk, Mario Ohlberger
2010	J	`jnl`	A New Level Set Method for Motion in Normal Direction Based on a Semi-Implicit Forward-Backward Diffusion Approach. SIAM J. Sci. Comput. Karol Mikula, Mario Ohlberger
2010	J	`jnl`	A generic interface for parallel and adaptive discretization schemes: abstraction principles and the Dune-Fem module. Computing Andreas Dedner, Robert Klöfkorn, Martin Nolte, Mario Ohlberger
2010	J	`jnl`	The heterogeneous multiscale finite element method for advection-diffusion problems with rapidly oscillating coefficients and large expected drift. Networks Heterog. Media Patrick Henning, Mario Ohlberger
2009	J	`jnl`	The heterogeneous multiscale finite element method for elliptic homogenization problems in perforated domains. Numerische Mathematik Patrick Henning, Mario Ohlberger
2008	J	`jnl`	A generic grid interface for parallel and adaptive scientific computing. Part I: abstract framework. Computing Peter Bastian, Markus Blatt, Andreas Dedner, Christian Engwer, Robert Klöfkorn, Mario Ohlberger, Oliver Sander
2008	J	`jnl`	A generic grid interface for parallel and adaptive scientific computing. Part II: implementation and tests in DUNE. Computing Peter Bastian, Markus Blatt, Andreas Dedner, Christian Engwer, Robert Klöfkorn, Ralf Kornhuber, Mario Ohlberger, Oliver Sander
2007	J	`jnl`	Error Control for a Class of Runge-Kutta Discontinuous Galerkin Methods for Nonlinear Conservation Laws. SIAM J. Numer. Anal. Andreas Dedner, Charalambos G. Makridakis, Mario Ohlberger
2006	J	`jnl`	Error estimate for the approximation of nonlinear conservation laws on bounded domains by the finite volume method. Math. Comput. Mario Ohlberger, Julien Vovelle
2005	J	`jnl`	A Posteriori Error Estimates for the Heterogeneous Multiscale Finite Element Method for Elliptic Homogenization Problems. Multiscale Model. Simul. Mario Ohlberger
2003	J	`jnl`	Multiresolution Visualization of Higher Order Adaptive Finite Element Simulations. Computing Bernard Haasdonk, Mario Ohlberger, Martin Rumpf, Alfred Schmidt, Kunibert G. Siebert
2001	J	`jnl`	A posteriori error estimate for finite volume approximations to singularly perturbed nonlinear convection-diffusion equations. Numerische Mathematik Mario Ohlberger
2000	J	`jnl`	A posteriori error estimates for upwind finite volume schemes for nonlinear conservation laws in multi dimensions. Math. Comput. Dietmar Kröner, Mario Ohlberger
1999	J	`jnl`	Adaptive Projection Operators in Multiresolution Scientific Visualization. IEEE Trans. Vis. Comput. Graph. Mario Ohlberger, Martin Rumpf
1999	—	`ed.`	An Introduction to Recent Developments in Theory and Numerics for Conservation Laws: Proceedings of the International School on Theory and Numerics for Conservation Laws, Freiburg/Littenweiler, Germany, October 20-24, 1997 Theory and Numerics for Conservation Laws Dietmar Kröner, Mario Ohlberger, Christian Rohde
1998	J	`jnl`	Adaptive Projection Operators in Multiresolution Scientific Visualization. IEEE Trans. Vis. Comput. Graph. Mario Ohlberger, Martin Rumpf
1997	—	`conf`	Efficient Visualization of Large - Scale Data on Hierarchical Meshes. Visualization in Scientific Computing R. Neubauer, Mario Ohlberger, Martin Rumpf, R. Schwörer
1997	J	`jnl`	Hierarchical and Adaptive Visualization on Nested Grids. Computing Mario Ohlberger, Martin Rumpf