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ORCIDFelix Schindler
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2020 – today
- 2024
[i11]Tim Keil, Mario Ohlberger, Felix Schindler, Julia Schleuß:
Local training and enrichment based on a residual localization strategy. CoRR abs/2404.16537 (2024)- 2023
- [j3]Bernard Haasdonk, Hendrik Kleikamp
, Mario Ohlberger, Felix Schindler, Tizian Wenzel:
A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs. SIAM J. Sci. Comput. 45(3): 1039-1065 (2023) - [c4]Tim Keil, Mario Ohlberger, Felix Schindler:
Adaptive Localized Reduced Basis Methods for Large Scale PDE-Constrained Optimization. LSSC 2023: 108-116 - [c3]Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler:
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. LSSC 2023: 117-125 - [i10]Tizian Wenzel, Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler:
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling. CoRR abs/2302.14526 (2023) - [i9]Tim Keil, Mario Ohlberger, Felix Schindler:
Adaptive Localized Reduced Basis Methods for Large Scale Parameterized Systems. CoRR abs/2303.03074 (2023) - 2022
- [i8]Daria Fokina, Oleg Iliev, Pavel Toktaliev, Ivan V. Oseledets, Felix Schindler:
On the Performance of Machine Learning Methods for Breakthrough Curve Prediction. CoRR abs/2204.11719 (2022) - [i7]Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler, Tizian Wenzel:
A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs. CoRR abs/2204.13454 (2022) - 2021
- [c2]Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef:
A Full Order, Reduced Order and Machine Learning Model Pipeline for Efficient Prediction of Reactive Flows. LSSC 2021: 378-386 - [i6]Pavel Gavrilenko, Bernard Haasdonk, Oleg Iliev, Mario Ohlberger, Felix Schindler, Pavel Toktaliev, Tizian Wenzel, Maha Youssef:
A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows. CoRR abs/2104.02800 (2021) - [i5]Bernard Haasdonk, Mario Ohlberger, Felix Schindler:
An adaptive model hierarchy for data-augmented training of kernel models for reactive flow. CoRR abs/2110.12388 (2021) - 2020
- [i4]Tim Keil, Luca Mechelli, Mario Ohlberger, Felix Schindler, Stefan Volkwein:
A non-conforming dual approach for adaptive Trust-Region Reduced Basis approximation of PDE-constrained optimization. CoRR abs/2006.09297 (2020) - [i3]Stefan Banholzer, Tim Keil, Luca Mechelli, Mario Ohlberger, Felix Schindler, Stefan Volkwein:
An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization. CoRR abs/2012.11653 (2020)
2010 – 2019
- 2016
- [j2]René Milk, Stephan Rave, Felix Schindler:
pyMOR - Generic Algorithms and Interfaces for Model Order Reduction. SIAM J. Sci. Comput. 38(5) (2016) - [i2]Tobias Leibner, René Milk, Felix Schindler:
Extending DUNE: The dune-xt modules. CoRR abs/1602.08991 (2016) - 2015
- [j1]Mario Ohlberger, Felix Schindler:
Error Control for the Localized Reduced Basis Multiscale Method with Adaptive On-Line Enrichment. SIAM J. Sci. Comput. 37(6) (2015) - [c1]Mario Ohlberger, Stephan Rave, Felix Schindler:
Model Reduction for Multiscale Lithium-Ion Battery Simulation. ENUMATH 2015: 317-331 - [i1]René Milk, Stephan Rave, Felix Schindler:
pyMOR - Generic Algorithms and Interfaces for Model Order Reduction. CoRR abs/1506.07094 (2015)
Coauthor Index
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