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09/14/2023
Adaptive Reduced Basis Trust Region Methods for Parameter Identification Problems
In this contribution, we are concerned with model order reduction in the...
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03/06/2023
Adaptive Localized Reduced Basis Methods for Large Scale Parameterized Systems
In this contribution, we introduce and numerically evaluate a certified ...
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11/17/2022
Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization
This thesis presents recent advances in model order reduction methods wi...
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11/17/2022
A Super-Localized Generalized Finite Element Method
This paper presents a novel multi-scale method for elliptic partial diff...
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03/18/2022
A relaxed localized trust-region reduced basis approach for optimization of multiscale problems
In this contribution, we introduce and analyze a new relaxed and localiz...
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03/03/2022
Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
In this contribution, we develop an efficient surrogate modeling framewo...
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11/16/2021
An Online Efficient Two-Scale Reduced Basis Approach for the Localized Orthogonal Decomposition
We are concerned with employing Model Order Reduction (MOR) to efficient...
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05/04/2021
Model Reduction for Large Scale Systems
Projection based model order reduction has become a mature technique for...
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12/21/2020
An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization
In this contribution we device and analyze improved variants of the non-...
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06/16/2020
A non-conforming dual approach for adaptive Trust-Region Reduced Basis approximation of PDE-constrained optimization
In this contribution we propose and rigorously analyze new variants of a...
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08/01/2019