3 citations · 8 across the 5 of their papers we have counts for
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math.NA2023★ 3 cited
Adaptive choice of near-optimal expansion points for interpolation-based structure-preserving model reduction
Quirin Aumann, Steffen W. R. Werner
Interpolation-based methods are well-established and effective approaches for the efficient generation of accurate reduced-order surrogate models. Common challenges for such method…
math.NA2023★ 3 cited
Practical challenges in data-driven interpolation: dealing with noise, enforcing stability, and computing realizations
Quirin Aumann, Ion Victor Gosea
In this contribution, we propose a detailed study of interpolation-based data-driven methods that are of relevance in the model reduction and also in the systems and control commun…