3 citations · 3 across the 2 of their papers we have counts for
3 papers
math.NA2022★ 3 cited
Adaptive Reduced Basis Methods for Multiscale Problems and Large-scale PDE-constrained Optimization
Tim Keil
This thesis presents recent advances in model order reduction methods with the primary aim to construct online-efficient reduced surrogate models for parameterized multiscale pheno…
math.NA2022
Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
Tim Keil, Hendrik Kleikamp, Rolf J Lorentzen +2
In this contribution, we develop an efficient surrogate modeling framework for simulation-based optimization of enhanced oil recovery, where we particularly focus on polymer floodi…
math.NA2019
Numerical upscaling of perturbed diffusion problems
Fredrik Hellman, Tim Keil, Axel Målqvist
In this paper we study elliptic partial differential equations with rapidly varying diffusion coefficient that can be represented as a perturbation of a reference coefficient. We d…