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An Augmented Lagrangian Trust‐Region Method With Inexact Gradient Evaluations to Accelerate Constrained Optimization Problems Using Model Hyperreduction
Tianshu Wen and Matthew J. Zahr International Journal for Numerical Methods in Fluids 97(4) 621 (2025) https://doi.org/10.1002/fld.5363
Adaptive reduced basis trust region methods for parameter identification problems
Michael Kartmann, Tim Keil, Mario Ohlberger, Stefan Volkwein and Barbara Kaltenbacher Computational Science and Engineering 1(1) (2024) https://doi.org/10.1007/s44207-024-00002-z
A relaxed localized trust-region reduced basis approach for optimization of multiscale problems
A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs
Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler and Tizian Wenzel SIAM Journal on Scientific Computing 45(3) A1039 (2023) https://doi.org/10.1137/22M1493318
Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola and Mario Ohlberger Advances in Computational Mathematics 48(6) (2022) https://doi.org/10.1007/s10444-022-09981-z