A non-conforming dual approach for adaptive Trust-Region reduced basis approximation of PDE-constrained parameter optimization
ESAIM: M2AN, 55 3 (2021) 1239-1269
Published online: 2021-06-08
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs
Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler and Tizian WenzelSIAM Journal on Scientific Computing 45 (3) A1039 (2023)
https://doi.org/10.1137/22M1493318
Parameter identification and state estimation for nuclear reactor operation digital twin
Helin Gong, Tao Zhu, Zhang Chen, Yaping Wan and Qing LiAnnals of Nuclear Energy 180 109497 (2023)
https://doi.org/10.1016/j.anucene.2022.109497
A globally convergent method to accelerate large-scale optimization using on-the-fly model hyperreduction: Application to shape optimization
Tianshu Wen and Matthew J. ZahrJournal of Computational Physics 484 112082 (2023)
https://doi.org/10.1016/j.jcp.2023.112082
Parallelized POD-based suboptimal economic model predictive control of a state-constrained Boussinesq approximation
Julian Andrej, Lars Grüne, Luca Mechelli, et al.Computers & Mathematics with Applications 116 71 (2022)
https://doi.org/10.1016/j.camwa.2021.09.004
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 OhlbergerAdvances in Computational Mathematics 48 (6) (2022)
https://doi.org/10.1007/s10444-022-09981-z
Large-Scale Scientific Computing
Tim Keil and Mario OhlbergerLecture Notes in Computer Science, Large-Scale Scientific Computing 13127 16 (2022)
https://doi.org/10.1007/978-3-030-97549-4_2
A Trust Region Reduced Basis Pascoletti-Serafini Algorithm for Multi-Objective PDE-Constrained Parameter Optimization
Stefan Banholzer, Luca Mechelli and Stefan VolkweinMathematical and Computational Applications 27 (3) 39 (2022)
https://doi.org/10.3390/mca27030039
Trust-Region RB Methods for PDE-Constrained Optimization and Optimal Input Design
Andrea Petrocchi, Matthias K. Scharrer and Stefan VolkweinIFAC-PapersOnLine 55 (26) 149 (2022)
https://doi.org/10.1016/j.ifacol.2022.10.392