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Adaptive Localized Reduced Basis Methods for Large Scale PDE-Constrained Optimization.

, , and . LSSC, volume 13952 of Lecture Notes in Computer Science, page 108-116. Springer, (2023)

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Error Control for the Localized Reduced Basis Multiscale Method with Adaptive On-Line Enrichment., and . SIAM J. Sci. Comput., (2015)pyMOR 0.3.0, , , , , and . (Mar 2, 2015)A Full Order, Reduced Order and Machine Learning Model Pipeline for Efficient Prediction of Reactive Flows., , , , , , , and . LSSC, volume 13127 of Lecture Notes in Computer Science, page 378-386. Springer, (2021)pyMOR - Generic Algorithms and Interfaces for Model Order Reduction, , and . (2015)cite arxiv:1506.07094.Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling., , , , and . LSSC, volume 13952 of Lecture Notes in Computer Science, page 117-125. Springer, (2023)pyMOR—Generic Algorithms and Interfaces for Model Order Reduction, , and . SIAM Journal on Scientific Computing, 38 (5): S194--S216 (January 2016)Model Reduction for Multiscale Lithium-Ion Battery Simulation., , and . ENUMATH, volume 112 of Lecture Notes in Computational Science and Engineering, page 317-331. Springer, (2015)An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization., , , , , and . CoRR, (2020)Local training and enrichment based on a residual localization strategy., , , and . CoRR, (2024)Adaptive Localized Reduced Basis Methods for Large Scale PDE-Constrained Optimization., , and . LSSC, volume 13952 of Lecture Notes in Computer Science, page 108-116. Springer, (2023)