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Cited article:

Deep orthogonal decomposition: a continuously adaptive neural network approach to model order reduction of parametrized partial differential equations

Nicola Rares Franco, Andrea Manzoni, Paolo Zunino and Jan S. Hesthaven
Advances in Computational Mathematics 52 (3) (2026)
https://doi.org/10.1007/s10444-026-10295-7

Multi-fidelity learning of reduced order models for parabolic PDE constrained optimization

Benedikt Klein and Mario Ohlberger
Advances in Computational Mathematics 52 (2) (2026)
https://doi.org/10.1007/s10444-026-10296-6

Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems

Hendrik Kleikamp, Martin Lazar and Cesare Molinari
ESAIM: Mathematical Modelling and Numerical Analysis 59 (1) 291 (2025)
https://doi.org/10.1051/m2an/2024074

Two-Stage Model Reduction Approaches for the Efficient and Certified Solution of Parametrized Optimal Control Problems

Hendrik Kleikamp and Lukas Renelt
Journal of Scientific Computing 104 (3) (2025)
https://doi.org/10.1007/s10915-025-02988-w