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math.OC2024
Neural Network Approaches for Parameterized Optimal Control
Deepanshu Verma, Nick Winovich, Lars Ruthotto +1
We consider numerical approaches for deterministic, finite-dimensional optimal control problems whose dynamics depend on unknown or uncertain parameters. We seek to amortize the so…
math.NA2024
Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior Optimal Solution Sampling
Joseph Hart, Bart van Bloemen Waanders
Optimization constrained by high-fidelity computational models has potential for transformative impact. However, such optimization is frequently unattainable in practice due to the…