The framework uses Rockafellian relaxation to unify distributionally robust and optimistic optimization for risk-averse PDE-constrained problems.
Airaudo, Harbir Antil, and Rainald L¨ ohner,Conditional value at risk for damage identification in structural digital twins, Finite Elements in Analysis and Design245(2025), 104316
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Risk-averse optimization under distributional uncertainty with Rockafellian relaxation
The framework uses Rockafellian relaxation to unify distributionally robust and optimistic optimization for risk-averse PDE-constrained problems.