Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty

Published: 2019, Last Modified: 14 May 2025J. Comput. Phys. 2019EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A computational framework to solve PDE-constrained optimization under uncertainty.•Exploring the intrinsic dimensionality of the control objective in parameter space.•Taylor approximation based control variate for variance reduction.•Lagrangian formulation for eigenvalue problem constrained optimization.
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