A Stochastic Gradient Method With Mesh Refinement for PDE-Constrained Optimization Under Uncertainty
Author:
Funder
Austrian Science Fund
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,Computational Mathematics
Link
https://epubs.siam.org/doi/pdf/10.1137/19M1263297
Reference25 articles.
1. Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations
2. Multilevel Monte Carlo Analysis for Optimal Control of Elliptic PDEs with Random Coefficients
3. A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
4. Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations
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