Sparse Grid Collocation Method for an Optimal Control Problem Involving a Stochastic Partial Differential Equation with Random Inputs
Year: 2014
East Asian Journal on Applied Mathematics, Vol. 4 (2014), Iss. 2 : pp. 166–188
Abstract
In this article, we propose and analyse a sparse grid collocation method to solve an optimal control problem involving an elliptic partial differential equation with random coefficients and forcing terms. The input data are assumed to be dependent on a finite number of random variables. We prove that an optimal solution exists, and derive an optimality system. A Galerkin approximation in physical space and a sparse grid collocation in the probability space is used. Error estimates for a fully discrete solution using an appropriate norm are provided, and we analyse the computational efficiency. Computational evidence complements the present theory, to show the effectiveness of our stochastic collocation method.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/eajam.041013.180314a
East Asian Journal on Applied Mathematics, Vol. 4 (2014), Iss. 2 : pp. 166–188
Published online: 2014-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 23
Keywords: Sparse grid collocation stochastic partial differential equation distributed control finite element methods.
-
Comparison of approaches for random PDE optimization problems based on different matching functionals
Lee, Hyung-Chun | Gunzburger, Max D.Computers & Mathematics with Applications, Vol. 73 (2017), Iss. 8 P.1657
https://doi.org/10.1016/j.camwa.2017.02.002 [Citations: 11] -
Distributed Control of the Stochastic Burgers Equation with Random Input Data
Lee, Hyung-Chun | Nam, YunEast Asian Journal on Applied Mathematics, Vol. 6 (2016), Iss. 1 P.89
https://doi.org/10.4208/eajam.180615.080116a [Citations: 0]