A Multilevel Monte Carlo Approach for a Stochastic Optimal Control Problem Based on the Gradient Projection Method

A multilevel Monte Carlo (MLMC) method is applied to simulate a stochastic optimal problem based on the gradient projection method. In the numerical simulation of the stochastic optimal control problem, the approximation of expected value is involved, and the MLMC method is used to address it. The c...

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Main Authors: Changlun Ye, Xianbing Luo
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:AppliedMath
Subjects:
Online Access:https://www.mdpi.com/2673-9909/3/1/8
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author Changlun Ye
Xianbing Luo
author_facet Changlun Ye
Xianbing Luo
author_sort Changlun Ye
collection DOAJ
description A multilevel Monte Carlo (MLMC) method is applied to simulate a stochastic optimal problem based on the gradient projection method. In the numerical simulation of the stochastic optimal control problem, the approximation of expected value is involved, and the MLMC method is used to address it. The computational cost of the MLMC method and the convergence analysis of the MLMC gradient projection algorithm are presented. Two numerical examples are carried out to verify the effectiveness of our method.
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spelling doaj.art-7a9364403e804ac8b9c63817d633d0072023-11-17T09:20:04ZengMDPI AGAppliedMath2673-99092023-02-01319811610.3390/appliedmath3010008A Multilevel Monte Carlo Approach for a Stochastic Optimal Control Problem Based on the Gradient Projection MethodChanglun Ye0Xianbing Luo1South Huaxi Avenue, School of Mathematics and Statistics, Guizhou University, No. 2708, Guiyang 550025, ChinaSouth Huaxi Avenue, School of Mathematics and Statistics, Guizhou University, No. 2708, Guiyang 550025, ChinaA multilevel Monte Carlo (MLMC) method is applied to simulate a stochastic optimal problem based on the gradient projection method. In the numerical simulation of the stochastic optimal control problem, the approximation of expected value is involved, and the MLMC method is used to address it. The computational cost of the MLMC method and the convergence analysis of the MLMC gradient projection algorithm are presented. Two numerical examples are carried out to verify the effectiveness of our method.https://www.mdpi.com/2673-9909/3/1/8gradient projectionmultilevel Monte Carlostochasticoptimal control problem
spellingShingle Changlun Ye
Xianbing Luo
A Multilevel Monte Carlo Approach for a Stochastic Optimal Control Problem Based on the Gradient Projection Method
AppliedMath
gradient projection
multilevel Monte Carlo
stochastic
optimal control problem
title A Multilevel Monte Carlo Approach for a Stochastic Optimal Control Problem Based on the Gradient Projection Method
title_full A Multilevel Monte Carlo Approach for a Stochastic Optimal Control Problem Based on the Gradient Projection Method
title_fullStr A Multilevel Monte Carlo Approach for a Stochastic Optimal Control Problem Based on the Gradient Projection Method
title_full_unstemmed A Multilevel Monte Carlo Approach for a Stochastic Optimal Control Problem Based on the Gradient Projection Method
title_short A Multilevel Monte Carlo Approach for a Stochastic Optimal Control Problem Based on the Gradient Projection Method
title_sort multilevel monte carlo approach for a stochastic optimal control problem based on the gradient projection method
topic gradient projection
multilevel Monte Carlo
stochastic
optimal control problem
url https://www.mdpi.com/2673-9909/3/1/8
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