A stochastic gradient algorithm with momentum terms for optimal control problems governed by a convection–diffusion equation with random diffusivity

In this paper, we focus on a numerical investigation of a strongly convex and smooth optimization problem subject to a convection–diffusion equation with uncertain terms. Our approach is based on stochastic approximation where true gradient is replaced by a stochastic ones with suitable momentum ter...

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Published in:Journal of computational and applied mathematics Vol. 422; p. 114919
Main Authors: Toraman, Sıtkı Can, Yücel, Hamdullah
Format: Journal Article
Language:English
Published: Elsevier B.V 01.04.2023
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ISSN:0377-0427, 1879-1778
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Abstract In this paper, we focus on a numerical investigation of a strongly convex and smooth optimization problem subject to a convection–diffusion equation with uncertain terms. Our approach is based on stochastic approximation where true gradient is replaced by a stochastic ones with suitable momentum term to minimize the objective functional containing random terms. A full error analysis including Monte Carlo, finite element, and stochastic momentum gradient iteration errors is done. Numerical examples are presented to illustrate the performance of the proposed stochastic approximations in the PDE-constrained optimization setting.
AbstractList In this paper, we focus on a numerical investigation of a strongly convex and smooth optimization problem subject to a convection–diffusion equation with uncertain terms. Our approach is based on stochastic approximation where true gradient is replaced by a stochastic ones with suitable momentum term to minimize the objective functional containing random terms. A full error analysis including Monte Carlo, finite element, and stochastic momentum gradient iteration errors is done. Numerical examples are presented to illustrate the performance of the proposed stochastic approximations in the PDE-constrained optimization setting.
ArticleNumber 114919
Author Toraman, Sıtkı Can
Yücel, Hamdullah
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  fullname: Yücel, Hamdullah
  email: yucelh@metu.edu.tr
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PDE-constrained optimization
Stochastic momentum
Uncertainty quantification
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Snippet In this paper, we focus on a numerical investigation of a strongly convex and smooth optimization problem subject to a convection–diffusion equation with...
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SubjectTerms Monte Carlo
PDE-constrained optimization
Stochastic momentum
Uncertainty quantification
Title A stochastic gradient algorithm with momentum terms for optimal control problems governed by a convection–diffusion equation with random diffusivity
URI https://dx.doi.org/10.1016/j.cam.2022.114919
Volume 422
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