Combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation

This paper delves into a rapid and accurate numerical solution for the inverse problem of the nonlinear diffusion equation in the context of multiphase porous media flow. For the realization of this, the combination of the multigrid method with constraint data is utilized and investigated. Additiona...

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Main Authors: Liu, Tao, Ouyang, Di, Guo, Lianjun, Qiu, Ruofeng, Qi, Yunfei, Xie, Wu, Ma, Qiang, Liu, Chao
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/171720
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1717202023-11-10T15:40:47Z Combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation Liu, Tao Ouyang, Di Guo, Lianjun Qiu, Ruofeng Qi, Yunfei Xie, Wu Ma, Qiang Liu, Chao School of Electrical and Electronic Engineering Science::Mathematics Inverse Problem Nonlinear Diffusion Equation This paper delves into a rapid and accurate numerical solution for the inverse problem of the nonlinear diffusion equation in the context of multiphase porous media flow. For the realization of this, the combination of the multigrid method with constraint data is utilized and investigated. Additionally, to address the ill-posedness of the inverse problem, the Tikhonov regularization is incorporated. Numerical results demonstrate the computational performance of this method. The proposed combination strategy displays remarkable capabilities in reducing noise, avoiding local minima, and accelerating convergence. Moreover, this combination method performs better than any one method used alone. Published version This research was funded by the Natural Science Foundation of Hebei Province of China (A2020501007), the Fundamental Research Funds for the Central Universities (N2123015), the Open Fund Project of Marine Ecological Restoration and Smart Ocean Engineering Research Center of Hebei Province (HBMESO2321), and the Technical Service Project of Eighth Geological Brigade of Hebei Bureau of Geology and Mineral Resources Exploration (KJ2022-021). 2023-11-06T04:27:15Z 2023-11-06T04:27:15Z 2023 Journal Article Liu, T., Ouyang, D., Guo, L., Qiu, R., Qi, Y., Xie, W., Ma, Q. & Liu, C. (2023). Combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation. Mathematics, 11(13), 2887-. https://dx.doi.org/10.3390/math11132887 2227-7390 https://hdl.handle.net/10356/171720 10.3390/math11132887 2-s2.0-85164680781 13 11 2887 en Mathematics © 2023 The authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics
Inverse Problem
Nonlinear Diffusion Equation
spellingShingle Science::Mathematics
Inverse Problem
Nonlinear Diffusion Equation
Liu, Tao
Ouyang, Di
Guo, Lianjun
Qiu, Ruofeng
Qi, Yunfei
Xie, Wu
Ma, Qiang
Liu, Chao
Combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation
description This paper delves into a rapid and accurate numerical solution for the inverse problem of the nonlinear diffusion equation in the context of multiphase porous media flow. For the realization of this, the combination of the multigrid method with constraint data is utilized and investigated. Additionally, to address the ill-posedness of the inverse problem, the Tikhonov regularization is incorporated. Numerical results demonstrate the computational performance of this method. The proposed combination strategy displays remarkable capabilities in reducing noise, avoiding local minima, and accelerating convergence. Moreover, this combination method performs better than any one method used alone.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Liu, Tao
Ouyang, Di
Guo, Lianjun
Qiu, Ruofeng
Qi, Yunfei
Xie, Wu
Ma, Qiang
Liu, Chao
format Article
author Liu, Tao
Ouyang, Di
Guo, Lianjun
Qiu, Ruofeng
Qi, Yunfei
Xie, Wu
Ma, Qiang
Liu, Chao
author_sort Liu, Tao
title Combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation
title_short Combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation
title_full Combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation
title_fullStr Combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation
title_full_unstemmed Combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation
title_sort combination of multigrid with constraint data for inverse problem of nonlinear diffusion equation
publishDate 2023
url https://hdl.handle.net/10356/171720
_version_ 1783955610263355392