Inverse Problem for the Nonlinear Convection–Diffusion Equation by Using the Multigrid Method and Constraint Data

Author:

Wang Shuai1,Ling Shiyi2ORCID,Chao Heyang2,Qi Yunfei3,Zhang Wenwen4ORCID,Ma Qiang5,Liu Tao2ORCID

Affiliation:

1. Foundation Department, Changchun Guanghua University, Changchun 130033, China

2. School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

3. Eighth Geological Brigade of Hebei Bureau of Geology and Mineral Resources Exploration (Hebei Center of Marine Geological Resources Survey), Qinhuangdao 066000, China

4. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore

5. Department of Mathematics, Harbin Institute of Technology at Weihai, Weihai 264209, China

Abstract

In the article, we propose a combination method based on the multigrid method and constraint data to solve the inverse problem in the context of the nonlinear convection–diffusion equation in the multiphase porous media flow. The inverse problem consists of a data-fitting term involving the discretization of a direct problem, a constraint term concerning the incorporation of constraint data, and a regularization term dealing with the improvement of stability. A multigrid method, which is specialized for large-scale problems and works by keeping the consistence of objective functionals between different grids, is applied in the process of inversion. Based on the numerical results, the proposed combination method has the advantages of fast calculation, high precision, good stability, and strong anti-noise ability in computation. It obtains good performance under various noise levels, as well as outperforming any one method used alone.

Funder

Research Project on Graduate Education and Teaching Reform of Hebei Province of China

Open Fund Project of Marine Ecological Restoration and Smart Ocean Engineering Research Center of Hebei Province

Technical Service Project of Eighth Geological Brigade of Hebei Bureau of Geology and Mineral Resources Exploration

Technical Service Project of Hebei Baodi Construction Engineering Co., Ltd.

Natural Science Foundation of Hebei Province of China

Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

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