A deep neural network-based method for solving obstacle problems

Author:

Cheng Xiaoliang,Shen Xing,Wang Xilu,Liang KeweiORCID

Funder

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,General Economics, Econometrics and Finance,General Engineering,General Medicine,Analysis

Reference28 articles.

1. Galerkin least squares finite element method for the obstacle problem;Burman;Comput. Methods Appl. Mech. Engrg.,2017

2. Monotone multigrid methods for elliptic variational inequalities II;Kornhuber;Numer. Math.,1996

3. An iterative algorithm based on the piecewise linear system for solving bilateral obstacle problems;Yuan;Int. J. Comput. Math.,2012

4. First-order least-squares method for the obstacle problem;Fuhrer;Numer. Math.,2020

5. A level set method for solving free boundary problems associated with obstacles;Majava;Int. J. Numer. Anal. Model.,2004

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1. A Hybrid Iterative Method for Elliptic Variational Inequalities of the Second Kind;Communications on Applied Mathematics and Computation;2024-08-16

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