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The interpolating element-free Galerkin method for the p-Laplace double obstacle mixed complementarity problem.

Authors :
Ding, Rui
Ding, Chaoren
Shen, Quan
Source :
Journal of Global Optimization; Jul2023, Vol. 86 Issue 3, p781-820, 40p
Publication Year :
2023

Abstract

In this paper, the interpolating element-free Galerkin method is presented for the p-Laplace double obstacle mixed complementarity problem when 1 < p < 2 and p > 2 . First, a nonlinear power penalty equation is obtained by a power penalty approximation method and the existence and uniqueness of the solution to the power penalty equation are proved when 1 < p < 2 and p > 2 . The convergence of the power penalty solution to the original problem and the penalty estimates are analyzed. Second, the interpolating element-free Galerkin method is constructed for the nonlinear power penalty equation. The numerical implementation is introduced in detail and the convergence of the interpolating element-free Galerkin method is also given. Error estimates indicate that the convergence order depends on not only the spatial step h and the number of bases functions m in the interpolating element-free Galerkin method, but also the index k in the penalty term, the penalty factor λ and p. For different p, the method that how to choose the optimal k and λ is also given. Numerical examples verify error estimates and illustrate the influence of each parameter on the solution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09255001
Volume :
86
Issue :
3
Database :
Complementary Index
Journal :
Journal of Global Optimization
Publication Type :
Academic Journal
Accession number :
164374016
Full Text :
https://doi.org/10.1007/s10898-022-01260-x