Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93824
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Title: Solution method for discrete double obstacle problems based on a power penalty approach
Authors: Zhang, K
Yang, X 
Wang, S
Issue Date: Mar-2022
Source: Journal of industrial and management optimization, Mar 2022, v. 18, no. 2, p. 1261-1274
Abstract: We develop a power penalty approach to a finite-dimensional double obstacle problem. This problem is first approximated by a system of nonlinear equations containing two penalty terms. We show that the solution to this penalized equation converges to that of the original obstacle problem at an exponential rate when the coefficient matrices are M-matrices. Numerical examples are presented to confirm the theoretical findings and illustrate the efficiency and effectiveness of the new method.
Keywords: Complementarity problem
Convergence rate
Double obstacle problem
Numerical optimization
Penalty method
Publisher: American Institute of Mathematical Sciences
Journal: Journal of industrial and management optimization 
ISSN: 1553-166X
EISSN: 1547-5816
DOI: 10.3934/jimo.2021018
Rights: © 2021 The Author(s). Published by AIMS, LLC. This is an Open Access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
The following publication Kai Zhang, Xiaoqi Yang, Song Wang. Solution method for discrete double obstacle problems based on a power penalty approach. Journal of Industrial and Management Optimization, 2022, 18 (2) : 1261-1274 is available at https://doi.org/10.3934/jimo.2021018.
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