Abstract
As is well-known, Jacobian smoothing method is a popular one to solve nonlinear complementarity problems, in which the Jacobian consistency is stressed. By investigating an element of related functions’ B-differential, a smoothing Levenberg-Marquardt(LM) method is proposed based on a Chen-Harker-Kanzow-Smale(CHKS) smoothing function, which satisfies a property called strongly Jacobian consistency. Finally, the numerical experiments illustrate the effectiveness of the given method.
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The authors are grateful to the anonymous referees for their helpful comments and suggestions.
Funding
This work was supported by the National Science Foundation of China (no. 11171221), the Research Fund for the Doctoral Program of Higher Education of China (no. 20123120110004), the Natural Science Foundation of Shanghai (no. 14ZR1429200), and the Innovation Program of Shanghai Municipal Education Commission (no. 15ZZ073).
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Song, L., Gao, Y. A smoothing Levenberg-Marquardt method for nonlinear complementarity problems. Numer Algor 79, 1305–1321 (2018). https://doi.org/10.1007/s11075-018-0485-3
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DOI: https://doi.org/10.1007/s11075-018-0485-3
Keywords
- Nonlinear complementarity problem
- Optimization
- Levenberg-Marquardt method
- Nonsmooth analysis
- B-differential