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A smoothing Newton method for symmetric cone complementarity problems

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Abstract

Recently, there has been much interest in studying optimization problems over symmetric cones. This paper uses Euclidean Jordan algebras as a basic tool to construct a new smoothing function for symmetric cone complementarity problems. It is showed that this new function has similar structure and some good properties as the widely used symmetric perturbed Chen–Harker–Kanzow–Smale smooth function. In particularly, based on the function, we obtain global convergence and locally superlinear convergence of the smoothing Newton algorithm under two weaker assumptions respectively. Some numerical results for second-order cone complementarity problems are also reported.

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Acknowledgments

The project is supported by National Natural Science Foundation of China (Grant Nos. 11201074, 11071041) and The Scientific Research Special Fund Project of Fujian University (Grant No.JK2013060).

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Correspondence to Changfeng Ma.

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Tang, J., Ma, C. A smoothing Newton method for symmetric cone complementarity problems. Optim Lett 9, 225–244 (2015). https://doi.org/10.1007/s11590-013-0704-8

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  • DOI: https://doi.org/10.1007/s11590-013-0704-8

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