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Nonlinear separation functions, optimality conditions and error bounds for Ky Fan quasi-inequalities

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Abstract

In this paper, we employ the image space analysis to investigate a Ky Fan quasi-inequality with cone constraints. By means of the oriented distance function, a new nonlinear weak (regular) separation function is introduced. Some necessary and sufficient optimality conditions, especially, a saddle-point sufficient optimality condition for the Ky Fan quasi-inequality with cone constraints, are obtained. By virtue of the nonlinear regular weak separation function, a gap function for the Ky Fan quasi-inequality with cone constraints is obtained. Moreover, we get an error bound for the solution set of the Ky Fan quasi-inequality with respect to the gap function under strongly monotone assumptions.

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Correspondence to Y. D. Xu.

Additional information

The author thanks the two anonymous reviewers for their valuable comments and suggestions, which helped to improve the paper. This research was supported by the National Natural Science Foundation of China (Grant numbers: 11426055, 11401058, 61472056), Basic and Advanced Research Project of CQ CSTC (Grant number: cstc2014jcyjA00044) and the Doctor Start-up Foundation of University of Posts and Telecommunications (Grant number: A2014-15).

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Xu, Y.D. Nonlinear separation functions, optimality conditions and error bounds for Ky Fan quasi-inequalities. Optim Lett 10, 527–542 (2016). https://doi.org/10.1007/s11590-015-0879-2

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