A smoothing Newton method for mathematical programs governed by second-order cone constrained generalized equations
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发布时间:2019-03-09
论文类型:期刊论文
发表时间:2013-02-01
发表刊物:JOURNAL OF GLOBAL OPTIMIZATION
收录刊物:Scopus、EI、SCIE
卷号:55
期号:2
页面范围:359-385
ISSN号:0925-5001
关键字:Smoothing Newton method; Generalized equations; Second-order cone; MPEC;
Optimality conditions
摘要:In this paper, we consider a class of mathematical programs governed by second-order cone constrained parameterized generalized equations. We reformulate the necessary optimality conditions as a system of nonsmooth equations under linear independence constraint qualification and the strict complementarity condition. A set of second order sufficient conditions is proposed, which is proved to be sufficient for the second order growth of the stationary point. The smoothing Newton method in [40] is employed to solve the system of nonsmooth equations whose strongly BD-regularity at a solution point is demonstrated under the second order sufficient conditions. Several illustrative examples are provided and discussed.