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Global convergence of a trust region algorithm for nonlinear inequality constrained optimization problems
Yin, HX; Han, JY; Chen, ZW
2004
发表期刊NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION
ISSN0163-0563
卷号25期号:5-6页码:571-592
摘要In the paper, a new trust region algorithm is given for nonlinear inequality constrained optimization problems. Motivated by a dual problem introduced by Han and Mangasarian [Han, S. P., Mangasarian, O. L. (1983). A dual differentiable exact penalty function. Math. Programming 25:293-3061, which is a nonnegatively constrained maximization problem, we construct a trust region algorithm for solving the dual problem. At each iteration, we only need to minimize a quadratic subproblem with simple bound constraints. Under the condition that the iterate sequence generated by the algorithm is contained in some bounded closed set, any accumulation point of the sequence is a Karush-Kuhn-Tucker point of the original problem.
关键词nonlinear optimization trust region method inequality constraints global convergence
DOI10.1081/NFA-200042169
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000226041500012
出版者MARCEL DEKKER INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/930
专题中国科学院数学与系统科学研究院
通讯作者Yin, HX
作者单位1.Chinese Acad Sci, Grad Sch, Dept Math, Beijing 100039, Peoples R China
2.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing, Peoples R China
3.Suzhou Univ, Dept Math, Suzhou 215006, Jiangsu, Peoples R China
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Yin, HX,Han, JY,Chen, ZW. Global convergence of a trust region algorithm for nonlinear inequality constrained optimization problems[J]. NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION,2004,25(5-6):571-592.
APA Yin, HX,Han, JY,&Chen, ZW.(2004).Global convergence of a trust region algorithm for nonlinear inequality constrained optimization problems.NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION,25(5-6),571-592.
MLA Yin, HX,et al."Global convergence of a trust region algorithm for nonlinear inequality constrained optimization problems".NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION 25.5-6(2004):571-592.
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