非线性半定规划的一个线搜索精确罚方法
A Line Search Exact Penalty Method for Nonlinear Semidefinite Programming
DOI: 10.12677/AAM.2019.84071, PDF,    国家自然科学基金支持
作者: 吴加其, 黎健玲:广西大学数学与信息科学学院,广西 南宁
关键词: 非线性半定规划线搜索罚函数全局收敛性Nonlinear Semidefinite Programming Line Search Penalty Function Global Convergence
摘要: 本文提出了一个求解非线性半定规划的线搜索精确罚函数方法。在每次迭代中通过求解一个二次半定规划产生搜索方向,某个精确罚函数作为效益函数用于线搜索确定步长。且借助信赖域子问题的最优解更新罚参数。在较温和的条件下本文证明了算法具有全局收敛性。
Abstract: This paper presents a line search exact penalty method for nonlinear semidefinite programming. At each iteration, the search direction is determined by solving a quadratic semidefinite programming subproblem. Certain exact penalty function is used as merit function for line search and a step size is obtained. The penalty parameter is updated by the optimal solution of the trust region subproblem. Under some appropriate conditions, the global convergence of the proposed algorithm is proved.
文章引用:吴加其, 黎健玲. 非线性半定规划的一个线搜索精确罚方法[J]. 应用数学进展, 2019, 8(4): 638-649. https://doi.org/10.12677/AAM.2019.84071

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