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非线性约束优化问题的一个修正 Lagrangian 算法
引用本文:贺素香,张立卫.非线性约束优化问题的一个修正 Lagrangian 算法[J].数学物理学报(A辑),2006,26(1):49-062.
作者姓名:贺素香  张立卫
作者单位:武汉理工大学理学院,大连理工大学应用数学系 武汉 430070,大连 116024
基金项目:国家青年自然科学基金(10001007),武汉理工大学博士科研基金资助
摘    要:基于一个含有控制参数的修正Lagrangian函数,该文建立了一个求解非线性约束优化问题的修正Lagrangian算法.在一些适当的条件下,证明了控制参数存在一个阀值,当控制参数小于这一阀值时,由这一算法产生的序列解局部收敛于问题的Kuhn-Tucker点,并且建立了解的误差上界.最后给出一些约束优化问题的数值结果.

关 键 词:修正Lagrangian算法  非线性约束优化问题  局部收敛  误差界
文章编号:1003-3998(2006)01-049-14
收稿时间:2003-09-25
修稿时间:2005-04-05

A Modified Lagrangian Algorithm for Solving Nonlinear Constrained Optimization Problems
He Suxiang,Zhang Liwei.A Modified Lagrangian Algorithm for Solving Nonlinear Constrained Optimization Problems[J].Acta Mathematica Scientia,2006,26(1):49-062.
Authors:He Suxiang  Zhang Liwei
Institution:1.School of Science, Wuhan University of Technology, Wuhan 430070; 2. Department of Applied Mathematics, Dalian University of Technology, Dalian 116024
Abstract:A modified Lagrangian algorithm for solving nonlinear constrained optimization problems is established, which is based on a modified Lagrange function with a controlling parameter. Under suitable conditions, the local convergence of the modified Lagrangian algorithm is proved and the error bounds of solutions are established, which shows that there exists a threshold of the parameter such that, when the parameter is less than this threshold, the sequence of points generated by the algorithm converges to a Kuhn-Tucker point locally. Numerical results by using the modified Lagrangian algorithm for solving some simple constrained optimization problems are illustrated.
Keywords:Modified Lagrangian algorithm  Nonlinear constrained optimization problems  Local convergence  Error bound    
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