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一类求解无约束优化的自适应拟牛顿型信赖域算法
引用本文:李文钰. 一类求解无约束优化的自适应拟牛顿型信赖域算法[J]. 吉林林学院学报, 2014, 0(6): 715-718
作者姓名:李文钰
作者单位:北华大学数学与统计学院,吉林吉林132033
基金项目:吉林省科技发展计划项目(201215102).
摘    要:提出一类求解无约束优化的自适应拟牛顿型信赖域算法,信赖域半径更新准则采用由L-函数给出的一类自适应更新准则,当前迭代点处的目标函数的二阶海森矩阵用某种拟牛顿型公式近似。在一定假设的条件下,算法具有传统信赖域算法的全局收敛性质。数值实验表明,对于求解无约束优化问题算法是有效的。

关 键 词:信赖域方法  拟牛顿  自适应

A Class Self-adaptive Quasi-Newton Trust Region Algorithm for Solving Unconstrained Optimization
Li Wenyu. A Class Self-adaptive Quasi-Newton Trust Region Algorithm for Solving Unconstrained Optimization[J]. , 2014, 0(6): 715-718
Authors:Li Wenyu
Affiliation:Li Wenyu ( School of Mathematics and Statistics of Beihua University, Jilin 132033, China)
Abstract:This paper presents a class of adaptive trust region method for solving unconstrained optimization. The trust region update rules adopt the new self-adaptive update rules introduced by L-function and the Hessian matrix of objective function is approximated by some Quasi-Newton formula at current iteration. Under some assumptions,the algorithm has preserved global convergence of the traditional trust region algorithm. Numerical experiments show that the algorithm of unconstrained optimization is effective.
Keywords:trust region  Quasi-Newton  self-adaptive
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