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解无约束优化的非单调自适应信赖域算法
引用本文:曾刘拴.解无约束优化的非单调自适应信赖域算法[J].重庆工商大学学报(自然科学版),2013(11):55-61.
作者姓名:曾刘拴
作者单位:重庆大学数学与统计学院,重庆401331
摘    要:受文献14]的启发,针对无约束优化问题提出了一个基于二次模型的非单调信赖域算法;算法结合自适应技术,避免信赖域半径更新的盲目性;并引入新的非单调技术,利用非单调Armijo线搜索得到步长,进而产生新的迭代点;在文献14]减少一个假设条件的情况下,证明了该算法的全局收敛性,数值实验表明了算法的有效性。

关 键 词:无约束规划  非单调信赖域算法  自适应方法  滤子  全局收敛性

Nonmonotone Self-Adaptive Trust-region Algorithm for Solving Unconstrained Optimization
ZENG Liu-shuan.Nonmonotone Self-Adaptive Trust-region Algorithm for Solving Unconstrained Optimization[J].Journal of Chongqing Technology and Business University:Natural Science Edition,2013(11):55-61.
Authors:ZENG Liu-shuan
Institution:ZENG Liu-shuan ( College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China)
Abstract:Inspired by reference 14] ,a non-monotone trust-region algorithm is proposed based on a quaorauc model for solving unconstrained optimization. Self-adaptive technology is employed to avoid the blindness of the trust region radius' update. A new nonmonotone technique is introduced in this paper, a step size is got by the non- monotone Armijo line search, thus a new iterative point is achieved. The global convergence of this new algorithm is verified under the reduction of one supposed condition in reference 14]. Preliminary numerical experiments show that the new algorithm is effective.
Keywords:unconstrained rule  nonmonotone trust-region algorithm  self-adaptive method  filter  global convergence
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