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一个锥模型的自适应信赖域算法及其收敛性
引用本文:冯琳,段复建. 一个锥模型的自适应信赖域算法及其收敛性[J]. 数学杂志, 2016, 36(1): 144-156
作者姓名:冯琳  段复建
作者单位:重庆文理学院数学与财经学院, 重庆 402160,桂林电子科技大学数学与计算科学学院, 广西 桂林 541004
基金项目:国家自然科学基金(11061011);广西自然科学基金(2011GXNSFA018138);重庆文理学院课题(Y2013sc42).
摘    要:本文研究了无约束最优化问题的基于锥模型的自适应信赖域算法.利用理论分析得到一个新的自适应信赖域半径.算法在每步迭代中以变化的速率、当前迭代点的信息以及水平向量信息调节信赖域半径的大小.从理论上证明了新算法的全局收敛性和Q-二阶收敛性.用数值试验验证了新算法的有效性.推广了已有的自适应信赖域算法的可行性和有效性.

关 键 词:无约束最优化  信赖域方法  锥模型  自适应  收敛性
收稿时间:2011-10-13
修稿时间:2012-03-01

A SELF-ADAPIVE TRUST REGION METHOD AND ITS CONVERGENCE WITH THE CONIC MODEL
FENG Lin and DUAN Fu-jian. A SELF-ADAPIVE TRUST REGION METHOD AND ITS CONVERGENCE WITH THE CONIC MODEL[J]. Journal of Mathematics, 2016, 36(1): 144-156
Authors:FENG Lin and DUAN Fu-jian
Affiliation:School of Math. and Finance, Chongqing University of Arts and Sciences, Chongqing 402160, China and School of Math. and Comput. Sci., Guilin University of Electronic Technology, Guilin 541004, China
Abstract:In this paper, we study a self-adaptive trust region algorithm based on the conic model for unconstrained optimization problems. A new self-adaptive trust region radius is produced under theoretical analysis. At each iterative, the trust region radius is updated at a variable rate, the information at the current point and the level vector information. We analyze the global convergence and Q-quadratic convergence of the new method. Numerical results are also presented to test the efficiency of the new method which extend the application and efficiency of self-adaptive trust region algorithms.
Keywords:unconstrained optimization  trust region method  conic model  self-adaptive  convergence
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