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The global convergence of the non-quasi-Newton methods with non-monotone line search

哈尔滨工业大学学报（英文版）2006，Vol.13Issue(6)：758-762,5.

The global convergence of the non-quasi-Newton methods with non-monotone line search

作者信息

1. The Center of Management and Decision Research, Capital Normal University, Beijing 100037, China;The Institute of Information, Renmin University of China,Beijing 100872,China
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摘要

Abstract

The non-quasi-Newton methods for unconstrained optimization was investigated. Non-monotone line search procedure is introduced, which is combined with the non-quasi-Newton family. Under the uniform convexity assumption on objective function, the global convergence of the non-quasi-Newton family was proved.Numerical experiments showed that the non-monotone line search was more effective.

关键词

non-quasi-Newton method/non-monotone line search/global convergence/unconstrained optimization

Key words

non-quasi-Newton method/non-monotone line search/global convergence/unconstrained optimization

分类

数理科学

引用本文复制引用

..The global convergence of the non-quasi-Newton methods with non-monotone line search[J].哈尔滨工业大学学报（英文版）,2006,13(6):758-762,5.

基金项目

Sponsored by Natural Science Foundation of Beijing Municipal Commission of Education( Grant No. KM200510028019). （ Grant No. KM200510028019）

哈尔滨工业大学学报（英文版）

ISSN：1005-9113

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