共轭梯度法
行搜索
趋同(经济学)
非线性共轭梯度法
直线(几何图形)
数学
应用数学
梯度法
模式搜索
结合
数学优化
计算机科学
数学分析
梯度下降
几何学
计算机安全
机器学习
经济
人工神经网络
半径
经济增长
作者
Zengxin Wei,Shengwei Yao,Liying Liu
标识
DOI:10.1016/j.amc.2006.05.150
摘要
In this paper, a new conjugate gradient formula βk∗ is given to compute the search directions for unconstrained optimization problems. General convergence results for the proposed formula with some line searches such as the exact line search, the Wolfe–Powell line search and the Grippo–Lucidi line search are discussed. Under the above line searches and some assumptions, the global convergence properties of the given methods are discussed. The given formula βk∗⩾0, and has the similar form with βkPRP. Preliminary numerical results show that the proposed methods are efficient.
科研通智能强力驱动
Strongly Powered by AbleSci AI