摘要
文[1]提出了一类改进的BFGS算法,并在目标函数为一致凸的条件下,证明了算法具有全局收敛性。针对该算法,在目标函数为非凸函数时,提出一个假设条件,证明具有wolf线搜索的该算法亦具有全局收敛性。
A class of modified BFGS algorithm is proposed in this paper , and the algorithm is globally covergent under the condition that the objective function is uniformly convex. In this paper,we propose a condition,and show that the class of modified BFGS algorithm with wolf ' s line search is also globally convergent under this condition, even when applied to a nonconvex function.
出处
《河北理工学院学报》
2007年第2期132-135,共4页
Journal of Hebei Institute of Technology
基金
江苏省高校自然科学研究指导性项目(05KJD110174)
关键词
非凸函数
改进BFGS算法
全局收敛性
nonconvex functions
modified BFGS algorithm
global convergence