摘要
本文对无约束最优化问题提出一类改进的共轭梯度法。该算法采用一类非精确线搜索,扩大了迭代参数的选取范围,并在目标函数连续可微的条件下,证明了算法的全局收敛性。
In this paper,a class of modified conjugate gradient methods for unconstrained optimization problem is presented,which used a sort of inexact line-search and extented the range of the iterative parameter. (Jlobal convergence of such a method is proved under the condition that the objective function is continuously differentiable.
出处
《数学的实践与认识》
CSCD
1999年第2期134-139,共6页
Mathematics in Practice and Theory
基金
北京市教委科研基金资助