摘要
提出了一种三项超记忆梯度方法.该方法的最大优点是:在无需线性搜索的条件下,迭代方向就是充分下降方向.在较弱的条件下,分析了方法的全局收敛性.初步数值试验表明方法是有效的.
A new three terms super-memory gradient method is proposed.The most attractive properties of the method is that the generated iterative direction is always a sufficiently descent direction without utilizing the line search.Under mild conditions,the method has global convergence.The preliminary numerical results show that the method is effective.
出处
《大学数学》
2010年第6期98-101,共4页
College Mathematics
关键词
超记忆梯度方法
充分下降性
全局收敛性
super-memory gradient method
sufficiently descent
global convergence
