Convergence of new memory gradient method with armijo search 搜索下的記憶梯度法及其收斂性
A new class of memory gradient methods under strong wolfe line search 線性搜索下的記憶梯度法
A class of global convergent memory gradient methods and its linear convergence rate 一類全局收斂的記憶梯度法及其線性收斂性
Fourthly , multi - parameter control methods , super - memory gradient methods for solving sub - unconstrained optimization problems are investigated 四是提出多參數(shù)控制算法和求解子問(wèn)題的超記憶梯度算法。