| 1. | The intent here is to identify the basic ingredients of gradient methods .
本节的目的就是了解一下梯度法的基本内容。 |
| 2. | On supermemory gradient method with inexact line searches
非精确搜索下的超记忆梯度法 |
| 3. | The convergence for a class of conjugate gradient methods
一族共轭梯度算法的全局收敛性 |
| 4. | A conjugate gradient method based on subset of subspace
基于子空间子集最优的共轭梯度法 |
| 5. | Convergence of new memory gradient method with armijo search
搜索下的记忆梯度法及其收敛性 |
| 6. | A class of conjugate gradient method under new line search
一类在新的线搜索下的共轭梯度法 |
| 7. | Beam emittance measurement with modified three gradient method
用修正三梯度法测量束流发射度 |
| 8. | A new class of memory gradient methods under strong wolfe line search
线性搜索下的记忆梯度法 |
| 9. | The global convergence of a new kind of dy - conjugate gradient method
型共轭梯度法的全局收敛性 |
| 10. | A new nonlinear conjugate gradient method with goldstein line searches
线搜索下的共轭梯度方法 |
