共轭梯度法

The conjugate gradient training method is studied to speed up the training rate in this research.

本研究的目的为使用共轭梯度法作为训练网路参数的方法，希望能增快学习速率。

VC prepared by a conjugate gradient method procedures, head to the counting function is determined.

用VC编写的一个共轭梯度法的程序，目票函数是给定的。

Based on the genetic algorithm and the method of conjugate gradient, a method for optimizing the model parameters is developed.

基于遗传算法和共轭梯度法确定最优化模型参数，利用该模型拟合了2种硫化胶的应力松弛系数和永久变形率随时间变化的数据。

Now, the rapid development of computer and occurrence of a great deal of large-scale optimization problems make the researches in conjugate gradient method revive.

近年来，随着计算机的飞速发展和实际问题中大规模优化问题的涌现，寻找快速有效的共轭梯度法成为了学者们研究的热门方向之一。

Some methods are direct in principle but are usually used as though they were not, e.g. GMRES and the conjugate gradient method .

有些方法是直接在原则上，但通常用作但他们没有，例如： GMRES方法和共轭梯度法。

According to the filter matrix particularity, the filter equation was solved by using conjugate gradient method.

并根据滤波矩阵的特殊性，釆用共轭梯度法求解滤波方程。

In this dissertation, we presented the global convergence properties of nonlinear conjugate gradient methods without line search and with strong Wolfe conditions, Goldstein inexact line search.

本文给出了无约束最优化算法—非线性共轭梯度法在不需线搜索和用强Wolfe条件下以及用Goldstein非精确线搜索产生搜索步长情况下的全局收敛性证明。

Nonlinear Conjugate Gradient Method; Line Search; Sufficient Descent Direction; Global Convergence

基础科学，数学，运筹学非线性共轭梯度法；线性搜索；充分下降方向；全局收敛性

In the first section, we introduce the development of the conjugate gradient methods.

在第一部分中我们介绍了共轭梯度法的发展过程及其研究现状。

In comparison with classic conjugate gradient methods, the decrease of objective function is contained in the two new methods.

与经典的共轭梯度法的区别是新方法中体现了函数值下降量的信息。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。