Description: 1． 程序运行时首先输入要求解第几题，然后输入初始点，即可得到最后结果。从程序运行结果中我们可以看到，采用共轭梯度法所得的结果比采用最速下降法所得的结果更为精确，这是由于：共轭梯度法实质上是对最速下降法的修正，使搜索方向变为共轭方向，即每一步的搜索方向都要对该步的负梯度进行修正。-1. Program run-time solution of the first type the first few questions asked, and then enter the initial point, final results can be obtained. The results from the program is running, we can see that the conjugate gradient method using the results of the steepest descent method than using the results of more precise, this is due to: the conjugate gradient method in essence is the steepest descent method' s amendment to make the search conjugate direction into the direction that every step of the search direction must be the negative gradient of the steps to be amended. Platform: |
Size: 1024 |
Author:陈卫亮 |
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Description: matlab编写的共轭梯度法，用来解决非线性优化问题-matlab prepared by the conjugate gradient method is used to solve nonlinear optimization problems Platform: |
Size: 9216 |
Author:zh |
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Description: 利用共轭梯度法求解大型线性方程，适合求解大型稀疏矩阵线性方程-Using conjugate gradient method for solving large linear equations, suitable for solving the large sparse matrix linear equation Platform: |
Size: 422912 |
Author:ouyang |
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Search - conjugate_gradient_method