搜索资源列表
minGETDFRWP
- 共轭梯度法的FR方法结合wolfe-powell搜索，求解多维函数的极小值，在此前必须编写好一为搜索函数-FR method combined with the conjugate gradient method wolfe-powell search for solving multidimensional function minimum, must be written in the previous one for the search function
minGETDFRHJ
- 共轭梯度法的FR方法结合黄金分割法求解多维函数的极小值，在此前必须编写好一为搜索函数-Minimum value of the FR conjugate gradient method combined with golden section method to solve the multi-dimensional function must be written in the previous one for search function
2
- FR共轭梯度法求非线性无约束最优化（函数极值）问题-FR conjugate gradient method for solving nonlinear unconstrained optimization (function extremum) problem
CG
- 共轭梯度法求解线性方程组,主要采用FR共轭梯度法-solve liner solutions from CG
frcg
- FR共轭梯度法求解无约束优化问题，其中一维搜索用Armijo搜索。-Fletcher-Reeves method for optimization
FR
- 共轭梯度法，一种适合于研究生最优化方法课程的小程序，基于matlab的一个算例仿真-Conjugate gradient method, which is suitable for most graduate programs applet optimization, simulation based on a study of matlab
gongetidu
- 用于解决非线性无约束优化问题(It is used to solve nonlinear unconstrained optimization problem)