搜索资源列表
unconstrained_optimization
- VC实现的，多维函数搜索，无约束优化方法， (1)最速下降法 (2)阻尼牛顿法(3)共轭梯度法 (4)鲍维尔法(5)变尺度法(6)单纯形法 -VC implementation, multi-dimensional function of search, unconstrained optimization methods, (1), steepest descent method (2) damped Newton' s method (3) conjugate gradient
powell
- "Powell s Conjugate Direction Method" Model
minGETDPRPWP
- 共轭梯度法的prp方法结合wolfe-powell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 of Conjugate Gradient Method the prp method combined wolfe-powell method to solve the multi-dimensional function must be written in the previous one for search function
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
minGETDPRPWP3
- 共轭梯度法prp结合wolfe-powell搜索求解函数的极值，在之前必须准备好相应的程序-Conjugate gradient method the prp combined wolfe-powell search for solving the extreme value of the function must be ready before the corresponding program
multidimensional-extremum-problems
- 无约束多维极值问题，包含 用模式搜索法求解多维函数的极值 用Rosenbrock法求解多维函数的极值 用单纯形搜索法求解多维函数的极值 用Powell法求解多维函数的极值 用最速下降法求解多维函数的极值 用共轭梯度法求解多维函数的极 用牛顿法求解多维函数的极值 用修正牛顿法求解多维函数的极值 用DFP法求解多维函数的极值 用BFGS法求解多维函数的极值 用信赖域法求解多维函数的极值 用显式最速下降法求正定二次函数的极值 -Unconstrain
Powell
- 鲍威尔方法是鲍威尔于1964年提出的，以后又经过他本人的改进。该方法是一种有效的共轭梯度方向法，它可以在有限步内找到二次函数的极小点。对于非二次函数只要具有连续的二阶导数，用这种方法也是有效的。-Powell method is proposed in 1964, and later through his own improvements. This method is an effective method of conjugate gradient direction, it can fi