搜索资源列表
共轭梯度法
- 上述算法的④输出结果要求包含最优解、最优值、迭代次数，以及每次迭代的中间结果（对 而言）终止准则为H终止准则-above algorithm output requirements include optimal solution, the optimal values, the number of iteration, and each iteration of the intermediate results (in terms of) the termination criteria f
CG
- 基于MPI和OpenMp混合编程的并行共轭梯度法（CG）代码，可供正在学习并行数值计算的同学参考
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
TransferOptimizationConstraintNonbindingProcedures
- 转最优化-约束 无约束共轭梯度法程序（c++）-Switch Optimization- constrained conjugate gradient method for unconstrained program (c++)
PRP
- 最优化方法作业 PRP共轭梯度法 有算法分析 步骤 实例 实验结果和C++源程序-Optimization method operating PRP conjugate gradient method are examples of algorithm analysis step in the experimental results and C++ source code
47651475hPSO
- 最优化课程大作业 最优化问题单纯性法 梯度法 可以运行-optimization computer homework linear nonlinear multiply objectives optimization matlab code
WinRAR
- 共轭梯度法matlab源程序 很好很强大 快来下载 快来啊-gongetidufa
数值最优化(李董辉)第五章-共轭梯度法 (2)
- 共轭梯度法的课件(Conjugate gradient method)
Desktop
- 用matlab编程计算共轭梯度法求二次型方程的最值。(The conjugate gradient method is used to calculate the maximum value of the two type equation by MATLAB programming)
Fan_Conjugate_gradient
- 通过共轭梯度法进行多参数优化，且参数优化的精确度可调。(Multi parameters optimization based on the conjugate gradient method,and the precision of these parameters can be adjusted.)
zuisuxiajiang_2+gongetidu_4
- 使用最速下降法和共轭梯度法实现优化功能，基于MATLAB平台使用m语言编写(Based on the MATLAB platform, steepest descent method and conjugate gradient method are used to achieve the optimization function with M language.)
优化算法
- 解决了最小无约束优化问题 步长由ARmijo非精确一维搜索生成，迭代方向分别由最速下降法，阻尼牛顿法，共轭梯度法，拟牛顿法(BFGS)产生(This code solves the minimum unconstrained optimization problem, and the step size is generated by ARmijo inexact one-dimensional search. The iterative directions are generated b
拉格朗日乘子法
- 用次梯度方法求解拉格朗日对偶问题的例子。。。。。。(Solve the optimal problem)
无约束优化问题
- 包括几种常用的无约束优化算法，比如最速下降法、BFGS算法、共轭梯度法等等(Including unconstrained optimization algorithms in common use)
smcg
- 共轭梯度法求解N*N对称正定方程组，将解方程组问题转化一个最优化问题。(The conjugate gradient method is used to solve the N*N symmetric positive definite equations, and the problem of solving the equation set is transformed into an optimization problem.)
prog_project
- 投影梯度法求解非光滑优化。。。。。。。。。。。。(projection gradient method)
共轭梯度法
- 共轭梯度法是常用的算法，可以在有限步收敛，通过该程序可以直接求解方程。
共轭梯度法
- MATLAB 实现共轭梯度法，比较简单实用的一种优化算法(using MATLAB to complete gongetidufa)
最小二乘法-梯度下降法-牛顿法
- 用Python3在jupyter notebook实现最小二乘法，梯度下降法和牛顿法(Using Python3 to realize least square method, gradient descent method and Newton method in jupyter notebook)
共轭梯度法C++
- 运筹学中的问题求解，使用共轭梯度法来求最优解(Solving problems in operations research, using conjugate gradient method to find the optimal solution)