'secantmethod.m' 是对 alpha 的一维搜索。 'mainscript.m' 结合其他文件和运行代码。 下面给出初始点。 x = [-1 1 -0.5 -0.7 -2] 执行 要运行此示例,只需在 Matlab 的命令行中编写 run mainscript.m 输出将如下所示 Minimum point of the function : x点...
在Rosenbrock函数中,我们将使用梯度下降算法来寻找最小值。 gradient_descent<-function(x0,y0,learning_rate){max_iterations<-1000# 最大迭代次数threshold<-1e-5# 收敛阈值,表示当函数值的变化小于此阈值时,迭代停止x<-x0 y<-y0 iterations<-0change<-threshold+1while(iterations<max_iterations&&change>thres...
非凸优化算法的测试函数Rosenbrock函数(Rosenbrock's function)的Python代码,实现3D效果 上传者:lzm12278828时间:2024-12-19 Rosen_香蕉函数_Rosenbrock_rosen_ RosenBrock函数(香蕉函数)的实现及海塞矩阵的构建 上传者:weixin_42676824时间:2021-10-01 rosenbrock函数Matlab代码-GradientDescentAlgorithm:局部极小值的梯度下降...
The minimization of the Rosenbrock function is a classic test problem that is extensively used to test the performance of different numerical optimization algorithms. It was first introduced in 1960 by H.H Rosenbrock in his paper, “An Automatic Method for Finding the Greatest or Least Value of ...
Newton and gradient descent are two simple examples of the first category of techniques [3]. The time-consuming nature of these procedures is, however, a disadvantage. Additionally, there is only one solution for each run. The effectiveness of these methods depends on the issues being addressed...