共轭梯度法求解多维函数的极值

function [x,minf]=minGETD(f,x0,var,eps)

目标函数：f

初始点：x0

自变量向量：var

精度：eps

目标函数取最小值时的自变量值：x

目标函数的最小值：minf-　Conjugate gradient method for solving the multi-dimensional function of the extreme value function [x, minf] = minGETD (f, x0, var, eps)　target function: f　Initial Point: x0　argument vector: var　Accuracy: eps　target function takes the minimum value of the independent variable values: x　minimum target function: minf