文件名称:quasi-Newton-method
介绍说明－－下载内容均来自于网络，请自行研究使用
功能：用BFGS算法求解无约束问题：min f(x)
输入：x0是初始点，fun,gfun分别是目标函数及其梯度；
varargin是输入的可变参数变量，简单调用bfgs时可以忽略它
但若其他程序循环调用该程序时将发生重要作用-Function: with BFGS algorithm solving unconstrained problem: min f (x)
input: x0 is the initial point, fun, gfun respectively are the objective function and its gradient
varargin is input variable parameter variable, simply call the BFGS can ignore it
but if other program loop to invoke the program will take place
输入：x0是初始点，fun,gfun分别是目标函数及其梯度；
varargin是输入的可变参数变量，简单调用bfgs时可以忽略它
但若其他程序循环调用该程序时将发生重要作用-Function: with BFGS algorithm solving unconstrained problem: min f (x)
input: x0 is the initial point, fun, gfun respectively are the objective function and its gradient
varargin is input variable parameter variable, simply call the BFGS can ignore it
but if other program loop to invoke the program will take place
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下载文件列表
拟牛顿法
........\bfgs.m
........\broyden.asv
........\broyden.m
........\dfp.asv
........\dfp.m
........\hesse.m
........\sr1.asv
........\sr1.m