文件名称:steepest-descent--and-Newton
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function[x,val,k] dampnm(fun,gfun,hesse,x0)
功能：用阻尼牛顿法求解无约束问题：min f(x)
输入：x0是初始点，fun,gfun,hesse分别是目标函数值，梯度，hesse矩阵的函数
输出：x,val分别是近似最优点和最优值，k是迭代次数-The function/x, val, k dampnm (fun, gfun, Hesse, x0)
function: with damped Newton method for solving unconstrained problem: min f (x)
input: x0 is the initial point, fun, gfun, Hesse is the objective function value respectively, gradient, Hesse matrix function
output: x, val is approximate optimal point and the optimal value respectively, k is the number of iterations
功能：用阻尼牛顿法求解无约束问题：min f(x)
输入：x0是初始点，fun,gfun,hesse分别是目标函数值，梯度，hesse矩阵的函数
输出：x,val分别是近似最优点和最优值，k是迭代次数-The function/x, val, k dampnm (fun, gfun, Hesse, x0)
function: with damped Newton method for solving unconstrained problem: min f (x)
input: x0 is the initial point, fun, gfun, Hesse is the objective function value respectively, gradient, Hesse matrix function
output: x, val is approximate optimal point and the optimal value respectively, k is the number of iterations
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下载文件列表
最速下降法和牛顿法\dampnm.m
..................\grad.m
..................\hesse.m
..................\revisenm.m
最速下降法和牛顿法