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

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

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