如何快速的利用matlab求解拥有大量变量的函数的雅克比矩阵？ 第1页

       function [y, F] = myfunc(x) % Objective y = mycost(x);  % Analytical Jacobian % F = 2*x;   % Numerical Jacobian delta = 1e-5; F = (mycost(x+delta) - mycost(x))/delta; end  function y = mycost(x) y = x^2; end     

        opt = optimoptions('fmincon');  opt.SpecifyObjectiveGradient = true;  fmincon(@myfunc, 10, [],[],[],[],[],[],[], opt)     

       >> myoptimizer  Local minimum found that satisfies the constraints.  Optimization completed because the objective function is non-decreasing in  feasible directions, to within the default value of the optimality tolerance, and constraints are satisfied to within the default value of the constraint tolerance.  <stopping criteria details>   ans =    -4.9997e-06