非线性优化问题---MATLAB

options = optimset('LargeScale','off','display','iter');
%参数设置使用中等规模算法，显示迭代过程
x0=[10,10,10];%初始迭代点
lb=[0,0,0];%变量下限
[x,fval,exitflag,output]= fmincon(@confun_2,x0,[],[],[],[],lb,[],@noncon_2,options)
%x = fmincon(fun,x0,A,b,Aeq,beq,lb,ub,nonlcon,options)```

```clike
                                            First-order      Norm of
 Iter F-count            f(x)  Feasibility   optimality         step
    0       4    3.000000e+02    4.200e+01    1.993e+01
    1       8    1.012451e+03    1.689e+01    1.689e+01    1.450e+01
    2      12    1.728164e+03    0.000e+00    5.290e-03    9.752e+00
    3      16    1.728001e+03    0.000e+00    4.191e-05    1.960e-03

Local minimum found that satisfies the constraints.

Optimization completed because the objective function is non-decreasing in 
feasible directions, to within the value of the optimality tolerance,
and constraints are satisfied to within the value of the constraint tolerance.

<stopping criteria details>```