Nonlinear optimization problem -- matlab

options = optimset('LargeScale','off','display','iter');
% The parameter setting uses the medium-sized algorithm , Show iteration process 
A=[-1,-2,-2; % Linear inequality constraint coefficient matrix 
    1, 2, 2];
b=[0;72];% Linear inequality constrains constant vectors 
x0=[10,10,10];% Initial iteration point 
[x,fval,exitflag,output]= fmincon(@confun_1,x0,A,b,[],[],[],[],[],options)```

```handlebars
                                          First-order      Norm of
 Iter F-count            f(x)  Feasibility   optimality         step
    0       4   -1.000000e+03    0.000e+00    9.899e+01
    1       8   -3.055040e+03    0.000e+00    2.098e+02    7.873e+00
    2      12   -3.219148e+03    0.000e+00    6.463e+01    1.950e+00
    3      16   -3.451737e+03    0.000e+00    1.465e+01    6.335e+00
    4      20   -3.455915e+03    0.000e+00    1.420e+00    8.879e-01
    5      24   -3.456000e+03    0.000e+00    2.794e-02    1.232e-01
    6      28   -3.456000e+03    0.000e+00    2.106e-02    2.759e-03
    7      35   -3.456000e+03    0.000e+00    9.884e-03    2.060e-03
    8      39   -3.456000e+03    0.000e+00    7.938e-04    1.725e-03
    9      43   -3.456000e+03    0.000e+00    1.255e-05    6.531e-05

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>

x =

   24.0000   12.0000   12.0000


fval =

  -3.4560e+03


exitflag =

     1


output = 

   That contains the following fields  struct:

         iterations: 9
          funcCount: 43
    constrviolation: 0
           stepsize: 6.5312e-05
          algorithm: 'interior-point'
      firstorderopt: 1.2552e-05
       cgiterations: 0
            message: '↵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>↵↵Optimization completed: The relative first-order optimality measure, 4.358349e-08,↵is less than options.OptimalityTolerance = 1.000000e-06, and the relative maximum constraint↵violation, 0.000000e+00, is less than options.ConstraintTolerance = 1.000000e-06.↵↵'
       bestfeasible: [1×1 struct]