Help using fmincon function

I attached a picture of the problem I'm working on.

objecfun is:

function f = objecfun(x)
f = (x(1)-x(2))^2 + (x(2)+x(3)-2)^2 + (x(4)-1)^2 + (x(5)-1)^2;
end

optscript is:

x0 = [2;2;2;2;2];
A = [ ];
b = [ ];
Aeq = [1 3 0 0 0; 0 0 1 1 -2; 0 1 0 0 -1];
beq = [0;0;0];
lb = [-10;-10;-10;-10;-10];
ub = [10;10;10;10;10];
[x,fval] = fmincon('objecfun',x0,A,b,Aeq,beq,lb,ub);

When I run optscript, I keep getting this error:

>> optscript

Warning: The default trust-region-reflective algorithm does not solve problems
with the constraints you have specified. FMINCON will use the active-set
algorithm instead. For information on applicable algorithms, see Choosing the
Algorithm in the documentation. 
> In fmincon at 501
  In optscript at 8 
Warning: Your current settings will run a different algorithm (interior-point)
in a future release. 
> In fmincon at 506
  In optscript at 8 

Local minimum possible. Constraints satisfied.

fmincon stopped because the predicted change in the objective function
is less than the default value of the function tolerance and constraints 
are satisfied to within the default value of the constraint tolerance.

<stopping criteria details>

No active inequalities.

Answer 1

[Matt J]

It's not an error. It's a warning. There's no evidence of anything wrong. However, your problem is more appropriate to LSQLIN than to FMINCON, so you might consider using that instead.

[Joey]

problem says we have to use fmincon. how come i don't get any results?

[Matt J]

Try this instead

   [x,fval] = fmincon(@objecfun,x0,A,b,Aeq,beq,lb,ub);

When I run it this way, I get

        x =

         -0.7674
          0.2558
          0.6279
         -0.1163
          0.2558

      fval =

          4.0930

which is also what LSQLIN gives me.