#### YRAMR

##### Newbie level 3

NR=2;

NT=3;

H=(randn(NR,NT)+1i*randn(NR,NT))/sqrt(2);

S=(2*randint(NR,1)-1+1i*(2*randint(NR,1)-1))/sqrt(2);

X0=H'*inv(H*H')*S;

X = fmincon(@(x) max(abs(x)),X0,[],[],H,S);

this appears in the command windows

"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."

I want to find the global minimum

I used this script

opts = optimoptions(@fmincon,'Algorithm','interior-point');

problem = createOptimProblem('fmincon','objective',...

@(x) max(abs(x)),'x0',X0,'Aeq',H,'beq',S,'options',opts);

gs = GlobalSearch;

[x,f] = run(gs,problem)

but this appear in the command window

Error using globalsearchnlp (line 109)

All elements of X must be real.

Error in GlobalSearch/run (line 336)

[x,fval,exitflag,output] = ...

I want to find the global minimum any Help?