I tried the solution mentioned in the following link for changing the eps value to slacktol value, but still not working. My version of optimization toolbox is 5.1 and R2010b:
H = 2.*eye(12); f = rand(12, 1); %Define problem
A = []; b = []; %Define inequality constraints
Aeq = [ones(1,6) zeros(1,6); zeros(1,6) ones(1,6)]; beq = [16.8; 175.2]; %Define equality constraints
lb = [0; [1.9:.95:11.4].'; [8.35:.95:18.8].']; lb(7) = 0; lb(13) = 8.35; UB = 292.*ones(24,1); UB(1) = 0; UB(7) = 0; %Define upper and lower bounds
[set, opt_val] = quadprog(H,f,A,b,Aeq,beq,lb,UB); %Solve problem
After changing also still the same answer: Warning: Large-scale algorithm does not currently solve this problem formulation, using medium-scale algorithm instead. > In quadprog at 293 Exiting: the constraints are overly stringent; no feasible starting point found.
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