Non-negative optimization variables yield negative results

[MMZ]

I have constrained the optimization variable to be non-negative and have also implemented a constraint explicitly enforcing non-negativity. Why, then, during the solving process, do negative solutions still emerge?

[Mark_L_Stone]

Same advice as last time.

This solutions cannot satisfy the constraint

Remove quiet. Then you will see the solver and CVX output, including whether CVX claims the problem was solved. Even if solved, constraints are only satisfied to within a feasibility tolerance. If any of the non-zero input data is very extreme in magnitude (large or small), that could exacerbate the amount by which a constraint appears to not be exactly feasible.

[MMZ]

ok,I will try. Thank you.