I am trying to solve Joint optimization problem with the CVX toolbox and second sub problem becomes concave + Convex as the sub problem gives negative powers (Even if I specify nonnegative ). Then program stops running . Please help me in this regardng

[Mark_L_Stone]

If this occurs on an iteration subsequent to the first, perhaps it’s a result of your alternating optimization diverging. You claimed it converges, I never did.

The result obtained using the SeDuMi solver is inaccurate. The optimal solution is not as good as before the optimization.

Unsafeguarded (no line search or trust region)Successive Convex Approximation (SCA) or generally, alternating variables optimization are unreliable. It might not descend (for minimization problem), i.e., iterates could get worse. It might not converge to anything; and if it does converge, it might not be to a local optimum of the original problem, let alone a global optimum. The solution of successive iterations, and therefore subproblem inputs, can become wilder and wilder, until at some point …