I have no idea what you did. The problem you showed is non-convex. Yet you show some CVX output, which indicated CVX’s Successive Approximation Method was used (and perhaps failed).
The first step is to prove the optimization problem you want to enter in CVX is a convex optimization problem. If it is, and involves exponential cone related items, such as ln
, use Mosek as solver if available, otherwise, follow the advice in.CVXQUAD: How to use CVXQUAD's Pade Approximant instead of CVX's unreliable Successive Approximation for GP mode, log, exp, entr, rel_entr, kl_div, log_det, det_rootn, exponential cone. CVXQUAD's Quantum (Matrix) Entropy & Matrix Log related functions ,
As I stated, the first step is to prove your optimization problem is convex.