HELP：How to solve this problem

3

  1. Follow @Erling’s advice to improve the scaling so that numbers in your problem are either exactly zero or much closer in magnitude to one than they are now

  2. Follow the advice at 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

  3. Recognize that SCA is a heuristic algorithm which may not converge to anything, let alone a global or even local optimum of the original problem, and that the starting values of the variables being convexified may affect what, if anything, it does converge to,.