Can CVX solve non-linear concave minimization problem?

I want to minimize Lambda_min(G* inverse(G1)) with quadratic constraints?
This is non-convex minimization problem. How good is CVX in solving such problems?


I’m going to be deleting this question very soon. CVX is for convex problems, and if you read any of the documentation, you know this.