Can CVX solve non-linear concave minimization problem?

1

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?

Thanks

2

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.