Hello,
I’m new to CVX.
My problem has the following form
cvx_begin sdp variable P(n,n) minimize(norm(P*D1 - D2*P))% here are few linear matrix inequalities
…
cvx_end
It works well for small matrices less than 100x100. However, I need at least twice bigger matrices, and when n is greater than 100 it crashes, usually with the low memory error. I tried to use default solver and Mosek.
Is there some fundamental problem with solving SDP for large matrices or maybe I’m doing something wrong ?
I have very little experience with convex programming so any help will be greatly appreciated 