How to use CVX minimize "trace(X^H X)", where X is an N*N matrix, and X^H is the conjugate matrix of X

How to use CVX minimize “trace(X^H X)”, where X is an N*N matrix, and X^H is the conjugate matrix of X.

Use sum(sum(square_abs(x) ))
http://cvxr.com/cvx/doc/funcref.html#new-functions

Thank you. This method works well.

Another forn, which might be more convenient for certain related problems is:
square_pos(norm(X,'fro'))

WoW, received with thanks.

http://cvxr.com/cvx/doc/funcref.html#nonlinear

sum_square_abs
Equivalent to sum(square_abs(x)), but more efficient. Convex.

So you could also do sum(sum_square_abs(X))

That’s great! I’ll give it a try.