objective function: $\min_{X} F(X)$
constraint : $\operatorname{trace}(CXDX^H)\ge\alpha$
where A&C&Dis a matrix of $N\times N$ and X is matrix of $N\times N$ and F(X)=trace$(AX^HX)$
how this problem is solved in matlab?
objective function: $\min_{X} F(X)$
constraint : $\operatorname{trace}(CXDX^H)\ge\alpha$
where A&C&Dis a matrix of $N\times N$ and X is matrix of $N\times N$ and F(X)=trace$(AX^HX)$
how this problem is solved in matlab?
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You can vectorize all calculations and feed it into MATLAB's solver.
It won't give you the optimal solution only Local Minima as this is not a convex optimization problem.