How to solve the convex optimization problem with complex variables by ADMM?

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\begin{equation} \begin{split} &\arg\min_{C} \frac{1}{2}c^HAc+\lambda\|C\|_{*}\\ &s.t. C_{i,j}=M_{i,j}. \end{split} \end{equation}

where $A\in \mathbb{C}^{n\times n}$ is a Hermite matrix, $c$ is a complex variable which is the vectorization of $C\in \mathbb{C}^{n\times n}$ . How to solve this problem by ADMM? I see some references in real variable condition which is not the same as in complex condition, such as the derivatives of complex variables.