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Optimization with convex constraints and convex objectives; notions related to convex optimization such as sub-gradients, normal cones, separating hyperplanes

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How to solve this optimization problem efficiently? [closed]

Let, $D\in\mathbb{C}^{1\times M}$ is a row vector with $M$ elements $V\in\mathbb{C}^{3^M\times M}$ is a given matrix $T$ is a scalar (real and $>1$) $\textbf{The problem at hand is as follows:}$ $ …
dipak narayanan's user avatar