Maximising linear function over a specific convex set of density matrices

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All matrices being discussed in this question are density matrices, so they have the following properties:

  • Hermitian
  • Positive Semidifinite
  • Trace = 1

We are currently in the space of all 4*4 density matrices.

Within this, there is a convex set that is constrained in the following way:

All states that have non-negative quantum conditional entropy. $$ Constraint: Tr(Tr_A(\rho) log(Tr_A(\rho))) - Tr(\rho log \rho)) \geq 0$$ Where $Tr_A$ refers to the partial trace of $\rho$.

The objective function $Tr(\rho \sigma)$ where $\sigma$ is a state outside this set needs to be maximised over this set. This is a linear function.

$\sigma$ is some given state and $\rho$ is the only variable.

What is the best way to go about this?