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This results in a minimization problem in which we minimize both and.

The minimization problem in (5) is rewritten as.

The rank minimization problem in (32) is NP-hard.

Let Θ denote the solution set of the minimization problem in (1.6).

Here, we give a sketch solution to the spectral radius minimization problem in (23).

In this article, delay minimization problem in delay sensitive applications is addressed.

Many searching approaches have been proposed to solve the minimization problem in Equation (21).

For any given itinerary s, the inner minimization problem in Eq. (12) is convex and quadratic.

The minimization problem in Equation 13 has an iterative closed form solution [29, 30].

Unlike the joint minimization problem in (22), these two sub-problems are much easier to solve.

The problem is reformulated to a minimization problem in one dimension.

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