In both situations, the underlying scientific knowledge was quite well established, while the uncertainties were never enough to render the problem inconsequential.
These facts render the problem difficult.
Appropriate regularization terms render the problem well-determined.
A number of constraints render the problem rather challenging.
Typically, some simplifications are applied to reduce the difficulty of computation and render the problem more tractable.
Such a model could be incorporated here, but it would render the problem three-dimensional, with a geometric increase in the demand for computational power.
Some simplifications were adopted in order to render the problem minimally tractable, especially in this initial numerical simulation stage, which is the reporting objective of this article.
Constraints on the input signals are common to many real-world applications and render the problem to be tackled even more complicated.
In this way, the nonlinear formulation is approached by approximated linearized functions that render the problem as a MIP, which enables the computation of global optima within fast execution times.
Intricate relationships among antenna type used, wireless links with adaptive modulation and coding (AMC) scheme, MAC scheduling, routing, and equipment cost render the problem of optimal WMN planning extremely complex to address.
