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Also, restricting the problem space by narrowing options, preselecting data, or offloading more routine parts of the task can help learners focus resources on the aspects of the task more productive for learning.
From the computational point of view, restricting the problem to the 2D case is still not enough to achieve timely results for the study of femtocells deployments and their influence into the macrocell network.
Existing research has also been restricting the problem space in different dimensions: [5, 7] consider the offline version of the problem; [7] ignores node requirements; [5, 7] assume infinite capacity in substrate nodes and links to obviate admission control; and [7] focuses on specific VN topologies.
Thus, Proposition 3 allows to reformulate the non-convex problem (18) as a convex one by restricting the problem domain to the concave region of the objective function, which can be done by simply imposing the additional constraints p k ≤ p ̄ k for all ℓ=1,…,L in (18).
We consider the proByem of threstrictingtheal scheduling in wireless networks subject to interference constraints, which are modeled using a family of -hoproblemference models.
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By restricting the problems to one- and two-dimensional spatial space, this study allows us to develop a greater understanding of the integrated algorithm without the complexity or computational cost associated with three dimensions.
An important question in constraint satisfaction is how to restrict the problem to ensure tractability (since the general problem is NP-hard).
Even though it restricts the problem model, this method is advantageous in that it finds an optimal solution in a reasonable computation time.
We first restrict the problem to the comparison of two gene trees, without loss of generality.
In order to restrict the problem with truncation, the risk was estimated only for follow-up periods 1 9 and 10 14 years after breast cancer diagnosis.
If we restrict the problem to CCI ≤ 15, the number of models needed to fit would be 16 + 15 + … + 1 = 136.
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