Sentence examples for bound on the value from inspiring English sources

This design principle suggests a lower bound on the value of momentum.

Moreover, we discuss how we can provide an upper bound on the value of the optimal coalition structure, and we show that for specific characteristic functions we can provide such bounds while maintaining polynomial computational costs and memory requirements.

The expression in (23) imposes an upper bound on the value of C l, k ′, thus yielding a conservative value of the DC bias.

The expression in (10) imposes an upper bound on the value of Cl,k, thus yielding a conservative value of the DC bias.

On the other hand, the recommended upper bound on the value of k causes significant redundancy in nodal degree which is a measure of the spatial reuse and interference.

So, to have your mathematics or spreadsheet program compute a lower bound on the value of  Pα[v ≤ F[A,B] ≤ u | b · F[A,S]=m/n · Rnd[S,B,A] · Size[S]=n] In many real cases it will not be initially more plausible that the true frequency value lies outside of the region of interest between v and u than that it lies inside that region.

However, since most of the design goals such as connectivity, energy cost, symmetry, and nodal degree often run against each other the suggested lower and upper bound on the values of k are not sufficient to provide a controllable trade-off among various design goals.

The optimization problem is solved by dualizing the side constraint Eq. 12 on the objective function Eq. 11 using LR whose optimal value is a lower bound on the optimal value of Eq. 11.

That is, the optimal value in (3) gives an upper bound on the optimal value in (1).

In this paper, we compare two cutting-plane algorithms to compute the same lower bound on the optimal value of the problem: one based on the generation of residual capacity inequalities within the model with general integer variables, and the other based on the addition of extended linking inequalities to the 0 1 reformulation.

As we are allowing for a larger feasible set, the optimal value of problem (14) would provide a lower bound on the optimal value of the original problem (12).