Sentence examples for an approximation for computing from inspiring English sources

For the cases (iv - vi) iv - vie 2, the quantine funcTableQ X (u) is in closed form, so the n th moment of the random variable X may be obtained from ( {E}_Xleft[{X}^nright]={int}_0^1{left[{Q}_X(u)right]}^n du. ) The following Theorem 3 derives an approximation for computing the n th moment of a member, Uniform-R{GL} of case (i).

In this paper we present a new approximation for computing lower bound for the fixed charge transportation problem (FCTP).

Comparing the results with analytical solution indicated that the model provides a reasonable approximation for computing fluid injection pressure.

Also, since the notion of static slice is generally undecidable, we introduce a complete approximation for computing static slices which is based on the construction of a term dependence graph, the counterpart of program dependence graphs.

Therefore, in this section, we present an approximation algorithm for computing a UAV position that maximizes throughput.

In [ 12], an approximation method for computing the steady-state probability distribution of a PBNp is derived from the approach of [ 36].

With the aid of (19), a lower bound of the outage probability can readily be computed as follows: Next, we present an accurate and computationally efficient closed-form approximation for computing a lower bound for the average SER.

SaddleSum, our implementation of Lugananni Rice approximation for computing enrichment P-values, first solves Equation (3) for using Newton's method and then returns the P-value using (4).

Ordinary Bessel beams are described in terms of the generalized Lorenz-Mie theory (GLMT) by adopting, for what is to our knowledge the first time in the literature, the integral localized approximation for computing their beam shape coefficients (BSCs) in the expansion of the electromagnetic fields.

Finally, we give a Monte Carlo approximation algorithm for computing the probability of a candidate winning in any settings, with an error that is as small as desired.

In order to avoid the computational complexity associated with the BCJR algorithm (or the max-log MAP or SOMA approximations), we consider two reduced-complexity approximations for computing the APPs.