Sentence examples for because the computation of from inspiring English sources

Exact(14)

Here, unsymmetrical local restriction is used because the computation of (c) is simplified.

Because the computation of the local stress by this method having more precision, it can provide some inspiration for construct optimal design.

For second-order marginals,3 however, we used only five replications, because the computation of these residuals for a single data set is very time consuming (several hours).

Because the computation of the transition probabilities incorporates an integration over a multivariate circularly symmetric Gaussian distribution, it is favorable in terms of computational complexity to decompose them into statistically independent real-valued components.

Because the computation of the beamforming vector w 2 opt is based on an eigenvalue decomposition it is challenging to obtain a close-form solution of the ergodic capacity.

Because the computation of surface waves was significantly fast, SW H/V of cap-layered medium, as a simplified calculation of FW H/V of layered medium without cap layer, was preferable to be applied to identify underground velocity structures.

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Similar(46)

The complexity of recursive least squares (RLS) algorithm is more complicated because of the computation of the inverse of the correlation matrix of the input vector.

Note that for the random effect models (mathcal {M}_{4}) and (mathcal {M}_{7}) this procedure is likely to be time consuming because of the computation of the double integral.

As for the LBF model, it usually requires much more time and iterations to achieve stable results because of the computation of f1 and f2 for all points in the image domain.

This adjustment is needed because in the computation of the relaxed index the longest common prefix z between nodes β i and β i +1, rep-resented by node β, has been weighed twice, once from the path that leads to the leaf β i, the other from the path that leads to β i +1.

where C and Q are closed and convex sets in R n, A is a full rank n × n matrix and A ( C ) = { y ∈ R n ∣ y = A x, x ∈ C }. Now (1.4) is not popular because it involves the computation of the inverse A − 1.

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