Sentence examples for a practical approximation for from inspiring English sources

Experimental and theoretical analyses of cellular deformation indicate that a hyperelastic material model is a practical approximation for describing the deformation of a cell after quasistatic stretching after completion of the stress relaxation.

The intent of this study was to explore a practical approximation for implementing a Bayesian approach for nursing outcome report cards.

We believe that this result is both beautiful and useful: when using a deformable kernel formulation to implement a SV filtering, we (i) convolve the original image with the set of R (J for a practical approximation, with, typically J ≪ R) reference kernels (180 degrees rotated); (ii) apply a different spatial mask to the output of each convolution; and (iii) add all of them.

Whereas for implementing the transpose linear SV operator we do, instead: (i) apply the same set of R (J for a practical approximation) masks as before, directly to the original image, obtaining R (J) masked images; (ii) convolve each with the corresponding reference kernel; and (iii) add all of them.

IDW is a practical approximation that would not need extra painstaking computation at the application level.

As a practical approximation, we feed the transition state pathway (TSP) trajectories [5], [6] to Eq. 16), as a representative terrain for a given temperature.

Simulation results demonstrate that the developed analytical framework provides a good approximation for a practical number of antennas.

Also, we ignored the packet overhead, which is a reasonable approximation for practical WSN protocols with large packet payload.

The calculations show that internal mixing generally has a smaller influence on droplet behaviour for a mixture with a large number of components than it does for a binary mixture, and give some guidance as to when a well-mixed droplet model may or may not be a good approximation for practical work.

Therefore, a practical approach for solving such problems is to employ heuristic (approximation) algorithms that can find nearly optimal solutions within a reasonable amount of computation time.

There is a practical reason for this.