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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.
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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.
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.
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.
This practical approximation only slightly underestimates the effects of photoperiod sensitivity on plant height in our study.
Second, FASTSLIM is compatible with a wide range of replacement policies, including common practical approximations to LRU.
What similar practical approximations could be used to measure the success of FP and GBV programs?
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.
Also, we ignored the packet overhead, which is a reasonable approximation for practical WSN protocols with large packet payload.
To the best of our knowledge, this is the first practical parallel approximation algorithm for the minimum makespan scheduling problem that maintains the approximation guarantees of the sequential PTAS and it is specifically designed for execution on shared-memory parallel machines.
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