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Exact(9)
This approximation works for our system.
This approximation works at its best in atomic transitions.
However, the simulation results will demonstrate that this approximation works pretty well, especially for relatively high projection order.
This approximation works reasonably well for the study of ground-state properties of medium (~150 Å) and large (>250 Å) size dots.
The point density of each cluster can be estimated by dividing the number of points in the clusters by the area of the bounding box of the cluster; this approximation works well in practice, but if more precision was needed, it could be achieved by computing the convex hull of the cluster and dividing the number of points by its area.
In Traulsen et al. (2006a, 2007), it is shown that this approximation works very well even in small populations.
Similar(51)
For parameters where this ratio is sufficiently small, the approximation works fairly well.
Note also that the approximation works properly for SNR above 20 dB and δ γ >−0.4. Figure 5 RMSE of the estimated distance as a function of the PLE error.
Comparisons with measured extinction coefficients reveal that the approximation works well with water-based nanofluids containing graphite nanoparticles but less well with metallic nanoparticles and/or oil-based fluids.
We will show through simulations that this simple approximation works very well in practice.
One can see the Column-Sampling approximation works better and more approximately up to the ED reconstructed performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com