These formulas do not depend on the distribution of the samples, and thus show a property of the Monte-Carlo method itself.
Its main characteristics are the particular distribution of the samples along image edges and in textured areas, which is obtained following a multiresolution approach, and the low computational complexity.
A different distribution of the samples was observed, however, at the beginning (3 s) and towards the end (75 and 120 s) of the evaluations, with lesser contributions of these instants to the compromise plot.
The COMSOL software was used to simulate the current density distribution of the samples.
The crystallization quality and strain distribution of the samples were analyzed through XRD measurements.
The distribution of the samples show a positive correlation between two dimensions.
Generally, the volume and shape distribution of the samples determine the magnetic anisotropy energy distribution.
Figure 3 shows the particle size distribution of the samples prepared with various phosphate sources.
In future work it would be beneficial to obtain additional information on the pore size distribution of the samples.
The distribution of the samples along the gel was evaluated using a Cyclone Storage Phosphor System (Perkin Elmer).
In this paper, we differentiate between the prior and the importance density to obtain a better distribution of the samples.
