Thus, the solution obtained by our method is comparable with that obtained by HAM[10].
This result shows that the movement generated by our method is well-balanced.
Therefore, the image, obtained by our method, is denoised more efficiently and segmented more correctly.
Therefore, we conclude that the velocity model obtained by our method is suitable for microseismic event location.
The confidence of similarity assessments evaluated by our method is then compared to some popularly-used traditional assessment methods.
The distribution of the generated particle samples by our method is better than that of the traditional techniques.
This study indicates that the hollow LDH microsphere prepared by our method is a promising material for supercapacitors.
It is clear from Table 1 and Table 2 that the performance achieved by our method is much better than those by [21, 22].
The visual 3D perception improvement obtained by our method is due to two factors: the perceptual depth enhancement step, and the prominence of the depth for moving-objects.
We show numerically that the accuracy of the numerical solutions computed by our method is significantly higher than that computed by the IPDG method using polynomials.
It is demonstrated numerically that the tip velocity obtained by our method is in good agreement with the previously published results.
