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Exact(2)
The comparison between numerical solution and experimental verification tests confirm the accuracy of the numerical model.
The errors between numerical solution and exact solution are in the same order of magnitude shown in Figure 2; thus, these results are not presented here.
Similar(58)
In numerical experiments, we provide comparisons between numerical solutions and original analytic solutions, showing the efficiency of the method.
Comparisons between numerical solutions and experimental results suggest that the developed material model is able to represent the observed experimental behavior with reasonable accuracy.
In order to validate the proposed method, comparisons between numerical solutions and exact ones are performed for the considered test problems.
In the following, we analyze the error estimates between numerical solution u N j and exact solution u ( t j ).
The qualitative agreement between the numerical solution and the experimental results measured during cyclohexene hydrogenation on palladium catalyst was confirmed.
Figure 2 The errors between the numerical solution and peakon solution.
The agreement between the numerical solution and the analytic solution (45) is extremely good and the two plots are indistinguishable on this scale.
In Figure 5, one have seen that the error, the difference between the numerical solution and the analytic solution, shows its highest values near the free boundary.
In Table 1 we list the absolute errors (AE) and the relative errors (RE) between the numerical solution and the exact solution at (t=10) and the ratio of the errors of the case (m=20) over that of (m=40).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com