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Table 1 shows the maximum errors with different sizes h.
The accuracy of the method is assessed in terms of the average and maximum errors with respect to the density of nodes, number of nodes in the domain of influence, multiquadrics free parameter, and timestep length on uniform and nonuniform node arrangements.
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Figure 8 Zone concentration maximum error with increasing QoD bounds σ.
Statistical analysis shows a maximum error with relation to the true values of 35.8% for the nonlinear least-squares problem and 5.8% for the orthogonal distance regression.
The comparison was carried out visually, by superimposing the velocity graphs for the two simulations with different calculation grids and, analytically, by calculating the maximum error with the automatic algorithm written in Matlab.
Minimum errors are close to zero for all and maximum errors decrease with k increasing.
In Figure 2, the absolute errors with several values of q and the maximum errors are plotted with (n= 20).
The error functions for the three methods are shown in Figure 7 with maximum errors of 5, 4.5, 14, respectively.
Very satisfactory correlations are obtained for all examples with maximum errors less thank 5percentt in all results.
The structural model is able to predict the kinematic deformation metrics with maximum errors around 10% especially in systole where the displacements are larger in magnitude.
A visual analysis revealed that for sowing in mid December to mid January, the model systematically predicted a too short duration, with maximum errors of 15 days.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com