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The small increase in calculation time due to this additional variable is negligible.
Moreover, it was observed that increasing the size of problems did not cause a considerable increase in calculation time.
We will also not consider thermal scattering, since it will require an increase in calculation time by an equal multiplier for both methods.
It is worth highlighting that the proposed method enhances the predicting capability of the current practical ones, with almost no increase in calculation effort.
As the correlation coefficients reported in the bottom row of Table 2 indicate, scores on the attention switching test did not moderate the increase in calculation error with articulatory suppression.
Overall, the increase in absolute calculation error when collapsing across interactivity conditions was moderated by basic arithmetic skills, r = −.37, p = .007; that is, the higher the participants' arithmetic skill, the smaller the increase in calculation error with articulatory suppression.
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Then, the 2D surface elements are used to create 3D elements; thus, an increase in element calculation methods generally leads to more accurate calculations.
It is easy to factor small numbers, but as they increase in size, calculation time grows exponentially.
Parametric study was also conducted to show that higher accuracy could be achieved with lower values of the viscosity parameter but with an increase in the calculation effort.
Table 2 Correlation between increase in absolute calculation error with suppression and the three concomitant variables Interactivity condition Overall Low High BAS −.28* −.27 −.37** MASWITCH.01.34* SWITCH −.01.04.01 BAS basic arithmetic skill, MAS Mathematics Anxiety Scale, SWITCH attention switching score.
Here the noisy result after FCM clustering tended to cause more error in the subsequent KB selection process, and causes a significant increase in the calculation load.
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