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The most simplified skeletal mechanisms show an error in the prediction of temperature and fuel profiles lower than 3%, except for the case of low temperature and lean mixtures, where the maximum error increases up to 14%.
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From Table 1, we can see that the maximum absolute error increases drastically as the parameter β increases.
end{aligned} (3.29) As shown in Figure 3, it is observed that the maximum absolute error increases drastically as the spectral dimension (d_{s}) increases.
Compared to the direct solution the median and maximum relative error increases, which is a consequence of the approximations (11) and (12).
Figure 8 Zone concentration maximum error with increasing QoD bounds σ.
The decrease in maximum error, as (M) increases, is indisputable.
A value of n = 0.5 increases this maximum error to just under 2.5% for both systems but average errors in this instance remain below 0.5%.
The maximum error gradually decreases with the increasing number of time and space steps.
Encouragingly, the maximum error decreased by 14.71 kcal/mol, while it increased by 10.95 kcal/mol with the first approach.
The maximum error always stays below our defined threshold (vector ν) and the error increases with a linearly tendency as the waves or number of changed detectors increase.
The maximum error in predicting location of cracks decreases with an increase in the number of cracks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com