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This case can be modeled by applying the same scaling procedure as in (22): (22).
The results for the flame speed reproduce the same scaling obtained using activation energy asymptotics.
The same scaling procedure and scale factors work in one- and multi-dimensions.
The electrical simulation experiment is also based on the same scaling considerations as in the thermal simulation.
Because the logit scale is unbounded, it is not susceptible to the same scaling artifacts as proportion correct.
In contrast with the conventional single layer fuzzy controller, the present method has approximate performance using the same scaling factors.
It is interesting to study the case where nonlinearities are known with the same scaling factor, i.e., Ω = ηI.
All 3D models were scaled to similar sizes and those in the same class share the same scaling factor.
By means of quantities having the same scaling property as the Dirichlet integral, we establish new a priori estimates.
We then construct a new stochastic elliptic model (III): -∇·((a-1)♢ -1)♢ -1x,ω))="f(x), which has the same scaling factor as model (I).
For the same scaling factor and soil texture, simulated shapes of the mean relative differences distributions depended on the duration of the simulation period and the season.
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