"smooth distribution" is grammatically correct and can be used in written English.
It is typically used in mathematics, statistics, or other technical fields to describe a continuous and evenly spread out distribution of data or events. Example: "The data showed a smooth distribution, indicating that the company's sales were evenly spread throughout the year."
The use of a smoothness constraint is required to reproduce a smooth distribution among non-zero-slip subfaults.
The smooth distribution of traffic through the system is often monitored by closed-circuit television, which allows effective centralized control.
These two points, which are not user generated, are clearly visible above the rather smooth distribution.
On the other hand, the sparsity constraint cannot reproduce a smooth distribution.
In order to obtain a smooth distribution over this value, we apply an extrapolation technique.
The chromatogram shows a smooth distribution of n-alkanes ranging from n-C12 to C22, maximising through n-C15.
It is also shown in [1] that smooth distributions are easily generated without the need to employ smoothing techniques, as usually required instead using customary stress recovery procedures.
Here, smooth distributions of void ratio and shear stress components are obtained within the shear band, what the other previous numerical investigations did not receive.
Insensitive parameters are expected to give rise to flat and smooth distributions (for example, see Figure 5f).
The number of control clusters is not large enough in many cases to create smooth distributions for purposes of percentile ranking; therefore, we divide the control distribution into 10 bins, that is, deciles rather than percentiles.
To address this problem, we hope to obtain a different set of particles which are still distributed according to the smoothing distribution.
