The constant orders of magnitude were −20 N/mm2 at 0.05 mandm2 and −60 N/mm2 at 0.2 mA/cm2.
It is important to note here that the constant-order fractional derivative can be seen as a special case of the variable-order fractional derivative.
However, it has been found that the constant-order fractional diffusion equations are not capable of characterizing some complex diffusion processes, for instance, diffusion process in aninhomogeneous or heterogeneous medium [7].
In addition, when we consider the diffusion process in a porous medium, if the medium structure or external field changes with time, in this situation, the constant-order fractional diffusion equation model cannot be used to well characterize such a phenomenon [8 19].
In previous works, we provided an algorithm for finding non-zero components of l i, r i, based on the network topology and the constants ordering, which gives a good approximation to the problem solution [ 42, 48, 50].
Thus, if we can provide an algorithm for finding non-zero components of l i k, r i k, based on the network topology and the constants ordering, then this will give us a good approximation to the problem solution (2).
The extrapolation is usually constant (order 0), although account can be taken of any current increasing or decreasing linear trends (order 1).
Importantly, the choice of model has only consequences for the resulting spectra and not for the fitted rate constants (the order of rate constants is irrelevant for the fit quality).
To cluster the samples, we discarded the constant genes in order to avoid background noise.
The constant and high-order items are totally discarded, which will introduce errors.
