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By the same procedure, we define analog generators.
Before the design procedure, we define a positive constant as follows: tau_{k}=big| h_{k}^big| ^{2},quad k=0,1,2, ldots,n.
To follow the experimental procedure we define the variables in the mathematical model describing the system in a single cell.
Similar(57)
As attributes to be used in the ranking procedure, we defined module weights.
If both QTL effects remained significant after this procedure, we defined them as independent QTL.
For the first entry point in the second procedure, we defined the Y coordinate as (−1, +2).
To account for geographical incompleteness of sampling and small inaccuracies in the mapping procedure, we defined < 0.05 overlap as complete allopatry and > 0.95 overlap as complete sympatry.
For this, we re-organize the square of the coefficients as a function of the azimuthal ratio a z=m/n, which varies from 0 for purely zonal terms to 1 for sectoral terms (see Sabaka et al. 2004 for a description of the procedure) and we define az positive for the (_{i,j}!,{g_{n}^{m}}) and negative for the (_{i,j}!,{h_{n}^{m}}) model coefficients.
All the simulations in this paper followed the same procedure: first we define a model that captures the problem of interest in terms of a Markov decision process.
After the shuffling procedure we can define two distributions, the real distribution found from the actual sequence and the Maximal Entropy Distribution (MED) which we use as the surrogate for the background.
This index can be computed by this procedure, for which we define the threshold by considering the suggested C (defined in Equation (7)) in the Huber procedure and by considering scaled residuals.
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