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For the approximation presented in this paper, we used the saddlepoint formula employed previously by Daniels [2, 3] and developed by Lugannani [11].
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For simplicity, we employ a useful approximation presented in [16], namely.
Changes in the coefficient of energy savings during a day for three traffic pattern approximations presented in Figure 11 confirm these statements.
The approximations presented here hold for the short-term evolution of phenotypic traits and allele frequencies.
The model presented in this paper is a very crude approximation of reality.
So for large n it is expected that our algorithm will outperform the approximation algorithm presented in [ 2].
Therefore, sub-optimal methods for finding some approximation k′≥k of the clique-width are presented in this work.
The results obtained from in-situ experimental testing confirmed that the equations that are presented in this paper can serve as a reliable tool for DREC approximation.
This approximation is presented in the next section.
For this reason, we found a very accurate approximation for the bit error probability presented in the sequel.
The value of tcrit corroborated the theoretical approximation of the time constants presented in Table 1.
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