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As for the generalized case, however, there are few studies on theoretical analysis and numerical methods.
The complete mean convergence analysis for the generalized case with arbitrary value of L is quite involved.
However, the generalized case with the time-dependent coefficient of Δu in the main equation is still limited and open.
It is evident that the computational and memory complexities of the generalized case are only negligibly greater.
The direct extension of popular FPCA techniques to the generalized case incorrectly uses a marginal mean estimate for a model that has an inherently conditional interpretation, and thus leads to biased estimates of population and subject-level effects.
We present an algorithm that runs in O(nlog2n) time for the generalized case when the edge lengths are positive real numbers, which indicates an improvement when U="Ω log2n).
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The algorithm for channel coefficient generation is modified in order to consider the generalized cases.
For these cases, the second substituent is not further specified, due to the location of the center atom of the environment; naturally, these generalized cases are more frequent than the more discriminative fragments specifying this part as well.
The corresponding patient case is characterized by features that are inevitably lost during the creation of a generalized case [ 25] that might result from case adaptation.
In this section, we solve the problem for the triangular matrix A. Next, we attempt to solve the problem for a more generalized case.
Moreover, we have shown that the proposed model is a generalized case for non-deteriorating items and several previous EOQ models.
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