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Given a set of shared fragments between the transcript and the genome, we show how to obtain an optimal chain of fragments in O(K) time for disjoint or overlapping fragments (K being the total number of fragments).
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Continue this process K times for the K objective functions.
In each iteration the optimal filtering is performed K times for all angles {θ1,......,θ K }.
Thus we have to solve our original PDE problem (1) K times for different realizations of the reluctivity.
If k is taken as the iteration number for this inner loop, then we will perform k iterations of the inner loop of the algorithm; that is, we will update the ϕ function k times for each updating of the values c1(ϕ n ) and c2(ϕ n ).
This experiment is repeated k times, for each of the k possible selections of the verification set.
X m,n) is equivalent to the repetition of X exactly k times for any integer k satisfying: m ≤ k ≤ n.
Finally, the probability that the throughput constraint B is violated over K time-slots for user i can be approximated as (27).
By Lemma 3.2 of [12], we get u j must change its sign more than k times on for j large enough, which contradicts the act that u j ∈ S k μ.
Specifically, the case/control status is permuted k times, and for each replicate the approximately smallest p-value is calculated by the algorithm.
Probability for the availability of the channel is computed by the RSU based on the number of zeros in the T k time slot, and a database for K time slots, each channel, and each segment is stored.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com