Exact(6)
Third, the four iterative algorithms proposed in this paper are very different from the iterative algorithm in [[35], Theorem 3.1] because two iterative algorithms are implicit ones and the iterative step of computing x n + 1 in other two explicit iterative algorithms involves the sum of three terms.
We have unified social and natural sciences by showing that the above methods are applicable in both disciplines, at least if willing to take the trivial step of computing diversity as one minus segregation.
This first step of computing individual correlation dimensions already hints at a difference between the stochastic ISI series and the fly series: all four traces appear very similar, but the fly data each converge on a specific dimension while the cox series diverges with increasing embedding dimensionality (Fig. 4a).
Although significance assessment can be based on fewer SNP pairs, this first step of computing test values and ordering them cannot be avoided nor simplified.
In practice, the runtime for the additional step of computing the PCs for the genotype matrix is minimal because both methods require several spectral decompositions of matrices of nearly the same size for the cross-validation step.
We observe that the computationally expensive step of computing the fusion transcript reading frame is justified in the eyes of the classifier, as it is the single most informative feature.
Similar(54)
Since the steps of computing the equivalent channel for receive beamforming and transmit beamforming are similar, we generally explain the methods for finding the equivalent channel using and.
The iterative scheme (4.1) in our Theorem 4.1 is very different from every one in [[9], Theorem 3.1] and [[11], Theorem 3.1] because two explicit iteration steps of computing y n and z n in [[9], Theorem 3.1] and [[11], Theorem 3.1] are replaced by three iteration steps involving two implicit steps in the iterative scheme (3.1) of our Theorem 3.1.
The iterative scheme (3.1) in our Theorem 3.1 is very different from every one in [[9], Theorem 3.1] and [[11], Theorem 3.1] because the final iteration steps of computing x n + 1 in [[9], Theorem 3.1] and [[11], Theorem 3.1] are replaced by the implicit iteration step x n + 1 = P C n ( ( 1 − β n ) x n + e n − σ n ∇ f ( x n + 1 ) ) in the iterative scheme (3.1) of our Theorem 3.1.
We further make some comments on Algorithm 1. Step 1 of computing u k+1 is from the first equation in (8); step 2 of computing w k+1 is from the second equation in (8) and Lemma 2.2; step 3 of computing v k+1 is exactly the same as the last equation in (8).
Given the "direction vectors": (7). the final step consists of computing the edgeness as follows: (8).
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