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A strictly positive threshold e σ is set and can be as small as needed; this entails that the algorithm proceeds iterations as long as | σ ̂ ( i ) 2 − σ ̂ ( i − 1 ) 2 | > e σ.
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Completing this process on all molecules of the training set finishes iteration 0. The system then proceeds with iterations 1, 2, etc., in which newly learnt chemical shifts are used as additional restrictions for subsequent assignments.
The BP algorithm proceeds iteratively, and computes log likelihood ratios of the transmitted bits which become more reliable with each iteration.
The algorithm proceeds iteratively by testing all possible SPR operations (i.e., HGTs) between pairs of branches in the gene-content tree T k -1 (T0 = T gc at iteration 1 or transformed tree at the following iterations) except the transfers between adjacent branches and those violating the constraints (see Supplementary Text).
The proposed maximal assortative matching (MAM) algorithm for maximizing the assortativty index of the matching (to be as close to 1 as possible) proceeds in iterations.
The search for the optimal solution proceeds in iterations.
The level of fitting is based on the least-squares method and the fitting process proceeds in iterations until the R-square value is >0.6[ 98].
It proceeds to Iteration 2 and considers window and |ω ℓ |<|ω ℓ+μ |.
We next proceed by iteration.
Proceed to iteration n + 1.
The simulated annealing proceeds through 1000 iterations, with a 0.1% decrease in effective temperature at each iteration.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com