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The use of non-redundant data sets minimizes alignments between structures of high sequence identity, hence weakening the influence of non-sequence factors.
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In addition to normality, log transforming reduces the level of heteroscedasticity in the data set, minimizes the effect of extreme outliers, and allows for the visualization of data in a linear fashion, which simplifies the visual comparisons of slopes [ 81, 115].
Giving the adhesive time to set minimizes the risk of smudging the stenciled design.
In this model, we set minimizing total cost as an objective function subject to various constraints including resource availability, demand satisfaction, energy flow conservation, and the limited capacity of technologies.
The parameter set minimizing the mean distance is the best set.
minimizing a nonconvex function on a convex set; minimizing a convex/nonconvex function on a nonconvex set; minimizing a convex/nonconvex function on a convex/nonconvex set with integer variables.
In terms of optimization, nonconvex problems appeared in CS can be divided into three classes: minimizing a nonconvex function on a convex set; minimizing a convex/nonconvex function on a nonconvex set; minimizing a convex/nonconvex function on a convex/nonconvex set with integer variables.
The optimal configuration of the parameters was chosen to be the set minimizing the mean squared prediction error (MSPE).
Moreover, the corresponding MST for such a set minimized the number of genes not contained in the set.
Rapid identification and differentiation in a public health setting minimized the potential for spread of the virus.
Homolytic bond dissociation energies (BDEs) studied with a variety of density functional theory (DFT) methods also indicate B3LYP usage with a correlation-consistent basis set minimizing the deviation from benchmark calculations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com