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We solve this issue in this paper, by developing the first and second order temporal approximation schemes based on the "Invariant Energy Quadratization" method, where all nonlinear terms are treated semi-explicitly.
In recent years, a large number of different types of nanocrystals have been synthesized using the so-called "heating-up method" where all precursors are mixed at ambient temperature and heated subsequently [38 40].
The resulting set of discrete semi-smooth equations can be solved efficiently by a variant of Newton's method, where all additionally introduced variables are condensed from the global system so that a linear system only consisting of the displacement degrees of freedom has to be solved in each iteration step.
For both PRISM and multislice, Prismatic implements two different memory models, a single-transfer method where all data is copied to the GPU a single time before the main computation begins and a streaming mode where asynchronous copying of the required data is triggered across multiple CUDA streams as it is needed throughout the computation.
In other words, PCA, ICA, NMF, and their variants all belong to a single-resolution feature selection method, where all features are indistinguishably analyzed in a single-resolution despite the nature of their frequencies.
Data can be recorded via different modalities, and we will be using the zero crossing method, where all accelerations (>0.1G), which cross a certain threshold (0 or very close to 0), will be detected.
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The clustering can be based on either agglomerative methods, where all instances are assigned their own class and these classes are merged, or divisive methods, where everything is assigned to a single class and this class is subdivided.
In this way more optimal solution methods can be adopted for each operator, in contrast to more traditional computational fluid dynamics (CFD) methods where all equations (and operators) are normally solved by the numerical solvers originally intended for pure flow calculations.
In behavior counting methods, where all behaviors are counted, applying nuances is difficult, while with the so-called "rating scales" specific behaviors can be grouped under broad categories.
Having a single reference species or strain is at odds with traditional sequence based phylogenetic distance methods, where all pairwise comparisons among the taxa are used in constructing a species tree.
These antenna selection schemes range from the conventional hard selection method where only part of the antennas are active, to some newly proposed methods where all the antennas are used, which are categorized as soft selection.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com