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We use the induced electric current as the main electromagnetic variable to compute low magnetic Reynolds number magnetohydrodynamic (MHD) flows.
Locally linear embedding (LLE) [ 43] is a recently proposed unsupervised learning algorithm to compute low dimensional embedding of high dimensional data, while neighbourhood relationship is preserved.
LSA is a method that basically uses SVD to reduce the dimension according to singular values, while LLE and Isomap both compute low dimensional embedding based on k nearest neighbours.
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We describe a FORTRAN-90 program to compute low-energy electron diffraction I V) curves.
At render time, when blocks are tiled to produce a high-resolution volume, we accurately compute low-order scattering, with modular flux transfer used to approximate higher-order scattering.
A method is developed to compute low-level response amplitude exceedance probabilities associated with uncertain nonlinear structures with random parameters and deterministic periodic forcing.
However, HR-LS is able to compute low-Shapiro number steady states as well as wave reflections and transmissions with satisfying accuracy and is simpler and computationally less expensive than HR-S.
In the case at hand, it is reasonable to assume that a static distribution will yield a better result than a balanced distribution due to the negligible variability in the computational cost associated with each ray; that is, it is unlikely that any one processor will have to compute a large amount of high-cost rays while others compute low-cost rays.
The first step of clusDCA is to use DCA to compute low-dimensional vector representations of genes in molecular networks.
Some limitations are inherent in these types of calculations, including using high-dose acute kinetic studies to compute low-dose chronic exposure estimates and difficulty in accurately accounting for additional (nonadduct) and variable pathways of acrylamide metabolism and elimination.
Although this uncertainty will be present in all efforts to estimate risk in humans using animal data, it argues that intensive efforts to develop data and models for BBDR modeling of specific end points observed in animals to compute low-dose risk may not be a wise use of resources.
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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