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Real association matrices were reduced by randomly extracting interactions, e.g. from the total of m = 2183 visits in Memmott's web down to m = 5 visits (in steps of five, repeated ten times for each m).
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Accordingly, the nonlinearity of the interpolation is improved and the rank deficiency of the covariance matrices is reduced.
Hence, the size of measurement and sparsifying basis matrices are reduced and the reconstruction algorithm can be implemented in parallel.
The aerodynamic influence coefficient (AIC) matrices at different folding angles are obtained by the Doublet Lattice based aerodynamics theory, and then the orders of these AIC matrices are reduced by the spline interpolation technique.
The length of the feature vectors in these matrices is reduced by performing a principal component analysis (PCA) [ 27].
To visualize the conformers in a 2D scatter plot, the dimensions of the RMSD matrix were reduced using PCA.
Negative matrix effects due to the complexity and lipophility of the studied matrix were reduced by diluting the sample with distilled water.
Although the dimensions of the random matrix were reduced and the PSNR of the reconstructed signal declined somewhat, it was also possible to improve the accuracy, provided that the generated random matrix satisfies the RIP and NSP appropriately.
When t > 1, such as t = 2, the dimensions of the random matrix were reduced by four times, and if t = 8, the dimensions can be reduced by 64 times.
In this study, AZ61B alloy composites reinforced with CNTs (CNT/AZ61B) were fabricated by powder metallurgy method, and their potential differences between CNTs and the α-Mg matrix were reduced by concentration of Al atoms around CNTs via heat treatment.
The 59 RF variables in the CUPrefs matrix were reduced to two dimensions using MDS procedure (fig. 5).
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CEO of Professional Science Editing for Scientists @ prosciediting.com