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To estimate the parameters, and, we have used the singular value decomposition (SVD) approach.
We used the singular value decomposition (SVD) method to analyze rodingitization reactions based on mineral compositions of a rodingite sample and a possible protolith (clinopyroxene gabbro).
Prammer (1994) used the singular value decomposition (SVD) method for NMR T2 inversion, and adopted a series of measures to improve the inversion speed for the purpose of real-time processing.
The algorithm to compute the transformation R, T used the singular value decomposition (SVD) [24] approach to find the least square error criterion (Equation 3), ∑ i = 1 N E = ∑ i = 1 N P p i - R P o i + T 2, where N = 4 is the number of FM. (3).
There Gaudette used the singular value spectrum to quantify how the addition of a second wavelength reduced the ill-posedness of the inverse problem.
To investigate the functional relationship between individual modules and stress response, we used the singular value decomposition method as developed by Alter et al. [ 29] and applied by Oldham et al. and Horvath et al. [ 19, 30].
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Composition matrices for different hydrological conditions are analyzed by using the singular value decomposition technique.
The overdetermined system of linear equations is robustly solved using the singular value decomposition (SVD) method.
We then calculate the closest orthonormal basis to B using the singular value decomposition.
Rank reduction is achieved by using the singular value decomposition (SVD).
The theoretical control properties of those schemes were obtained using the singular value decomposition technique in all frequency domain.
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