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Upon formulation of Green's matrices the solution space is studied in terms of completeness and convergence (uniformity and rate).
The new GPU code written in CUDA Fortran alters three kernels: the calculation of influence matrices, the solution of equations, and the computation of internal values.
Except for huge matrices, the solution is not very sensitive to the parameter variation.
As a result of differences in buffering among matrices, the solution pH should have increased more in the cathode chamber for waters with low alkalinity.
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Since the transformation matrix M is generally not a full rank matrix, the solution is not exclusive in Eq. (21).
Unfortunately, only modest levels of polypeptides are synthesized via in vitro translation, and the crude sample matrix (the solution containing the sample, which includes proteins, surfactants, nucleic acids, salts, etc).
The covariance matrix is estimated by taking inverse of the Hessian matrix at the solution.
That is, this 3×3 sized bicluster is a sub-matrix of the solution.
The choice of regularization matrices may affect the solution quality, which is investigated in this study.
Another application of matrices is in the solution of a system of linear equations.
Growth factor releasing matrices could be the solution to this problem in future studies.
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