In particular, if the problem data includes a large linear operator or matrix, the method allows for handling each subblock of on a separate machine.
Different approaches have been proposed to identify incongruent matrices within a set of multiple matrices; the methods and problems associated are discussed in [ 38, 71].
Founded on the message passing approach and theory of non-backtracking matrices, the method calculates the so-called collective influence (CI) for each node to rank the nodes for prioritization.
In order to improve the consistency of the matrices, the method proposed by Zeshui (2004) was adopted.
Smith-Waterman dynamic programming (see Methods) automatically removed ambiguities in the resulting similarity matrix, assuring the method's high accuracy.
The high-order thin layer method is compared to the thin layer method, the stiffness matrix method and the exact Zoeppritz method in terms of accuracy and efficiency.
Potential binding sites are detected with TRANSFAC weight matrices by the method of [ 29].
However, compared to the other matrix decomposition methods, the PCA has several limitations.
The backscattered Raman signal intensity is numerically determined for wavelengths corresponding to the Raman active bands using the scattering matrix method [See Supplementary Methods].
The stiffness matrix method is the customary method utilized in computer programs for the solution of building structures.
