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The eigenvalues of preconditioned matrices are analyzed.
Preconditioning the Jacobi Davidson correction equation is mandatory when large, sparse matrices are analyzed.
Subsequently, the statistical properties of the spectra of the newly generated matrices are analyzed by employing tools borrowed from random matrix theory.
Their current interest matrices are analyzed and compared to define the interest difference between user u x and u y as shown in Eq. (4), by averaging their interest difference for all spots.
Character-by-taxon matrices are analyzed for the purpose of recovering phylogenetic relationships or for examining patterns of character change on a given phylogeny.
Usually, the information contained within these two sets of matrices are analyzed independently using respective population genetic statistics (i.e. diversity indices and differentiation measures) and phylogenetic methods.
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The matrices were analyzed by ALS Laboratory to target more than 40 VOCs and SVOCs.
The influence of the chain microstructure on release process of doxorubicin from polymeric matrices was analyzed.
Cytokine secretion and cell morphology of human peripheral blood monocytes allowed to differentiate on the different matrices were analyzed.
The morphology of the gel particles, as well as the gel filled matrices was analyzed with the help of atomic force microscopy (AFM).
Moreover, the presence of carbon polygons other than hexagon in graphene matrices is analyzed by a high-resolution pair distribution function obtained from neutron diffraction measurement.
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