The application of this theory to study the release and hydration rate of hydrophilic matrices allows to explain the changes in release and hydration kinetics of swellable matrix type controlled delivery systems.
Spectral analysis on correlation matrices allows to easily differentiate random correlations, simply deriving from the finite length of the process, from non-random signals reflecting the intrinsic system properties.
The incorporation this particles into to polymeric matrix, allowed to obtain performance corrosive properties.
This representation of orientation by the rotation matrix allows to overcome the problem of singularities that appear in local parametrization such as Euler angles.
The model parameters variance covariance (VC) matrix allows to design controllers with a consistent control action, even in the presence of moderate model mismatch.
Eigensolution of the stiffness matrix extended on geometrical stiffness matrix allow to identify if the self -stress stabilizes the equilibrium of the structure – if the mechanisms are infinitesimal or finite.
The exploration of the correlation matrix allowed to uncover strong associations between some variables (BODi CODi, SSi BDOo, CODo SSo) as well as a lack of association between the others (Twater and SSo).
Finally, the addition of PCL to TPS matrix allows to overcome the weakness of pure TPS: low resilience, high moisture sensitivity and high shrinkage, even at low PCL concentration, e.g. 10 wt.%.
The properties of this matrix allows to define a particular unconditionally stable numerical integration approach, which is composed of two independent step-by-step procedures, a progressive one and a regressive one.
Probabilistic matrix factorization expands the scope of this technique to incomplete matrices, allowing it to predict empty values in the matrix.
