We parameterize the gain matrices using the LMI conditions.
Next, we developed three-dimensional (3D) peptide-HA matrices using the A99/AG73 mixture.
We provide Arikan polar binary and Alamouti non-binary matrices using the proposed simple inverse and the fast inverse algorithm.
AHP employs pairwise comparison matrices using the 1 9 scale to assess alternatives and criteria in the hierarchy.
To this aim, we compared contact matrices using the basic reproductive number (R_{0}), following the approach of Hens et al. [5].
To check the validity of clustering results, we obtain the Pearson correlation matrices using the de-seasoned event rates, Δ ρ i s ( t ).
Then, we optimize all relay matrices using the receiver matrices in this iteration and the source matrices from the previous iteration.
In the last proposed method we find higher-order matrices, using the and its weighted powers with for a better definition of the commuting matrix.
This, in turn, is achieved by identifying 'good' unitary matrices using the relation (16), between G j and, such that Equation 21 is minimized.
This study proposes a new approach to the optimization of the extraction of the volatile fraction of plant matrices using the headspace solid-phase microextraction (HS-SPME) technique.
Next, we synthesize some porous samples of these matrices using the emulsion-templated polymerization approach usually known as polyHIPE (for polymerized High Internal Phase Emulsion).
