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A matrix approach has been adopted to process the information retained from a CAD model.
Distributed controller design commences with formulating the problem, where a structured matrix approach has been put in practice.
Moreover, the transfer matrix approach has also been used to simplify the complexity of the objective function gradient for the optimization method.
This matrix approach has also been successfully applied in [17, 24] for the construction of a boundary values theory of -monogenic functions.
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Indeed, a matrix approach had to be followed in order to obtain the desired result, leading to the concept of (left or right) -monogenic functions, introduced as circulant matrix functions, which are (left or right) null solutions of a circulant matrix Dirac operator, having the Hermitean Dirac operators and as its entries.
Linear matrix inequality approach has been employed to solve the stability and control design problems.
Despite the limitations stated previously of inferring phylogeny from an SNP matrix, this approach has yielded far more variable characters for inferring evolutionary history than any previous study.
The Structure-Activity Relationship Matrix (SARM) approach has originally been designed to extract and organize SAR-informative compound series from large data sets and has been further extended to help bridge the gap between data-driven SAR analysis, compound design, and activity predictions and study compound series in multi-target activity spaces.
Recently, new techniques based on a covariance matrix fitting approach have been considered to summarize multiple snapshots, e.g., [26 28].
Based on the array response matrix from LDA, our approach has been used to measure bacteria with an accuracy of 87.5% for 107 cfu mL−1 within 20 min.
Although it may be possible to create new matrices de novo, one promising approach has involved adding biotherapeutics and gene-based medicines to commonly used and clinically approved matrices before their deployment [ 1, 2, 6, 7, 10- 16].
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