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In addition, Jacket matrices are associated with many kinds of matrices, such as unitary matrices and Hermitian matrices which are very important in signal processing [19, 20] and communication [15, 19, 20].
Currently, the generation of these kinds of matrices is performed manually in most Latin American countries; it means that there are people deployed over the transportation network and they must take data in order to build it.
Actually, there are two kinds of matrices, viz. a refraction matrix describing the refraction at a lens surface, and a translation matrix, describing the translation of the plane of reference to the next refracting surface, where another refraction matrix applies.
We made our choices based on different characteristics of these two kinds of matrices.
In addition to the two differently formatted matrices (PHYLIP versus NEXUS), we also generated two kinds of matrices.
In addition, the EEQs of these kinds of matrices have been previously calculated in other publications [ 14, 36].
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Certain kinds of matrix-valued functions can be factorized using the Potapov factorization theorem.
The attention was focused on the effects produced on the physical and mechanical properties due to different kinds of matrix (epoxy and polyester resins) and filler amounts (60%, 70 %, 80).
In this paper, two kinds of matrix asphalt binders and three kinds of fillers were selected to prepare asphalt mastic with different filler volume fractions, and the dynamic shear rheological properties of asphalt mastics were measured.
The purpose of this experimental study is to describe the macroscopic behaviors of different Kevlar woven composite materials with different kinds of matrix (pure and with acrylate based block copolymer additives: Nanostrength®) under low-velocity impact.
In this aspect, it is already reported about the use of different kinds of matrixes which are mainly prepared with natural polysaccharides, i.e., alginate, cellulose, chitosan, gelatin, collagen, guar gum, dextran, etc. (Chunyu et al. 2011; Giridhar and Akanksha 2011) or peptoid nanosheets (Jun et al. 2015).
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