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The sensing matrices are divided into two categories.
The database matrices are divided into categories depending on their length.
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Each value of the co-occurrence matrices was divided by the total number of measures of the individual municipality to present the share of measures in which specific categories (co- occurred.
Thus, the SSCP matrices were divided by the appropriate degrees of freedom, and effects were separated according to the expected mean squares in the ANOVA by subtracting the interaction covariance (VCV) matrix from the interindividual VCV matrix, and the error VCV matrix from the interaction one.
All the cells forming this initial matrix are divided into two groups: cells belonging to the surface layer and cells internal to the surface layer.
In SVD, the original matrix is divided into multiple vectors that are orthogonal to each other.
1 This matrix is divided into two parts and has the form (left (H_{1}|H_{2}right)).
Furthermore, the non-symmetric stiffness matrix is divided into the corresponding symmetric and anti-symmetric stiffness matrices.
The test matrix was divided into five groups, of which the first group was composed of 14 unstrengthened columns.
The detector matrix is divided in 9 square units, each unit is composed of 256 detectors shared in 16 modules.
Afterwards, each element in the column matrix is divided by the sum of the elements in the column.
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CEO of Professional Science Editing for Scientists @ prosciediting.com