Sentence examples for mean matrices and from inspiring English sources

The mean matrices and the dispersion parameters associated with the mass and stiffness matrices are necessary to obtain the density of the eigenvalues in the frameworks of the proposed approach.

The condition has also been examined using a few examples with different channel mean matrices and antenna pairs.

We note that the symbols, mean matrices, and the inequality (4.18) between two vectors represents inequalities between their corresponding coordinates.

Suppose that (p>1) and (M_{a}=(a_{n,k})) is the weighted mean matrix and ((a_{n})) is an increasing sequence with (a_{n}uparrowalpha) and (alpha

Suppose that (p>1) and (M_{a}=(a_{n,k})) is the weighted mean matrix and ((a_{n})) is a decreasing sequence.

Specially (Vert N_{a} Vert _{c,p,w}rightarrow1), when (alpharightarrowinfty). Suppose that (p>1) and (M_{a}=(a_{n,k})) is the weighted mean matrix and ((a_{n})) is an increasing sequence with (a_{n}uparrowalpha) and (alpha

We apply the above theorem to the following two Nörlund and weighted mean matrices.

Moreover, we apply our results for Cesàro, Nörlund and weighted mean matrices.

Here we say that a matrix is a weighted mean matrix if for and (1.3).

In this study, the rank of channel mean matrix is generalized and it is not limited to be 1.

Additional file 1 Figures S5a and S6a show the mean confusion matrix and the mean classification performance (prediction compared with true target), respectively, of 10 randomly selected test datasets [ 26, 27].