In case of feature vectors for unitary Hermitian matrices, the number of ones is equal to 2 and for non-Hermitian matrices: 4 and 5.
If both X k and A k are diagonal matrices, the number of complex multiplications and additions is be reduced to a great extent.
The main numerical result of the experiments is given in Table 1, where,,, undeter denote the number of strictly copositive matrices, the number of copositive (but not strictly) matrices, the number of noncopositive matrices, and the number of the remained matrices whose copositivity could not be determined by our algorithms, respectively.
For big, dense matrices, the number of edges in the resulting complete multidigraph (of edge multiplicity two) equals the number of entries in the transition matrix and is thus too big for easy interpretation.
For instance, if 597 animals (top 30%) were selected using GN, 456 animals among the 597 would also be selected using A. For other genomic matrices, the number of animals selected in common with GN was: 567 for G05, 568 for GMF, 593 for GOF, and 554 for GOF*.
To find the optimal rotation matrix, it suffices that we try all the possible values for each entry in Equation 8. Since there are ℓ 27 c max 18 matrices, the number of total transformations to examine is bounded by O (ℓ 33 c max 34 ).
The matrix V is a cell matrix: the number of elements in each row is distinct.
When is a square matrix, the number of individual submatrices is calculated using the following: (10).
Due to the correlation structure in the sensitivity matrix, the number of components from the PCA model is fewer than the number of parameters.
On top of that, to calculate a distance matrix, the number of computations is quadratic to the number of displayed scaffolds.
In transfer matrix, the number of sign changes in each column of the sequences is the same and it increases from left to right.
