Sentence examples for matrices degree from inspiring English sources

These include interchange graphs, their spanning trees, and their fundamental cycles and cutsets; adjacency matrices; degree sequences, and characteristic polynomials.

Zero-forcing precoding is considered to cancel the inter-cell interference and J ≥ M should be assumed to guarantee the matrices' degree of freedom.

In all tablet matrices, degree of swelling and permeability of E-RL in acidic medium could be extremely lowered or even prevented resulting in decrease in drug release rate.

Vertex degrees for each matrix are shown in Figure 2. In both matrices, degrees varied over a broad range without presenting evidence of a scale-free organization.

That is because when J is comparable with M, the matrix degree of freedom would be used for canceling the interference in ICIC and then the diversity gain decreases.

We considered three factors that may affect the performance of the algorithm, that is, the cut-off threshold applied to FET result for switching FDR (or p values) to the binary observed state (only for FHB), the transition matrix (degree of spatial dependency) used to generate the ground truth, and the sequencing depth (library size) of the data.

Thus the transition probability matrix (often called the random walk matrix) is the normalized adjacency matrix where each row sums to one: Here the D matrix is the degree matrix, which is a diagonal matrix given by In a random walk it is useful to consider a probability distribution vector p over all the nodes in the graph.

In this study we took all evidence from a qualitative review of patient's perspectives on helping them manage their disease and logged in matrices the degree to which interventions identified in a complementary Cochrane review corresponded with those perspectives.

First, following the same procedure as in [32, 34], we collected a phenotypic disease similarity matrix from [50], where an element of the matrix represents degree of similarity between two phenotypes.

The simple way to determine the Laplacian matrix is subtracting the degree matrix with the adjacency matrix.

A differentiation matrix, (mathbf {D}), of size (n+1) in a certain basis is a nilpotent matrix of degree (n+1).