Sentence examples for matrix each row from inspiring English sources

In the team interaction matrix, each row indicates from which other teams a particular team expects to need information and resources, and each column shows where a team will be expected to provide the information and resources.

d The coefficient matrix, each row in the matrix measures the weight coefficient of the corresponding dictionary over the whole brain.

In this symmetric matrix each row (and column) represents a clique and the matrix elements are equal to the number of common nodes between the corresponding two cliques, and the diagonal entries are equal to the size of the clique.

For a P matrix, each row represents the proportionate interpopulation distribution among fathers of the total number of births to mothers in a given population, ignoring supply restrictions on the number of potential fathers (young adult males); for the A matrices, a row represents the same thing but with the supply restrictions imposed.

In the first profile matrix (the sample matrix), each row corresponded to a sample and each column corresponded to a lipid.

In the profiles second matrix (the lipid matrix), each row corresponded to a lipid and each column corresponded to a sample.

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 these matrices, each row consists of four weights representing different capabilities to combine with nucleotides A, C, G and T, respectively.

Usually function M is given by an m × |??| matrix, where each row of the matrix reflects the frequency of occurrence of each amino acid or nucleotide at the corresponding position of the alignment.

A common form for the latter is called a sociomatrix or adjacency matrix (see Table 2); another is as an edgelist, a two-column matrix with each row identifying a pair of nodes in a relationship.

In that space, the pairwise Euclidean distance between all points is computed, creating a matrix where each row and each column is a point in the phase space, and each element of the matrix is the respective distance.