Sentence examples for matrices which correspond from inspiring English sources

In the following two lemmas, we determine the eigenvalues and eigenvectors of the matrices which correspond to the glide reflections.

Proof We consider the set A = { i A ( 1 ), i A ( 2 ), …, i A } of skew-Hermitian matrices which correspond to the generators in, i.e. i h k = i ∑ p, q = 1 d A p q ( k ) ( f p † f q − δ p q 1 / 2 ).

Both methods proceed by multiplying the matrix by suitable elementary matrices, which correspond to permuting rows or columns and adding multiples of one row to another row.

These matrices, which correspond to the predicted TFBSs, are associated with TFs that possibly bind these TFBSs (see Methods).

The speech distortion index is always greater than or equal to 0 and should be upper bounded by 1 for optimal filtering matrices, which corresponds to the case where the filtering matrix is just a matrix of zeros; so the higher the value of υsd(H′) is, the more the desired signal is distorted.

When CMI or CMP = 0, only incongruent matrices (IM) were included in the set of five matrices, which corresponds to a true H0.

Super Distance Matrix (SDM) [ 15] inserts two types of parameters: (1) weighting factors for each distance matrix, which correspond to a branch lengths scaling for each gene tree, and (2) additive constants for each taxon in each matrix, which correspond to an elongation of terminal branches.

These configurations can be represented within a connectivity matrix which corresponds to a network representation.

In order reconstruct the simulated data, with STIR, we had to calculate system probability matrix which corresponds to this non standard geometry.

The multiplication of [ A m (n 3,n)]−1 and [ b(m,n 3)] matrixes which corresponds to the time domain equalization to obtain the time domain signal ([!hat {x}(m,n)]) in (23) requires the complexity O[ N 2].

If there is no step of list decoding of subspace codes, the matrix which corresponds to the message will not be of low rank in the sense of subspace distance and therefore will not be sparse in Hamming metric.