Sentence examples for matrix in general from inspiring English sources

By the way, I represents an identity matrix in general.

Although the linear precoder matrix, Q ̄ can be any full-column rank matrix in general, we focus on a block diagonal structure.

Since Y ∼ E n × m p ( μ ⋅ ( II m ′ ⊗ I p ), m Σ ) if and only if C = 0, Y may not be a normal random matrix in general.

The rotation matrix in general is given by using 3 axial rotation angles, but can also be expressed by the skew matrix as (16) Consequently, the skew matrix is (17) and then the parameters a, b and c can be computed from (18).

In this study, we investigated the suitability of the GUHA data mining method and the LISp-Miner software to extract relevant information from a big data matrix in general, and in particular a (100 times 83500) data matrix related to road traffic accidents that occurred in Finland in 2004 2008.

Many of these functions of H2A.Z, although seemingly very different, may not be entirely unrelated in a broad sense if H2A.Z is considered a mark that is required to specify the nuclear location of a given region of the genome perhaps with respect to the nuclear periphery, or the nuclear matrix in general.

We observed that when m/n=0.5, e.g., 20×40 sensing matrices, in general, the 3-step TSA provides the fastest result for k=5.

Let us assume that the usual matrix product (EB r,s,t,u)) exists, which is a much weaker hypothesis than the conditions on the matrix E belonging to any class of matrices, in general.

The problem is that covariance matrices and symmetric positive definite (SPD) matrices in general is that they do not lie on the Euclidean space and many common and widely known operations in Euclidean spaces are not applicable or require to be adapted (e.g., a SPD matrix multiplied by a negative scalar is no longer a valid SPD matrix).

With no large penalty constant, the stiffness matrix of the system will in general be well-conditioned, which is of great significance for quasi-static analysis.

One complication of this model, is the specification and estimation of the variance-covariance matrix Σ. Specifying a structured variance-covariance matrix is in general complex and difficult to handle in MCMC estimation since each sampled variance-covariance matrix should be positive-definite [ 15].