Sentence examples for matrix transpose and from inspiring English sources

Exact(9)

"T" and "H" are the matrix transpose and Hermitian transpose.

The chapter concludes by presenting the matrix transpose and the definition of a symmetric matrix.

Here, denotes matrix transpose, and for complex conjugation and conjugate transposition, notations and are used, respectively.

We denote by the matrix transpose, and by the matrix conjugate transpose.

A*, A T, and A H denote the conjugate matrix, matrix transpose, and conjugate (Hermitian) transpose of A, respectively.

A common approach is to adopt the "correlation" term defined as follows: {alpha}_i=left|{boldsymbol{Omega}}_i{boldsymbol{M}}^Tboldsymbol{y}right|,kern1em iin left{1,2,cdots, pright} (6 where M T y resembles the original signal, Ω i denotes the i-th row of Ω, the superscript T denotes matrix transpose, and | ⋅ | takes the absolute value of its argument.

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Qualified classifiers from all of the chemical-tissue conditions, one classifier per condition, were converted into GSEA format (gmt, gene matrix transposed) and organized into two files according to their tissues of origin (brain or ovary).

The operators,, and are the matrix transpose, hermitian transpose, and conjugate complex, respectively.

Superscripts T, H, and −1 denote the matrix transpose, conjugate transpose, and inverse, respectively; t r stands for the trace of a matrix; vec stacks columns of a matrix on top of each other into a single vector; b d denotes a block-diagonal matrix; ⊗ represents the Kronecker product, E denotes the statistical expectation; and I n stands for the n×n identity matrix.

where T is the matrix transpose operator and 0 is a 4 × 4 matrix of zeros.

With the same matrix representation, the quotient matrix of the frequency-domain symbols is provided {left({mathbf{D}}_{div}right)}_{mu, n}={left({mathbf{D}}_{Rx}right)}_{mu, n}/{left({mathbf{D}}_{Tx}right)}_{mu, n}={overrightarrow{k}}_R^Tcdot {overrightarrow{k}}_D (28 with T being the matrix transpose operation and being the matrix multiplication operation.

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