Definition of diagonal matrix in English:

diagonal matrix

noun

Mathematics

A matrix having non-zero elements only in the diagonal running from the upper left to the lower right.
〔数〕对角矩阵
Example sentencesExamples
- Then, C is subjected to spectral decomposition as C = VÎV T, where V is an orthogonal matrix containing the set of eigenvectors and Î is a diagonal matrix containing the set of eigenvalues.
- It is also orthogonally similar to a diagonal matrix corresponding to the principal directions of the g-tensor so that its trace is equal to the sum of the squares of the three g-values of the EPR species, F- A in this case.
- The singular values from the diagonal matrix, together with the corresponding rows or columns of the protein and peptide matrices comprise the singular triplets presented in rank order.
- The diagonal matrix at the bottom presents the statistical significance of the nonrandom associations between the pairs of sites.
- Rate equations in a simplified form are given by JONG 2002, where R is a diagonal matrix and G is a vector of nonlinear functions.

Definition of diagonal matrix in US English:

diagonal matrix

noun

Mathematics

A matrix having nonzero elements only in the diagonal running from the upper left to the lower right.
〔数〕对角矩阵
Example sentencesExamples
- The diagonal matrix at the bottom presents the statistical significance of the nonrandom associations between the pairs of sites.
- It is also orthogonally similar to a diagonal matrix corresponding to the principal directions of the g-tensor so that its trace is equal to the sum of the squares of the three g-values of the EPR species, F- A in this case.
- The singular values from the diagonal matrix, together with the corresponding rows or columns of the protein and peptide matrices comprise the singular triplets presented in rank order.
- Rate equations in a simplified form are given by JONG 2002, where R is a diagonal matrix and G is a vector of nonlinear functions.
- Then, C is subjected to spectral decomposition as C = VÎV T, where V is an orthogonal matrix containing the set of eigenvectors and Î is a diagonal matrix containing the set of eigenvalues.

词汇	diagonal matrix
释义	Definition of diagonal matrix in English: diagonal matrix noun Mathematics A matrix having non-zero elements only in the diagonal running from the upper left to the lower right. 〔数〕对角矩阵 Example sentencesExamples Then, C is subjected to spectral decomposition as C = VÎV T, where V is an orthogonal matrix containing the set of eigenvectors and Î is a diagonal matrix containing the set of eigenvalues. It is also orthogonally similar to a diagonal matrix corresponding to the principal directions of the g-tensor so that its trace is equal to the sum of the squares of the three g-values of the EPR species, F- A in this case. The singular values from the diagonal matrix, together with the corresponding rows or columns of the protein and peptide matrices comprise the singular triplets presented in rank order. The diagonal matrix at the bottom presents the statistical significance of the nonrandom associations between the pairs of sites. Rate equations in a simplified form are given by JONG 2002, where R is a diagonal matrix and G is a vector of nonlinear functions. Definition of diagonal matrix in US English: diagonal matrix noun Mathematics A matrix having nonzero elements only in the diagonal running from the upper left to the lower right. 〔数〕对角矩阵 Example sentencesExamples The diagonal matrix at the bottom presents the statistical significance of the nonrandom associations between the pairs of sites. It is also orthogonally similar to a diagonal matrix corresponding to the principal directions of the g-tensor so that its trace is equal to the sum of the squares of the three g-values of the EPR species, F- A in this case. The singular values from the diagonal matrix, together with the corresponding rows or columns of the protein and peptide matrices comprise the singular triplets presented in rank order. Rate equations in a simplified form are given by JONG 2002, where R is a diagonal matrix and G is a vector of nonlinear functions. Then, C is subjected to spectral decomposition as C = VÎV T, where V is an orthogonal matrix containing the set of eigenvectors and Î is a diagonal matrix containing the set of eigenvalues.
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