Sentence examples for matrix of determinant from inspiring English sources

Exact(1)

Because Θ is a diagonal matrix of determinant 1, it follows that when (m=1), (Q^{-1}MQ) is a diagonal matrix; when (m=-1), (Q^{-1}MQ) is an off-diagonal matrix; when (mnepm1), (Q^{-1}MQ) and hence M is a zero matrix.

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Within this matrix of determinants, the social psychology cluster inclusive of television (TV) watching and media availability is influential at the societal level.

In order to extract the global system matrix of which the determinant gives natural frequencies, a special way of individually considering the two rectilinear parts of the bent interface and extracting local system matrices by means of applying the compatibility condition to each rectilinear part is revised.

E ε i 2 = σ 2 h z i. E[ε i ε j ] = 0 with i ≠ j; Where: y is i × 1 vector of observations HNV farmland indicator; X is the i × k matrix of the k determinants of the HNV farmland indicator; β is the vector of regression parameters (to be estimated); ε is the error term; W i is the i × i matrix of spatial weights; ρ and λ are the spatial lag parameter and the spatial error coefficient, respectively.

where and denote the rate of the first and second user, respectively, denotes transpose conjugate of matrix, is the determinant of matrix, and is the th user data covariance matrix, that is, and.

Comparison with several existing methods provided further evidence for the effectiveness of the proposed method. 1 A consequence from the Euclidean averaging of SPD matrices: the determinant of the Euclidean mean can be strictly larger than the original determinants, which is physically unacceptable.

To express g as a linear sum of a and b, both sides of this equation can be multiplied by the inverse of the matrix M. The determinant of M equals (−1 N+1, since it equals the product of the determinants of the quotient matrices, each of which is negative one.

D-optimal designs are used to best estimate the factor effect and are optimized by minimizing the matrix determinant of the squared design matrix.

The interest points or features are extracted by examining the extreme value of determinant of Hessian matrix.

It is invertible because the matrix has determinant value of 1, and therefore, its inverse has integer entries with larger numbers.

Subsequently, a correlation matrix of all social-cognitive determinants was generated.

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