Sentence examples for matrices of left from inspiring English sources

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In particular, it is found that for a spherical co-ordinate system, when the source points and field points are chosen in order to sample the source and field appropriately, then the matrices of left and right singular vectors are related to the sampled spherical harmonics by a unitary transformation.

Applying a singular value decomposition then yields (4) H = UΛV' with Λ = Diag { λ r } the diagonal matrix of eigenvalues, and U = { u ri } and V = { v rj } the matrices of left and right singular vectors of H. U is obtained as the matrix of eigenvectors of HH' and V as that of H'H.

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HOSVD is based on the classic tensor unfolding and in particular on the matrix of left singular vectors.

3: Compute the Singular Value Composition (SVD) of, and let be the matrix of left singular vectors corresponding to the m largest singular values.

The difference is then assigned as the value of function f, at point s, y, x: fleft s,y,xright)=mid Lleft y,xright -Rleft y,xright -Rleft y3)Here, y and x correspond to a row and column of an image and L and R are matrices of the left and right images.

However, we have compared the connectivity matrices of the left and right sides of the body in our ssTEM larval sample and found that they are significantly correlated.

The major computational cost of PDA-based algorithms is the calculation of Σ k −1 and the matrix multiplication of left(begin{array}{c} R(mathbf{w}) I(mathbf{w}) end{array}right)^{top} {mathbf{Sigma}_{k}}^{-1} left(begin{array}{c} R(mathbf{w}) I(mathbf{w}) end{array}right).

This adaptation usually results in cardiac remodeling, which is characterized by severe structural changes of myocardial tissue, modification of the extracellular matrix, and reshaping of left ventricle geometry and performance.

The one-dimensional (1D) hyperbolic system is first symmetrized with the aid of left eigenvector matrix of the Jacobian matrix.

Similarly, the system matrix for the attitude dynamics, (F_r(t)), is a function of the state variable (omega ^b) and the attitude input matrix (G_r) is a function of (left[ p^b_c(t times right]) which needs to be estimated from the translational motion.

Its basis is a decomposition of a given matrix into composition of three matrices, so-called left singular = left bottom matrix (it has non-zero members only below its main diagonal), diagonal (it contains positive diagonal elements – singular values) and right singular = right upper matrix (it contains non-zero members only above its main diagonal).

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