indicates that by precoding the transmitted signals along the weakest eigenvector
of the unintended user's channel covariance matrix, the inter-user interference can be effectively suppressed.
And the optimal projection space X can be determined by the spread of eigenvector
However, there are more ways for how to calculate the eigenvector
Similarly, "2-reach centrality" was used to explore the proportion of nodes that can reach a given node in 2 steps or less while "eigenvector
centrality" was used to measure the importance of a node depending on the importance of its neighbours.
(3) Extrapolate for source eigenvector
[[bar.[PHI]].sub.Z] via Nystrom approximation by (6).
The classification results of the control group and treatment group were determined using the first eigenvector
of the LDA algorithm and the MPA and MNA feature values.
Then, these two operators have common eigenstates in [H.sub.q], say |[[psi].sub.i](q)>, but there is no eigenvector
in [H.sub.q] [cross product] [H.sub.t] that can simultaneously satisfy both Schrodinger equations (3) and (5).
Form the column image vectors and find out the all scatter matrix values, and then with the use of this scatter values, find the eigenvalues and eigenvector
where the signal eigenvector
matrix [E.sub.s] = [[e.sub.0], ..., [e.sub.M-1]] contains M eigenvectors
that span the signal subspace of the correlation matrix, the noise eigenvector
matrix [E.sub.N] = [[e.sub.M], ..., [g.sub.N-1]] indicates N-M eigenvectors
spanning the noise subspace of the correlation matrix, and [[lambda].sub.n] denotes the n-th eigenvalues of [R.sub.s].
If [X.sup.T] a = y, and a is the eigenvector
of eigen-problem in Equation (5) with the same eigenvalue [lambda] .
 extracted the eigenvector
of RGB color moment and the Munsell color moment from the images.
What is needed to be noticed is that the constrained normalized cuts problem  makes SCACS algorithm solve the generalized eigenvector