Exact(9)
Various selection indexes with or without restrictions were constructed using the eigenvectors of the genetic covariance matrix.
We design the time frequency localized bandlimited low pass scaling and band pass wavelet functions using the eigenvectors of the formulated positive definite matrix.
In particular, using the eigenvectors of the mutation matrix as the new basis, we show that the quasispecies distribution approaches a binomial one and give simple estimates for the speed of convergence.
Using the eigenvectors of the composition operators and of the adjoints of the Toeplitz operators, a direct unitary equivalence is found between the restrictions to zH2 of the group of Toeplitz operators and the group of adjoints of these composition operators.
Excluding the dimensions associated with the smaller eigenvalues (noise), the SSA reconstructs the missing samples using the eigenvectors of the SVD as a basis.
Using the eigenvectors of the crystal field levels originating from 4f and 5d configurations, the absorption intensity peaks are reasonably well simulated, and the calculated decay time of the 5d → 2F5/2 emissions will be compared with experimental value.
Similar(50)
A novel backstepping transformation form is proposed in this work and the feedback gain for the lumped-parameter component is constructed using the eigenvector of coefficient matrix in the ODE system.
In this study, I introduce a technique for estimating the fault dip using the eigenvector of the observed or calculated gravity gradient tensor on a profile and investigating its properties through numerical simulations.
Consequently, our algorithm starts by the lowest possible number of partitions; and next it uses the eigenvectors of the graph to find the best schedule of nodes that minimizes the latency of the graph.
Principal component analysis (PCA) uses the eigenvectors of the covariance matrix (pairwise comparison of all images) as principal components (for explanation, see ref (139)).
Moreover, instead of using the eigenvectors (a full matrix) to rotate the SNPs, the Cholesky factor (a triangular matrix) allows us to transform them at half the cost.
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