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The finite-difference method with square grids is used for the approximate solution in the 'nonsingular' part, and in the blocks the integral representations of the harmonic function are approximated by the exponentially convergent mid-point quadrature rule (see [9]).
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Moreover, at a 10-5 BER the greedy method with squared autocorrelation outperforms the combinatorial method by approximately 2dB. Figure 14 Bit error rate for the ITU vehicular A channel.
Hierarchical agglomerative cluster analysis utilized Ward's method with Squared Euclidean Distances in the proximities matrix [ 45].
Further, the same separation was also obtained using 2 other clustering methods: group average method with Euclidean distances and Ward's method with squared Euclidean distances.
Ward's clustering method, with squared Euclidean distances as the similarity measure, was used to be sensitive to differences in elevation as well as profile shape.
The correlations with 95% confidence intervals for method (M) 1 are shown with an x marker, for method 2 with square markers, for method 3 with circle markers and for method 4 with plus sign markers.
Simple linear regression (Least Squares method with resulting squared multiple R values) was used to test the hypothesis that a significant relation exists between numerical variables.
We presented the results as univariate analyses according to application of one- or two-person intubation method with Chi square statistical analysis for categorical data and Student's T-test for continuous variables (age of endoscopists).
The method is demonstrated with square, hexagonal, cubic and tetrahedral lattices.
The combination of WLEF and multivariate modeling has provided a fairly fast and robust method with root mean square error prediction (RMSEP) values less than 1%.
The generalized finite-difference (GFD) method with weighted least squares (WLS) approximation is used to discretize the two-dimensional viscous incompressible Navier Stokes equations at the mesh-free nodes, while standard finite-difference approximations are applied elsewhere.
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