Sentence examples for points and computing from inspiring English sources

For a given mortality time series, we repeated the process of randomly removing 100 data points and computing the PMSE 100 times.

The resulting nonlinear governing equations are then solved by the Asymptotic Numerical Method (ANM) with a bifurcation indicator, which is more reliable and efficient than the classical iterative methods, e.g., Newton-Raphson method, in terms of detecting critical points and computing bifurcated branches.

This computational scheme explicitly finds the approximated coordinates for the embedded points and computes the Euclidean distance among them, which, for example, is implemented by diffusion maps, ISOMAP and LLE [33], [35], [36].

In this study, these values are seen as the separated points and computed through the weighted sum of variance of the two classes σ ω 2 : σ ω 2 ( t ) = ω 1 ( t ) σ 1 2 ( t ) + ω 2 ( t ) σ 2 2 ( t ) (1).

In this case, we select at least one neighboring point and compute its symmetric point to α ∗.

Therefore, all we have to do is to compute the position of this inflection point and compute an interpolating function for obtaining L ̂ ( N ) Open image in new window.

We fit latent class models with three to six classes at each time point, and computed the Vuong-Lo-Mendell-Rubin (VLMR) [ 28] and bootstrap likelihood ratio tests (BLRT) [ 29] and compared the Bayesian Information Criterion (BIC) [ 30] to decide on the number of classes that best fit the data [ 31].

We manually counted the number of inlier and outlier points in the input point sequences and computed inlier and outlier selection ratios.

Note that the width of Θ is 2 sin−1(1/M 1) and for each point in Θ and computing (widehat {P}(theta)) needs ({M_{1}^{2}} + M_{1}) flops.

The procedure Next_Tier takes a PSSM, applies the Exit-point method and computes an array of PSSMs that corresponds to the next tier local optimal solutions.

We used all blocks to obtain point estimates and computed confidence intervals of parameters and Δ l n L between models, using a simple correction: linkage between blocks, measured by the pairwise correlation coefficient in the number of segregating sites between blocks, dropped below 0.05 at a distance of 404 blocks so we rescaled Δ l n L by a factor of 1/404.