Sentence examples for stringent convergence from inspiring English sources

A stringent convergence threshold of 5 cm was set to examine the time the solution took to converge.

To investigate the source of these differences, I reran these analyses with increasingly stringent convergence criteria.

As an initial check, we modeled synthetic data using both default and more stringent convergence parameters; the maps were very similar and simple covariates were adequately controlled [Webster et al. submitted].

The required number of iterations, however, was only 1832 to 4928 (Table  7), and thereby decreased by 71to90%0% compared to the more stringent convergence criterion of 10−10.> The objectives of this study were to develop and describe genomic prediction models with a separate step to estimate SNP specific variances with a Bayesian model and a subsequent step to predict GEBV using a BLUP model.

Therefore, one needs to define a more stringent parameter than the convergence of the scoring function in order to decide whether the refinement has found a reasonable model, or if the additional displacements observed are only artifacts.

We have found that the explicit representation of cross-linker not only provides more realistic and stringent restraints, but also allows better convergence for the ensemble structures, as compared to straight-line Euclidean distance restraints.

Searches were initially run with a stringent e-value threshold of 1e-35 until convergence (to obtain confident alignments and more robust profiles) and later the threshold was relaxed to the value corresponding to 0.01 times the score of the first false positive and searches were continued until convergence.

However, the literatures [15, 16] need the mapping F to be monotone, which seems too stringent a requirement for the purpose of ensuring global convergence property and locally superlinear convergence of the hybrid method.

The results of Theorems 4.1 and 4.2 with further considerations by using Definitions 4.4 and 4.5 allow to obtain the convergence to a unique fixed point under more stringent conditions for the semigroup of self-mappings, as follows.

To integrate genotype, expression and drug cytotoxicity data, we used an approach similar to "genomic convergence" [61] [63], as depicted graphically in Figure 2. We used a less stringent cut off for p-values used to identify the initial set of SNPs that were associated with IC50 to avoid missing possible candidates with biological significance.

However, due to the complexity of the optimization problem or the stringent limitations on the system's dynamics, the experimental information can be limited and parameter estimation convergence problems can arise.