It is well-known that the accuracy of the coupled cluster methods depends strongly on the basis set used, and one of the goals of the present investigation is to use explicitly correlated (F12) coupled cluster methods to establish theoretical best-estimates for molecular geometries and interaction energies for the halogen bonding in H3N⋅⋅⋅XY complexes.
There have been a multitude of methods proposed see for example the benchmarks performed by Hach et al. (2010)—and the results and optimal choice of method depend strongly on the read length and the maximal edit distance allowed.
The utility of a method depends strongly on the choice of spectral basis.
Nevertheless, the efficiency of this projection method depends strongly on the choice of the step-size parameter.
The validity of this method depends strongly on the assumption that the first-stage sample and the reduced-form sample are randomly drawn from the same population (similar to the assumption for subsample IVs, where the first-stage sample is a random sample of the reduced-form sample).
Results of such methods may depend strongly on the accuracy of the null model: hierarchical population structure, for example, can lead to a large number of false positives (Excoffier et al. 2009).
The nonlinear elastic impedance inversion method based on a fast Markov chain Monte Carlo (MCMC) method is proposed in this paper, combining conventional MCMC method based on global optimization with a preconditioned conjugate gradient (PCG) algorithm based on local optimization, so this method does not depend strongly on the initial model.
In this work, we will present and evaluate a monocular visual odometry method that does not depend strongly on accurate camera calibration and does not suffer from degeneracy in case of small incremental motion or planar scene geometry.
Laminar burning velocity obtained by the latter method were found to depend strongly on the modeled relation between the burned mass fraction x to the pressure P. Thus, we compare several x P relations and show that the popular linear x P relation overestimates the burning velocity by up to 20%.
Cutoffs suggested by these studies vary widely from 5.2%7.8%%, and thresholds depend strongly on statistical methods, on definition of retinopathy, and the distribution of HbA1c in the study group.
