Sentence examples for more challenging parameters from inspiring English sources

Improved numerical techniques which will allow running simulations with more challenging parameters, in particular lower Ekman and magnetic Prandtl numbers, are therefore of great interest for studies of mantle control on planetary dynamos.

A possible reason for the paucity of analyses for which indel parameters are inferred is that indel dynamics parameters are substantially more challenging to estimate compared with substitution parameters (Cartwright 2005; Fletcher and Yang 2009).

The selection and identification of a suitable hydrological model structure is a more challenging task than fitting parameters of a fixed model structure to reproduce a measured hydrograph.

It must be noted that recent works deal with the more challenging case of continuous parameter space (see e.g., [23, 25]).

However, using traditional approach to calibrate these parameters becomes more challenging with the increasing incorporation of new technologies into advanced engines.

We now turn our attention to the more challenging scenario where the ARMA parameters are unknown.

Based on the results of the CRISP program in its default setting for image #4 in Table 3, we must conclude that it was actually the noise-free image of the corresponding set that proved to be more challenging to the tested lattice parameter extraction algorithms in their default settings.

However, the more complex a scenario becomes, the more challenging it is to define admissible parameters, e.g. positive definite variance-covariance matrices.

We conjecture that ODE models with mean-field approximations of cell-cell interactions will still be useful for providing insight into the parameters of these more challenging simulations and their calibration, and plan to investigate such approximations.

Whilst [Denaturant]50% is generally the most robustly determined parameter, it is more challenging to accurately determine mD N (especially for large proteins where transition regions are narrow, Fig. S1b) [25].

The implementation of the numerical machinery for parameter estimation also becomes more challenging and requires advanced numerical techniques such as the EKF.