Sentence examples for methods we suggest from inspiring English sources

In order to overcome these general drawbacks of the expansion methods, we suggest a higher-order stochastic field function that can be employed in the expansion-based stochastic analysis scheme of the weighted integral method.

By using the projection methods, we suggest and analyze the iterative schemes for finding the approximation solvability of a system of general variational inequalities involving different nonlinear operators in the framework of Hilbert spaces.

In contrast to traditional single target methods, we suggest using a combination of the top compounds to perform cell proliferation experiments.

As similar results were observed using both analytical methods, we suggest that the longitudinal findings were not strongly dependent on the nature of the missing data.

In contrast to these methods, we suggest that the use of ORPs to derive error profiles is easily extendible to a genome of any size without the use of a cloned sample.

Besides the analytical methods for comparison of normalization methods we suggest using additional determinants that may be helpful for the rejection of the most commonly used methods that evidently fail.

While the methods we suggested at the time were self-consciously domain-independent, they did rest on background assumptions about the nature of the services involved and the means by which they were delivered.

We examine objections raised by Robinson (2005) to arguments in Ashton, Lee, and Vernon (2001), with reference to three methods we suggested for comparing the extent to which fluid (Gf) and crystallized (Gc) abilities represent "intelligence".

Extending the application of these methods, we suggested a new MCM, based on the combination of wavelets with ARIMA models.

Finally, to improve the performance of this method, we suggest an iterative decoding method.

Unlike the traditional way to approximate solutions in an explicit single step method, we suggest a methodology that contains the estimated error at each integration step and enables us to control the bound of the local truncation error for a long time simulation.