Sentence examples for reasonable settings from inspiring English sources

Thus, reasonable settings of production and injection rates imported into the simulator can be determined and the voidage replacement ratio is set to 1.11.

Our solutions are able to release summaries of the data with error comparable or even better than current releases (which are not provably private), for reasonable settings of privacy parameters.

The outbreak detection method introduced here is robust to other reasonable settings for these hyperparameters.

However, satisfaction based control consumed 15.3%andd 11.9% less energy at two test-beds respectively than set-point based control due to more reasonable temperature settings given by the satisfaction based control.

The package provides a list of options for classifier gene set, cross-platform normalization method and data set to train the model along with reasonable default settings.

The research indicates that this ventilation system could be used for room ventilation and air-conditioning engineering more efficiently under the reasonable parameter settings of supply air velocity and temperature.

Each step is well-documented and provides reasonable default settings to support the novice user.

If economic models generally predict that an observed regularity is persistent across time and across countries (under reasonable parameter settings), we state that this regularity is an economic law.1.

The aim of this section is to illustrate the analytically found effects for reasonable parameter settings and distribution assumptions using German tax facts and gross return data from German firms as an example.

With SIS, required statistical parameters of the facies are easy to infer from limited data, the model is reasonable in settings, and the algorithm is robust providing straightforward way for transferring uncertainty in categories through resulting numerical models (Pyrcz and Deutsch 2014; Deutsch 1998).

Using SIS, we were able to infer required statistical parameters of the facies from limited data, the model was reasonable in settings, the algorithm was robust providing straightforward way for transferring uncertainty in categories through resulting numerical models (Pyrcz and Deutsch 2014; Deutsch 1998).