Sentence examples for range of feasible values from inspiring English sources

To test the widest range of feasible values, we test values of σ from 0.1 to 0.6, as illustrated in Fig. 11.

Sustainable building design, however, is a complicated process involving a large number of design variables, each with a range of feasible values.

In addition, the range of feasible values of b increased resulting in more solutions and a broader envelope of polarized solutions.

For the purpose of demonstrating that the model can be simulated, we divided the model parameters into several classes and estimated a range of feasible values for each class (Table 1).

The 'soft' type of constraints thus arising makes it possible to sample the solution space corresponding to our large-scale network model in a statistically controlled manner, and returns a full range of feasible values for each reaction flux in the network, as well as detailed information on correlations.

Moreover, among the dual means of realizing the primary control of activator transcription, repressor-primary control (mean global tolerances 6.4-fold) is better than activator-primary control (mean global tolerances 5.4-fold) because of the larger range of feasible values for the parameters.

A sensitivity analysis is performed to verify the variability of the probability distribution of leakage within the range of feasible parameter values, then the stochastic model is applied to three field cases where time series of the piezometric levels of the phreatic aquifer are available.

To do so, we scan a range of feasible σ values.

In order to conduct flux-sum attenuation and intensification analyses, we need reference values representing the base case and the range of feasible flux-sum values.

The range of feasible operational conditions comprised initial pH values between 4.2 and 6.8, temperatures between 23 °C and 37 °C, and NaCl concentrations between 3.7 mg/cm3 and 9.0 mg/cm3.

Simulation model reliability over the range of feasible inputs is essential for determining the globally optimal variable values.