Sentence examples for the methodology in terms of from inspiring English sources

Stability analysis is built into the methodology in terms of either analytical conditions or "stability maps" defined herein.

Following our optimisation studies, we investigated the scope of the methodology in terms of the boron coupling partner (Table 1).

We analyzed the methodology in terms of significance of the cell culture broth source i.e., the impact of scale on cell sensitivity to shear, as well as the CCTM generation technique and the consistency of the final material.

These authors explain the limitation of this methodology in terms of disregarding explicit solvent [ 10].

Spectroscopic characterizations (PM-IRRAS, XPS) and electrochemical studies (CV, LSV, cathodic desorption, SECM) highlight and confirm the benefits brought by this methodology in terms of resulting SAMs features and considerable savings of preparation time.

The results demonstrate the superiority of the second methodology in terms of accuracy of the predicted outputs.

In order to assess the performance of the proposed methodology in terms of numerical accuracy and convergence rate, the relative boundary error has been evaluated as follows: e N = ∥ U N ( a, ϑ ) − F − ∥ ∥ F − ∥ + ∥ U N ( b, ϑ ) − F + ∥ ∥ F + ∥, (28).

In order to assess the performance of the proposed methodology in terms of numerical accuracy and convergence rate, the relative boundary error has been evaluated as follows: e N = ∥ λ − U N ( a, ϑ ) + γ − ∂ U N ∂ ν ( a, ϑ ) − F − ∥ ∥ F − ∥ + ∥ λ + U N ( b, ϑ ) + γ + ∂ U N ∂ ν ( b, ϑ ) − F + ∥ ∥ F + ∥, (31).

Similarly, constructive outcomes were reflected from the simulation of the proposed methodology in terms of reduced routing overhead, end-to-end delay, and energy consumption.

Numerical examples are discussed apt to test the performance of the proposed methodology in terms of result accuracy and computing effort in view of industrial applications.

Comparing the results with those of a complete analytical model and a heuristic fuzzy modeling technique illustrates the strength of the proposed methodology in terms of capturing effects that are difficult to model.