Sentence examples for diverging behaviors from inspiring English sources

These converging and diverging behaviors cause that the curved mirrors show different image types depending on the distance between the object and the mirror.

Therefore, when the triple contact line is pinned and the meniscus becomes very thin, the additional viscous dissipation increases significantly and may even leads to diverging behaviors [9, 20, 21].

The diverging behavior of (ZT 0 with respect to tc is further illustrated in Figure2d.

Due to the law of reflection, the converging and diverging behavior of concave and convex mirrors causes that curved mirrors show different image types.

The safety factors in non-congested flow and congested flow are different; diverging behavior is more risky in non-congested flow, more lanes tend to increase the risk of crashes in congested flow, and horizontal curves tend to decrease the crash risk in congested flow but cause high risk in non-congested flow.

For low values of p, the community with uniform abundance has a diverging behavior, with much greater distances between assemblies, suggesting that distances over 120 000 could indicate that the community has indeed a uniform abundance distribution.

It is important to note that the parameters a and b change with the amplitude of the applied force, indicating a force-dependent nonlinearity of the creep modulus, such that a decreases with increasing force, whereas b shows diverging behavior.

Among the computed solutions, marginally stable and slowly diverging rotational behaviors exist and may offer interesting mission applications.

They apply the Louvain method for community detection, and show that the communities within some cities (e.g. Abidjan, Bouake, and San Pedro) are diverse, i.e. people within the same community have diverging purchasing behavior with some people making small purchases while others making larger ones.

The small refinement in the model may very well lead to the model behavior diverging away from the system's behavior.

The small refinement in data quality may very well lead to the model behavior diverging away from the system's behavior.[6] In the second approach, keeping the data fixed but making successive refinements in nonlinear models is also not guaranteed to lead to any convergence between model behavior and target system behavior.