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Sentence examples for nonlinear from inspiring English sources

Dictionary

nonlinear

adjective

Not lying on a straight line

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The word 'nonlinear' is correct and usable in written English.
You can use it to describe something that does not follow a linear or straightforward path. For example: "Mapping the relationship between language and power is a nonlinear process".

Exact(60)

"It's nonlinear," agrees Viggo.

There is also an important nonlinear relationship between core services inflation and the unemployment gap, indicating that the impact of changes in labor market slack on core services inflation depends on the level of slack itself.

This works well enough for smaller animals, but it predicts that an elephant should weigh one and a half times as much as it actually does, and that deviation is likely to be much larger for a Brachiosaurus, Apatosaurus or Diplodocus.Dr Packard's model gets round this by abandoning simple logarithmic transformation in favour of a more complicated, so-called nonlinear model.

That is because a loose, fun, nonlinear atmosphere is important to the creative process".

These are examples of a nonlinear response.

However, both of these basic approaches to confirming models encounter serious difficulties when applied to nonlinear models, where the principle of linear superposition no longer holds.

Chaos only exists in nonlinear systems (at least for classical macroscopic systems; see sec. 6 for subtitles regarding quantum chaos).

Suppose administrators are using a nonlinear model in the formulation of economic policies designed to keep GDP ever increasing while minimizing unemployment (among achieving other socio-economic goals).

In the first approach, successive small refinements in the initial data used by nonlinear models is not guaranteed to lead to any convergence between model behavior and target system behavior.

So whereas for linear models piecemeal strategies might be expected to lead to better confirmed models (presuming the target system exhibits only stable linear behavior), no such expectation is justified for nonlinear models deployed in the characterization of nonlinear target systems.

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Chaos explanation, by contrast, pursues understanding by using reduced equations derived through various techniques, though still based on the full nonlinear equations.

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