A method commonly used to fit non-linear curves to data instead of straight regression lines is polynomial regression. This method uses the same principles as linear regression but models the ...

Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...

Answer by Harun Šiljak, Postdoctoral Research Fellow, on Quora:. Nonlinear systems come in all shapes and sizes. Linear dynamics is a useful abstraction, but if you look long enough at any real ...

Two RIKEN researchers have used a scheme for simplifying data to mimic how the brain of a fruit fly reduces the complexity of information about smells it perceives. This could also help enhance our ...

Traditional approaches to fitting nonlinear mixed models involve Taylor series expansions, expanding around either zero or the empirical best linear unbiased predictions of the random effects. The ...

Linear and nonlinear regression both track a particular response from a set of variables. ... nonlinear models have greater flexibility and capability of depicting the non-constant slope.

Accelerated stability analysis is a strategy used to quickly evaluate alternative formulations, packaging, and processes. Accelerated linear studies are commonly performed and modeled; however, ...

Highly reduced order models with nonlinear contact – extremely efficient computation. Modeled as linear components interconnected with highly reduced-order components. 1-linear reduced model, ...