The same thing would be true for the first function above, f(x) = x²: n² would equal n.This would be a weird mathematics indeed (there are algebras in which this happens for some nonunit ...

However, there may be circumstances where the relationship between the variables is non-linear (i.e., does not take the shape of a straight line), and we can draw other shaped lines through the ...

Physicists have long computed nonlinear response functions in the frequency domain. In this approach, one builds so-called multipoint correlation functions—calculations that combine information at ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The Volterra series expansion of nonlinear distortion function is a powerful and generalized structure that covers a very broad class of practical distortion models. Conceptually it's nothing more ...

We demonstrate the implementation of a variety of non-linear models that are more appropriate for modeling plant growth than are the ... A bestiary of non-linear functions for growth analysis.

Non-linear physics is the study of systems where the output is not directly proportional to the input. Unlike linear systems, which follow simple, predictable relationships, non-linear systems exhibit ...

The entire chip had three layers of neurons performing matrix multiplications and two nonlinear function units in between. Overall, the network implemented on the chip could work with 132 parameters.

Linear and nonlinear Granger causality tests are used to examine the dynamic relation between daily Dow Jones stock returns and percentage changes in New York Stock Exchange trading volume. We find ...