The weighted linear regression models were used to examine the association between DI-GM and cognitive function. Restricted cubic spline and threshold analysis evaluated the existence of non-linear ...

Splines Splines facilitate modelling non-linear relationships by splitting a continuous independent variable into intervals and fitting piecewise polynomial functions in each interval, which are ...

The paper is concerned with developing a production theory for the case when some inputs have nonlinear prices because the price depends on endogenous quality. This involves extending the notion of a ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

For example, provide students with a table and a graph and ask them to determine whether the function is linear or nonlinear. They can then match the table with the corresponding graph.

For example, you can create a game in which students have to identify whether a function is linear or nonlinear. The students are then rewarded with points or prizes for correct answers, which makes ...

Nonlinear functions are widely involved in modern digital signal processing systems, which are usually calculated by polynomial approximation, CORDIC algorithm, or look-up tables. Due to the quite ...