Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

If you pull twice as hard on a spring, it stretches twice as far. However, when we introduce very large forces or complicated ...

Much scientific research across a range of disciplines tries to find linear approximations of nonlinear behaviors. But what does that mean?

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

For this, you also need non-linear thresholding functions that adjust the weights between the layers of neurons.

While I do spend lots of time pushing the idea of linear approximations on my students, we do need nonlinear functions to describe most interesting physical phenomena.

In a review just published in Nature Materials, researchers take aim at the oldest principle in electronics: Ohm's law.

Lookup tables and Taylor series are two common methods for interpolating between experimentally gathered data or for generating a known function such as a sine wave. This article proposes a third ...