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

Almost perfect nonlinear (APN) functions play a pivotal role in cryptography, particularly in securing symmetric key algorithms against differential attacks. Their algebraic properties, including ...

Two teams found different ways for quantum computers to process nonlinear systems by first disguising them as linear ones.

Robert B. Schnabel, Paul D. Frank, Tensor Methods for Nonlinear Equations, SIAM Journal on Numerical Analysis, Vol. 21, No. 5 (Oct., 1984), pp. 815-843 ...

We consider a nonlinear function-on-function additive regression model with multiple functional predictors. The forms of the nonlinear functions are unspecified, and offer great flexibility to model ...

The standard Kalman filter I've just summarized doesn't directly apply to nonlinear systems. However, if we linearize a nonlinear system we can use linear-estimation methods to estimate the states. In ...