While linear functions are easy enough to define, the term “nonlinear” takes in everything else. “There’s this famous quote — I’m not sure who said it first — that the theory of ...

Nonlinear regression is a form of regression analysis in which data is fit to a model and then expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a ...

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.

Quantum information researchers have tried to use linear equations as a key to unlock nonlinear differential ones for over a decade. One breakthrough came in 2010, when Dominic Berry , now at ...

Such functions are called linear, for reasons that I'll explain soon enough (well, ... we do need nonlinear functions to describe most interesting physical phenomena.

Mathematical functions can mirror real emotions and activities, ... Charting the Non-Linear Events in Life. Mathematical functions can mirror real emotions and activities, ...

Using nonlinear Kalman filtering to estimate signals. It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better ...