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

Thanks to these abilities, they can already topple complex linear differential equations exponentially faster than classical machines. Researchers have long hoped they could similarly tame nonlinear ...

The nonlinear Schrödinger equation formally describes slow modulations in time and space of an underlying spatially and temporarily oscillating wave packet. It is the purpose of this paper to prove ...

We introduce templates for exponential-asymptotic expansions that, in contrast to matched asymptotic approaches, enable the simultaneous satisfaction of both boundary values in classes of linear and ...

The human brain likes simple straight lines. As a result, people tend to expect that relationships between variables and outcomes will be linear. Often, this is the case: The amount of data an ...