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

By contrast, nonlinear regression analysis or nonlinear least-squares fitting (NLSF) refers to equations that are nonlinear in their parameters.

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 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 ...

Two new nonlinear iterative methods named by the implicit-explicit quasi-Newton (IEQN) method and the derivative free implicit-explicit quasi-Newton (DFIEQN) method are introduced, in which the ...