Nonlinear Least Squares (NLS) is an optimization technique used to fit nonlinear models by minimizing the sum of squared residuals. This article explores the historical context, types, key events, detailed explanations, mathematical formulas, charts, importance, applicability, examples, and related terms.
An estimator used in the process of minimizing the sum of the squares of the residuals to fit a nonlinear model to observed data, commonly used in nonlinear regression.
