 Generalized Gauss–Newton method

The Generalized Gauss–Newton (GGN) method is an extension of the standard Gauss–Newton algorithm used for solving nonlinear least squares problems. The Gauss–Newton method is a nonlinear optimization technique that provides a way to find the minimum of a sum of squares of nonlinear functions. It is particularly useful when dealing with problems where the objective function can be expressed as a sum of squared residuals.