Gauss-Newton Algorithm

The Gauss-Newton Algorithm is a method used to find the best fit for a set of data points, especially in nonlinear problems. Imagine adjusting a curve to match data points as closely as possible; this algorithm iteratively refines the curve by approximating the problem as a simpler, linear one each time. It calculates the adjustments needed based on the current difference between the data and the curve, improving the fit step by step until it reaches the best approximation. It’s widely used in tasks like curve fitting and parameter estimation where direct solutions are complex.