Non-linear least squares is a mathematical optimization technique used to minimize the sum of the squares of non-linear functions in order to fit a model to a set of data points. This method is crucial when the relationship between variables is not linear, requiring more complex approaches to estimate parameters accurately. It plays an essential role in various fields, including statistics, data fitting, and inverse problems, particularly when regularization strategies are needed to handle ill-posed problems.
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