What Does NNLS Stand For?

NNLS stands for Non Negative Least Squares

NNLS, or Non Negative Least Squares, refers to an optimization algorithm used to solve least squares problems under the constraint that all solution variables must be non-negative. This method is particularly useful in various fields, including statistics, machine learning, and signal processing, where non-negativity is a necessary condition for the solution, such as in image reconstruction and regression analysis. NNLS aims to find the best-fitting solution that minimizes the sum of squared differences between observed and predicted values while adhering to non-negativity constraints.