Difference-map algorithm

The Difference-map algorithm is a mathematical optimization technique primarily used in the field of signal processing, imaging, and machine learning for solving inverse problems, particularly those involving sparse representations and regularization. It is part of a broader category of algorithms known as iterative thresholding methods, which are designed to recover sparse signals or images from noisy or incomplete measurements.