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Matrix decomposition is a mathematical technique used to break down a matrix into simpler, constituent matrices that can be more easily analyzed or manipulated. This can be particularly useful in various applications such as solving linear systems, performing data analysis, image processing, and machine learning. Different types of matrix decompositions serve different purposes and have specific properties.