Matrix decomposition, also known as matrix factorization, is a mathematical technique that involves breaking down a matrix into a product of several matrices. This process helps to simplify complex matrix computations, reveal underlying properties, and facilitate various applications in fields such as linear algebra, computer science, statistics, machine learning, and engineering.
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