Singular Value Decomposition is a mathematical technique used in linear algebra to factorize a matrix into three specific components, revealing important properties of the matrix. It expresses any real or complex matrix as the product of three matrices, including its singular values, which provide insights into the structure and rank of the original matrix. This decomposition is crucial in applications such as dimensionality reduction, data compression, and solving linear systems.
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