Interpolative decomposition is a mathematical technique used primarily in numerical linear algebra and data analysis. It refers to a method for approximating a matrix or a function through a structured representation that allows for efficient storage and computation. The basic idea is to express a given matrix \( A \) in terms of a combination of its columns, specifically using a set of basis columns (also known as an interpolation or anchor set).
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