Matrix sketching is a technique used to create a smaller, approximate representation of a larger matrix, which retains the essential information and structure of the original matrix while significantly reducing its size. This approach is particularly useful in randomized numerical linear algebra, as it allows for faster computations and reduced memory usage when dealing with large-scale datasets or high-dimensional spaces.
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