most citedPass-Efficient Randomized LU Algorithms for Computing Low-Rank Matrix Approximation

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Pass-Efficient Randomized LU Algorithms for Computing Low-Rank Matrix Approximation

Bolong Zhang, Michael Mascagni

Low-rank matrix approximation is extremely useful in the analysis of data that arises in scientific computing, engineering applications, and data science. However, as data sizes gr…