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- W3010492783 abstract "In this paper, we present some single-pass randomized algorithms to compute LU decomposition. These algorithms need only one pass over the original matrix and hence are very suitable for extremely large and high-dimensional matrix stored outside of core memory or generated in a streaming fashion. Rigorous error bounds and complexity of these algorithms are provided. Numerical experiments show that these single-pass algorithms have the similar accuracy and runtime (excluding the cost of matrix transfer) compared with the state-of-the-art randomized algorithms for LU decomposition." @default.
- W3010492783 created "2020-03-13" @default.
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- W3010492783 date "2020-06-01" @default.
- W3010492783 modified "2023-09-30" @default.
- W3010492783 title "Single-pass randomized algorithms for LU decomposition" @default.
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- W3010492783 doi "https://doi.org/10.1016/j.laa.2020.03.001" @default.
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