Randomized Singular Value Decomposition. Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension reduction, and data compression. Classically, highly accurate deterministic matrix algorithms are used for this task. However, the emergence of large-scale data has severely challenged our computational
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curl https://depscope.dev/api/check/cran/rsvdFirst published · 2021-04-16 06:56:35
Last updated · 2021-04-16T04:40:03+00:00