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It is possible to recover both the low-rank and\nthe sparse components exactly by solving a very convenient\nconvex program called Principal Component Pursuit; among all\nfeasible decompositions, simply minimize a weighted combination\nof the nuclear norm and of the L1 norm. This package implements\nthis decomposition algorithm resulting with Robust PCA\napproach.", "License": "GPL-2 | GPL-3", "Repository": "https://macieksk.r-universe.dev", "Date/Publication": "2021-10-03 12:48:52 UTC", "RemoteUrl": "https://github.com/macieksk/rpca", "RemoteRef": "HEAD", "RemoteSha": "197df1b727818ccd920db04d03e9d2a5446596ec", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 09:02:59 UTC", "User": "root" }, "MD5sum": "d77f64f0af02812fc29bb85bcd21abd2", "_user": "macieksk", "_type": "src", "_file": "rpca_0.3.2.tar.gz", "_fileid": "301f299e851e2291c658e3e072d7acf39d867127db398ae71081e3d7c4b8ec66", "_filesize": 207473, "_sha256": "301f299e851e2291c658e3e072d7acf39d867127db398ae71081e3d7c4b8ec66", "_created": "2026-05-28T09:02:59.000Z", "_published": "2026-05-28T09:06:16.586Z", "_distro": "noble", "_jobs": [ { "job": 78258357082, "time": 113, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "7261924783" }, { "job": 78258357264, "time": 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