Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	ABB4E4599445FED1078DE264C316E917
PackageArch	x86_64
PackageDescription	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 ability to analyze big data. The concept of randomness has been demonstrated as an effective strategy to quickly produce approximate answers to familiar problems such as the singular value decomposition (SVD). The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component analysis (rpca), randomized robust principal component analysis (rrpca), randomized interpolative decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot functions are provided.
PackageName	R-rsvd
PackageRelease	lp153.1.2
PackageVersion	1.0.5
SHA-1	D9E2AEEFB1847BDA056DFFF282A3D1ED3C52D462
SHA-256	CDD711ED9330A5BB87487ACF18FBBE14A1925DBD1DB6D8E6CD8A6F64525DF665

Key	Value
MD5	EABDDF3D5E5B1CC65099F6BCF095A9F6
PackageArch	x86_64
PackageDescription	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 ability to analyze big data. The concept of randomness has been demonstrated as an effective strategy to quickly produce approximate answers to familiar problems such as the singular value decomposition (SVD). The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component analysis (rpca), randomized robust principal component analysis (rrpca), randomized interpolative decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot functions are provided.
PackageName	R-rsvd
PackageRelease	lp152.1.4
PackageVersion	1.0.5
SHA-1	DB929544BAE092390488EB323038564382704628
SHA-256	2A850161ED28F9172FDCE543D159AF7A83B5AB220BA39DF98D6D199FA336BE76