Parents (Total: 152)

The searched file hash is included in 152 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	7E6877CD710DED8A42D245E815E18309
PackageArch	x86_64
PackageDescription	The COLAMD column approximate minimum degree ordering algorithm computes a permutation vector P such that the LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser than that of A'*A. SYMAMD is a symmetric minimum degree ordering method based on COLAMD, available as a MATLAB-callable function. It constructs a matrix M such that M'*M has the same pattern as A, and then uses COLAMD to compute a column ordering of M. Colamd and symamd tend to be faster and generate better orderings than their MATLAB counterparts, colmmd and symmmd. COLAMD is part of the SuiteSparse sparse matrix suite.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libcolamd2
PackageRelease	lp152.5.10
PackageVersion	2.9.6
SHA-1	0437EF0F1194F525779DFC80971DE0E4B5CA4F07
SHA-256	AC679E1EA2E1DE30D1598C1BCFCC9913330D1E8888BFD16ADC222040BE57C487

Key	Value
MD5	A06B901C3AF9A7B9573BC0FA4F13FF4D
PackageArch	i586
PackageDescription	This packages provides R-Matrix, one of the recommended packages.
PackageName	R-Matrix
PackageRelease	160.46
PackageVersion	1.3.4
SHA-1	081288AFD62C550D858B250F4895E7B9930FC079
SHA-256	DC8BC89A620D131C179ED3BE28DA265B14D49ED7C805DBAEF93806E139B3B35B

Key	Value
MD5	0B5472F718014AC4C5B8150047287B40
PackageArch	s390x
PackageDescription	A language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.
PackageMaintainer	Fedora Project
PackageName	R-core
PackageRelease	1.el8
PackageVersion	4.1.1
SHA-1	08E03E073B8E8B10B9E85123DE9D76B5F9C29A78
SHA-256	253FBBD3E1B70A54CA8956A9E89200B6AAAF2A1900B790294978B3733465CC18

Key	Value
MD5	73C19146F2C7FC12937AEE531FC0219B
PackageArch	x86_64
PackageDescription	suitesparse is a collection of libraries for computations involving sparse matrices. The suitesparse-devel package contains files needed for developing applications which use the suitesparse libraries.
PackageName	suitesparse-devel
PackageRelease	lp150.59.1
PackageVersion	5.6.0
SHA-1	0C2EA1399A89DC2C8AB384F02CB3E1341CA1341D
SHA-256	4EB1F2F097E3C2F1E0DF480CC64DA54C68F8F1C60F338252DCC27FB6B191865D

Key	Value
FileSize	3622804
MD5	CF62D9DF8677777F0BCA5A64B4EC2870
PackageDescription	GNU R package of classes for dense and sparse matrices This CRAN package provides S4 classes and methods for numerical linear algebra using dense or sparse matrices. The sparse matrix implementation uses code from the LDL sparse matrix package and code from the Metis package of partitioning algorithms.
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-matrix
PackageSection	gnu-r
PackageVersion	1.3-4-2
SHA-1	0E240917A0FDBA58E4A42C04441D3F10C715C9D9
SHA-256	59C99303B11288186765FC0A9E78851A2E8057373DD538C5E61A29ED3002199E

Key	Value
MD5	929C899A1884F233F6CA878523729123
PackageArch	x86_64
PackageDescription	This packages provides R-Matrix, one of the recommended packages.
PackageName	R-Matrix
PackageRelease	45.1
PackageVersion	1.3.4
SHA-1	103A5E857E753287E5609231CA04D4FEAD6AD459
SHA-256	C1D49AE365420A7C8590C60FEA54734A349F3DA1C4BC44886D86005D3267A202

Key	Value
MD5	3CA9F8B52C81449C328759F6C890F6B7
PackageArch	armv7hl
PackageDescription	`GNU S' - A language and environment for statistical computing and graphics. R is similar to the S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.
PackageMaintainer	joequant <joequant>
PackageName	R-base
PackageRelease	3.mga9
PackageVersion	4.1.3
SHA-1	11C37D237DE880893A491B1743C39B4F26AD0060
SHA-256	7C4816B762595A25E43B183D45A6D760A35EF109039FC7063664902CD248185A

Key	Value
FileSize	3649004
MD5	8235D26193A63A1D72FEEB3CA61BFA14
PackageDescription	GNU R package of classes for dense and sparse matrices This CRAN package provides S4 classes and methods for numerical linear algebra using dense or sparse matrices. The sparse matrix implementation uses code from the LDL sparse matrix package and code from the Metis package of partitioning algorithms.
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-matrix
PackageSection	gnu-r
PackageVersion	1.3-4-2
SHA-1	1203B929BB186FEB68571B39776580892AE27A21
SHA-256	B7F928EA8F7BEBC439BA87130C52D0F919E67C1D9130B04B62168F3DF70FD9E6

Key	Value
FileName	http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//suitesparse-doc-5.10.1-r1.apk
MD5	FFFE426AB66B96708625E43FBF1FAF6B
SHA-1	13000B39F5D66773AA4C8946A17C962DC0F6CCB4
SHA-256	1F9D8C45D490F5E61190C78A60592B80160E39AADAA90B986D5EC481083B35DA
SSDEEP	49152:CpcNn6detK4Y2HaIgnZsyOYZjfXJ0fJVI8ic56zeCQvdqWGoeCG3XCnebgD:GcNSeYP2x+pZrXci8iondLGpSneby
TLSH	T150B53321A5C98A244C09BAF7DA13BF8E9438BE57100BAF76FB2D85D4C35F1B16421E47

Key	Value
MD5	A4B76872AA67768135EA45439414AED8
PackageArch	x86_64
PackageDescription	This packages provides R-Matrix, one of the recommended packages.
PackageName	R-Matrix
PackageRelease	45.54
PackageVersion	1.3.4
SHA-1	14C73137ECF263BDD8E18A7D0A4934EB66EE9475
SHA-256	283805C497200807100A48F8A4F1158B295EF7A71F24B6551A94EAEA59B4DF5D