Key | Value |
---|---|
FileName | ./usr/share/doc/packages/suitesparse-5.2.0/AMD_README.txt |
FileSize | 7249 |
MD5 | 20CED7019F5A55639AA1AF1A2DFA1057 |
RDS:package_id | 289330 |
SHA-1 | 121EC53F7135ACCC5018A109191B25A494E831D6 |
SHA-256 | 9B6A7C3857741FD1E2CAE15AD73D94EF8D27292F7AB218AC34FE58E00322F9AD |
SSDEEP | 192:n9QBCWubJvxrVMywuxBbqHEe0ZdpW7anxG8eega:eBCWubJdw9UeO |
TLSH | T1DBE1755E2E0833E20711C6B722F94972F724C237322718A57A4945A93FB9D3533DFA66 |
insert-timestamp | 1678974741.0442898 |
source | RDS.db |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 152 |
hashlookup:trust | 100 |
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 | 8CA2BCC3D9E4C5DBD41DE3AC23D7A6C8 |
PackageArch | x86_64 |
PackageDescription | AMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. Note that this software has nothing to do with AMD the company. AMD is part of the SuiteSparse sparse matrix suite. |
PackageName | libamd2 |
PackageRelease | bp153.44.4 |
PackageVersion | 2.4.6 |
SHA-1 | 01D76E1A352ED52DA146B1B37409FF6CA5B44803 |
SHA-256 | 4D4067C7027DC73A9A5C5D8ECC23EB23918875AAE16AB74C865EB1EC2562A862 |
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 |
---|---|
MD5 | 9EC594D59033B1E7D4AA5C5855D89A03 |
PackageArch | x86_64 |
PackageDescription | AMD is a set of routines for ordering a sparse matrix prior to Cholesky factorization (or for LU factorization with diagonal pivoting). There are versions in both C and Fortran. A MATLAB interface is provided. Note that this software has nothing to do with AMD the company. AMD is part of the SuiteSparse sparse matrix suite. |
PackageName | libamd2 |
PackageRelease | 85.70 |
PackageVersion | 2.4.6 |
SHA-1 | 0E22F2742BE54319D7CEF19DE0B08AD019D89D1A |
SHA-256 | 0053F170BBE8CD00C91544521A9498F5B5F4C1FD79397DE9951C88D189E38C66 |
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 |