Result for CEF232B1A01B764B52F77124B54B868095253DDD

Query result

Key Value
FileName./usr/share/licenses/libklu1/License.txt
FileSize961
MD525D3C5BE4C5E7F870A517D6953262F45
SHA-1CEF232B1A01B764B52F77124B54B868095253DDD
SHA-2561A98E7A83FF03D4CB2CC786D6C9E70095EEA1A1F61A170FDD7ED127E139A76A0
SSDEEP24:2Ha0+m1QFPCcrXk37ye1tyPOkHOCTbV+lPnQH3c:Oa0+meFPCqeu+yZH+PnV
TLSHT1321140881D00C77E4890C695318A55EBD32A97E6B1AD20914119A28E910EA7A0BFE4E0
hashlookup:parent-total52
hashlookup:trust100

Network graph view

Parents (Total: 52)

The searched file hash is included in 52 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD52C43326C617C2ACE56455E20EB5F5509
PackageArchx86_64
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease5.fc33
PackageVersion5.4.0
SHA-106D371D6EBB8E577DD4BF23D49DE048B3807B1F7
SHA-256EA3F7D8D0D6264775E29DF28CB2474D0B5F9F1549251740B6462744D15473AC0
Key Value
MD5B2058AD451E72BA702B91FB362D4418E
PackageArchi586
PackageDescriptionKLU is a sparse LU factorization algorithm well-suited for use in circuit simulation. It was highlighted in the May 2007 issue of SIAM News, Sparse Matrix Algorithm Drives SPICE Performance Gains. It is the "fast sparse-matrix solver" mentioned in the article. KLU is part of the SuiteSparse sparse matrix suite.
PackageNamelibklu1
PackageRelease85.70
PackageVersion1.3.9
SHA-10A7E093525A3CCD274F27458BDADDF5F16667ABC
SHA-2564156CDC79D9637BEF683BDEE2D01CB606BFD312108272EB20138E83C5B7AB899
Key Value
MD5DEA6BA35AB03D3DA921C1A6847E72862
PackageArchaarch64
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease5.fc33
PackageVersion5.4.0
SHA-10A8E05A260AF4977FCA7890A0B89A710E8427180
SHA-256A2BC8D58F7E8D56EFCFC3D10F126B5FDAA2E0FB167FE23D96A88F6A896C4B2C0
Key Value
MD514E83CECAADA5D85B02174822FB1CAA1
PackageArchi686
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease6.fc34
PackageVersion5.4.0
SHA-10EED438F5CEE0BD7061DD38ABEF57E7BD3A39438
SHA-2568FEF5182E19843B5989DC01637CC4839678C8B7FF67E7A05F353AA4E21B54689
Key Value
MD5225B8B70C02A21BBC79D3055E9AB0267
PackageArchs390x
PackageDescriptionKLU is a sparse LU factorization algorithm well-suited for use in circuit simulation. It was highlighted in the May 2007 issue of SIAM News, Sparse Matrix Algorithm Drives SPICE Performance Gains. It is the "fast sparse-matrix solver" mentioned in the article. KLU is part of the SuiteSparse sparse matrix suite.
PackageNamelibklu1
PackageRelease45.1
PackageVersion1.3.9
SHA-10F6CD66387B31956DA0F2C4E9D25292AFDD1A466
SHA-256C00FE51F28D728BB8E3DFFD768FC60194834699E494E8654F6759FE8C4A9B217
Key Value
MD523DEBE4EF3CAA8EA4939FD6636EF0308
PackageArchx86_64
PackageDescriptionKLU is a sparse LU factorization algorithm well-suited for use in circuit simulation. It was highlighted in the May 2007 issue of SIAM News, Sparse Matrix Algorithm Drives SPICE Performance Gains. It is the "fast sparse-matrix solver" mentioned in the article. KLU is part of the SuiteSparse sparse matrix suite.
PackageNamelibklu1
PackageRelease84.1
PackageVersion1.3.9
SHA-116CC3E2083DC4E9C1368CE87AA9A51A752C84A63
SHA-25679AC1C88C0D23C0B4A9EEFDC3FAF5C2E8BC4F4172A622B131EB668AE0251FCDA
Key Value
MD5B9F56469CEA5D762B3A9C2424051C04E
PackageArchi686
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease3.fc32
PackageVersion5.4.0
SHA-12625D2027D52772DE416A4F6EB3B0DB5BB0BC6D4
SHA-25607CFE01177ED481017D3BA9534F9F96C62BC3B8D7A33FBC62BE306F1CFEE43FC
Key Value
MD5177DDDC9F4950E657EA7F12D937CF3A2
PackageArchx86_64
PackageDescriptionKLU is a sparse LU factorization algorithm well-suited for use in circuit simulation. It was highlighted in the May 2007 issue of SIAM News, Sparse Matrix Algorithm Drives SPICE Performance Gains. It is the "fast sparse-matrix solver" mentioned in the article. KLU is part of the SuiteSparse sparse matrix suite.
PackageNamelibklu1
PackageReleasebp150.44.1
PackageVersion1.3.9
SHA-13116E329CB0A413E7C023AD1EA66AA97907F2357
SHA-256FEB1CAC1EB2466529F09B432990E2C071285557398506245A4144D4F3F8EFA7C
Key Value
MD5FCEFBE6E63F65EF7C6A971D01FA7782F
PackageArchaarch64
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease6.fc34
PackageVersion5.4.0
SHA-136FDE2B471E3335E4437B71BC9DD7F2BFDBB29D2
SHA-256627C265A77D6BCC6A4319ADAE49DD43690AD3DC97A9D4EC0588287AB91C90E48
Key Value
MD543AC4E77C512456420B8E31648DCC06C
PackageArcharmv7hl
PackageDescriptionsuitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format
PackageMaintainerFedora Project
PackageNamesuitesparse
PackageRelease3.fc32
PackageVersion5.4.0
SHA-1385DD89357C08870D1842E660C673156161A48CC
SHA-25682CD1C06E59F1D2D0DE626E6585F0C7AD7294484EB3F4C15A24852C55F03219E