Result for 4303A7D2593684508D2931E62A049E87A59A1923

Query result

Key Value
FileName./usr/share/doc/packages/libldl2/ChangeLog
FileSize2006
MD5E192A715AFAD4F315E85FF2AC162D9E6
SHA-14303A7D2593684508D2931E62A049E87A59A1923
SHA-256FC725C262E283FC5ADFE6A0D11CD26E0F749A5F556A55ACDF263CAA1CB9B1CEF
SSDEEP48:Vxn0wxoxxwcxnyxoy9+hsCQZDfmom4WRIWbF7ca6xHfC8DStTUK+xLyn:XnxoLwSngP94QZrm4WRIWbF7UHfC8DSR
TLSHT13541DB2F35C9A4E722E102939DE8A055EBAD87BF9351010C3A5ED23C6B7319C239E712
hashlookup:parent-total31
hashlookup:trust100

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Parents (Total: 31)

The searched file hash is included in 31 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B299E28CEB31B011881B573D94BB55BF
PackageArchx86_64
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageNamelibldl2
PackageReleaselp151.84.1
PackageVersion2.2.6
SHA-10FC35A6D18D41563D7AD203DCCF80B69AB8EBE22
SHA-25646A7BE0A6061118578759CEDE533CA1B05A9774FA02EED36FDC7B20C6D23183A
Key Value
MD55F63F238EBC824BA8ED8DAEC21A68161
PackageArchs390x
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://www.suse.com/
PackageNamelibldl-2_2_6
PackageRelease2.42
PackageVersion2.2.6
SHA-116CC7903CB6B19BF5E25720374D2A236998012F2
SHA-256B7580F0C795F27E0D3C6E93B513BDD15EEFDFD054620539E8BA077589B1A7F49
Key Value
MD578C406AD7B1494FDA4E94636842025A2
PackageArchx86_64
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibldl2
PackageReleaselp151.4.1
PackageVersion2.2.6
SHA-1182FD0A259C72B49A09B298E995B493BB694EF3D
SHA-256E865ACA69A7167314A774E735F0728865C53CC0CEE9F8FF5351E767B9472A03F
Key Value
MD52FA3C7D4BA2905F1D1B0870FADEF5EAE
PackageArchx86_64
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageNamelibldl2
PackageReleasebp152.44.3
PackageVersion2.2.6
SHA-130780275F8B06656B4D1BB2FBFC5CCB7414369A2
SHA-256D3179ADA2BE4ACF73C24F17F3075ADA53E836B60291EA9A745F5289CB49B31D1
Key Value
MD52F7291DC5AF7142D6B16595221756F2C
PackageArchs390x
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageNamelibldl2
PackageRelease45.1
PackageVersion2.2.6
SHA-13511BC6B96847225F73847A9E440FDD855FBAC35
SHA-25611AB807B9501DB6973CD363F673F72ABB1FB198A57087D02593C27D3EB023844
Key Value
MD5D45CAA2C7EE4E83DA59B3DABB014EEE4
PackageArchi586
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageNamelibldl2
PackageRelease45.3
PackageVersion2.2.6
SHA-13E98A4C615C800B0EDD25B81D43C98E9A96ECEBC
SHA-256E1B1ABCF1BC50DD5C1DEB706B124B34C439598C2B388C5F3C6457EF3922722D4
Key Value
MD5B73CED2EEBEE177581709F4C7788525B
PackageArchx86_64
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibldl2
PackageRelease43.6
PackageVersion2.2.6
SHA-14B59592878A07F0ED54EFAA265781F6C97395317
SHA-256582C297EB8F859C56DBCF49A01862F54F0E439E18442B23DA116CD6FD5A6B10E
Key Value
MD53DC590E2C7DC7F8A6E3E1F06C4AAE3D0
PackageArchx86_64
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageNamelibldl2
PackageRelease59.1
PackageVersion2.2.6
SHA-14E565C88D99BA68FFFA9209508526AEED41739B3
SHA-2567FD3455389C46B9CB59879CA6E94F526AFE4A4F49D2217550E625D7054C03C47
Key Value
MD55C147B1A72499F6DF76221CC9D1F38DE
PackageArchi586
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageNamelibldl2
PackageRelease85.70
PackageVersion2.2.6
SHA-14EBECDF9E40101456911782306A1DA9FED4B0E7D
SHA-25634A1E29AC15E1548FC1FF321CE95BC35AC72F6053B5457A921DADF4039BD1198
Key Value
MD50436026CB19914BBAB64D6D473041B54
PackageArchi586
PackageDescriptionLDL is a set of concise routines for factorizing symmetric positive- definite sparse matrices, with some applicability to symmetric indefinite matrices. Its primary purpose is to illustrate much of the basic theory of sparse matrix algorithms in as concise a code as possible, including an elegant new method of sparse symmetric factorization that computes the factorization row-by-row but stores it column-by-column. The entire symbolic and numeric factorization consists of a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface. LDL is part of the SuiteSparse sparse matrix suite.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamelibldl2
PackageRelease43.6
PackageVersion2.2.6
SHA-15C83ADE6026FFCDB54AAA294CDD22B0F68E326EA
SHA-256F3AA3907F77595A16B86BC1301695346503CBD8625395EDA8CA1F400D677F476