Parents (Total: 140)

The searched file hash is included in 140 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	91956BF3EECE6A35C587E3CFEA8B04D6
PackageArch	i586
PackageDescription	levmar is a native ANSI C implementation of the Levenberg-Marquardt optimization algorithm. Both unconstrained and constrained (under linear equations, inequality and box constraints) Levenberg-Marquardt variants are included. The LM algorithm is an iterative technique that finds a local minimum of a function that is expressed as the sum of squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems and can be thought of as a combination of steepest descent and the Gauss-Newton method. When the current solution is far from the correct on, the algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current solution is close to the correct solution, it becomes a Gauss-Newton method.
PackageMaintainer	umeabot <umeabot>
PackageName	liblevmar2
PackageRelease	3.mga8
PackageVersion	2.6
SHA-1	010905BB070C2FD141F9A8A81DEE5E2CA1832946
SHA-256	2499251F157218E033EB685EFF3723E768938C2C248869FE4A8CA395A139E3E4

Key	Value
MD5	E940A63C7329BD0565578AF6DE5DDAAC
PackageArch	aarch64
PackageDescription	levmar is a native ANSI C implementation of the Levenberg-Marquardt optimization algorithm. Both unconstrained and constrained (under linear equations, inequality and box constraints) Levenberg-Marquardt variants are included. The LM algorithm is an iterative technique that finds a local minimum of a function that is expressed as the sum of squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems and can be thought of as a combination of steepest descent and the Gauss-Newton method. When the current solution is far from the correct on, the algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current solution is close to the correct solution, it becomes a Gauss-Newton method.
PackageMaintainer	umeabot <umeabot>
PackageName	lib64levmar2
PackageRelease	2.mga7
PackageVersion	2.6
SHA-1	086AC87C37AD753A705CDE221A87AF21C31C78DE
SHA-256	785A451B9681AE2A46FF9DBDD1D9E5D492CA6403C18432589684A1D63C6B3491

Key	Value
MD5	6CCE01D98B0D936431A1AA42A0865D06
PackageArch	armv5tel
PackageDescription	levmar is a native ANSI C implementation of the Levenberg-Marquardt optimization algorithm. Both unconstrained and constrained (under linear equations, inequality and box constraints) Levenberg-Marquardt variants are included. The LM algorithm is an iterative technique that finds a local minimum of a function that is expressed as the sum of squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems and can be thought of as a combination of steepest descent and the Gauss-Newton method. When the current solution is far from the correct on, the algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current solution is close to the correct solution, it becomes a Gauss-Newton method.
PackageMaintainer	Fedora Project
PackageName	levmar
PackageRelease	4.fc13
PackageVersion	2.5
SHA-1	0A44124FA01A5609C01F3AC009003C84489F69BC
SHA-256	990D3FD54BEEC055A25ECD08D584BC12D1B0FE4737A37D1C1A591345D3763A63

Key	Value
MD5	756DCAF2C978C7A5EE6D3C7598C55012
PackageArch	ppc64
PackageDescription	levmar is a native ANSI C implementation of the Levenberg-Marquardt optimization algorithm. Both unconstrained and constrained (under linear equations, inequality and box constraints) Levenberg-Marquardt variants are included. The LM algorithm is an iterative technique that finds a local minimum of a function that is expressed as the sum of squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems and can be thought of as a combination of steepest descent and the Gauss-Newton method. When the current solution is far from the correct on, the algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current solution is close to the correct solution, it becomes a Gauss-Newton method.
PackageMaintainer	Fedora Project
PackageName	levmar
PackageRelease	8.fc19
PackageVersion	2.5
SHA-1	0C7F47A1024F457B31C09C3D8326B755D3D51490
SHA-256	723C3F11356EB119F0E7AD21D49ED76778F8E94E3FEEF84755653EEF58927460

Key	Value
MD5	EC4F7C8013E18A93625777B7594A5052
PackageArch	ppc64
PackageDescription	levmar is a native ANSI C implementation of the Levenberg-Marquardt optimization algorithm. Both unconstrained and constrained (under linear equations, inequality and box constraints) Levenberg-Marquardt variants are included. The LM algorithm is an iterative technique that finds a local minimum of a function that is expressed as the sum of squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems and can be thought of as a combination of steepest descent and the Gauss-Newton method. When the current solution is far from the correct on, the algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current solution is close to the correct solution, it becomes a Gauss-Newton method.
PackageMaintainer	Koji
PackageName	levmar
PackageRelease	7.fc18
PackageVersion	2.5
SHA-1	11272D8A6F4E09BE98077D128BF43C507B1D8BE9
SHA-256	28C21E430ED024143C601A0A09AD09FF2065B0F6340FFD3A2A360808E3BA1C4B

Key	Value
MD5	199CCF9038AB522C3A7F7D77763932AE
PackageArch	ppc64
PackageDescription	levmar is a native ANSI C implementation of the Levenberg-Marquardt optimization algorithm. Both unconstrained and constrained (under linear equations, inequality and box constraints) Levenberg-Marquardt variants are included. The LM algorithm is an iterative technique that finds a local minimum of a function that is expressed as the sum of squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems and can be thought of as a combination of steepest descent and the Gauss-Newton method. When the current solution is far from the correct on, the algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current solution is close to the correct solution, it becomes a Gauss-Newton method.
PackageMaintainer	Fedora Project
PackageName	levmar
PackageRelease	6.el6
PackageVersion	2.5
SHA-1	117C2A887E82CC1D73AAE2AC51DA7058D2355F2E
SHA-256	8F6BB7F0D2BE51183C80F241816265A6570C8547F00581E8F58CD188DA21E801

Key	Value
MD5	D1F897F55B440C3DD1DCE7029ACCD9AB
PackageArch	ppc64
PackageDescription	Development files for the levmar library, and demo program.
PackageMaintainer	Koji
PackageName	levmar-devel
PackageRelease	5.fc15
PackageVersion	2.5
SHA-1	138923725C7B00CFF070A142917D728A24933781
SHA-256	9439DE3E7B273BF4D8DDF6C142C03ABDD767BC46EECCA73F8081B9E062DE2ECD

Key	Value
MD5	4D99717FE273740D10651689BB3B63CD
PackageArch	ppc64le
PackageDescription	levmar is a native ANSI C implementation of the Levenberg-Marquardt optimization algorithm. Both unconstrained and constrained (under linear equations, inequality and box constraints) Levenberg-Marquardt variants are included. The LM algorithm is an iterative technique that finds a local minimum of a function that is expressed as the sum of squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems and can be thought of as a combination of steepest descent and the Gauss-Newton method. When the current solution is far from the correct on, the algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current solution is close to the correct solution, it becomes a Gauss-Newton method.
PackageMaintainer	Fedora Project
PackageName	levmar
PackageRelease	12.fc23
PackageVersion	2.5
SHA-1	151B843F98A44D5FFEDFEA9BEEFFE0FD277C685D
SHA-256	AC8A47E46BE8E23D75B14C19E76A9D46F83BB65DE0C36D9F7CF40D9C5E47B1FB

Key	Value
MD5	FAA1F514464C57F5153FF80A0E81C079
PackageArch	ppc64
PackageDescription	Development files for the levmar library, and demo program.
PackageMaintainer	Koji
PackageName	levmar-devel
PackageRelease	7.fc18
PackageVersion	2.5
SHA-1	18E5808BC696D6D6DCE45D2F708F98FB5F121B28
SHA-256	BD53E8147F5F30C093281593C28EC159091E98A9EB0DA5C5C5021CDDD75FBC3E

Key	Value
MD5	0D97DC53ACC8D291EDD9FEE15AD29F9D
PackageArch	s390x
PackageDescription	Development files for the levmar library, and demo program.
PackageMaintainer	Fedora Project
PackageName	levmar-devel
PackageRelease	7.fc18
PackageVersion	2.5
SHA-1	197E9457E81A4C22234499A4EA5C049B4D4BAE46
SHA-256	27D4108CE2C9392D2F0248AE96AF4C51352EBE32426D215A9386D11915BA6164