Key | Value |
---|---|
FileName | ./usr/share/doc/libalglib-dev/manual.cpp.html |
FileSize | 2805096 |
MD5 | BCCEE9DE68C63CEAEE182E7E0D35FC3F |
SHA-1 | 970812187C1921E40468A2A9787DFA0D2E5ACD34 |
SHA-256 | 1D9DF82A006221043BAD5E83F5CD4071FB1807199FCEB7A98D674B28B0160262 |
SSDEEP | 12288:KBJk9xydtyrBQX5eybGEuNVVSTCig9UbjpTYHqpiqpGgloTDuILXyPpmUkmCIU5t:KBJpGEuNVVSTCigCZYHqpiqp/RmqEv |
TLSH | T17BD5093197801D265473802EB186A3D4EB2A42D7F34622947C9EF26B1FBDD11867BF8D |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 347496 |
MD5 | 34DD63626FC7FC20625F646C4BF8F769 |
PackageDescription | Development files for the alglib library ALGLIB is a cross-platform numerical analysis and data processing library. This package support C++. ALGLIB features include: . * Linear algebra (direct algorithms, EVD/SVD) * Solvers (linear and nonlinear) * Interpolation * Optimization * Fast Fourier transforms * Numerical integration * Linear and nonlinear least-squares fitting * Ordinary differential equations * Special functions * Statistics (descriptive statistics, hypothesis testing) * Data analysis (classification/regression, including neural networks) . This package contains the development files (headers and documentation) for ALGLIB. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | libalglib-dev |
PackageSection | libdevel |
PackageVersion | 3.16.0-1build1 |
SHA-1 | 04C2E706E7EAD64D4F1806AF8EC6A1A7D37F9017 |
SHA-256 | 58DCA0B912AC3BD3C71D815FC91E328547C56BFF9F5798E91184FAEA023C5198 |
Key | Value |
---|---|
FileName | http://archlinux.mirror.root.lu//pool//community//alglib-3.16.0-1-x86_64.pkg.tar.zst |
MD5 | B3DE4417D70B2FC267A74A67CF21BF6B |
SHA-1 | B24CBC82362D7A239D35F455662CF77CF6FE7BD0 |
SHA-256 | DC5F037B1C672D947976E6454655BE025A0CED585B9C91E7B01C7AC020F525A3 |
SSDEEP | 24576:q8165drtM6irfUY4CMVn1ezI4SOkjLvFjSnAwjyB2090ATobcN3/XHo4:Dg52NnBzI49kjLvFjujGYc0YobWp |
TLSH | T16975337B7F5241D0E888C27604832509A3FD5CA0D3C97AB670023A976FFB6F1959266F |