Result for 8AD25406D96BD52AB125DE208D8521F57C0F9834

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Children (88)

Query result

Key Value
FileSize1500908
MD599ABDC424B667D20F9C497BF1C647F9B
PackageDescriptionPython package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-cvxopt
PackageSectionpython
PackageVersion1.1.3-2fakesync1
SHA-18AD25406D96BD52AB125DE208D8521F57C0F9834
SHA-2560E09BC10C247E7A75F309F95AA89E3E5D37005A72C3B09D2C526BAACEC7C35F4
hashlookup:children-total88
hashlookup:trust50

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Children (Total: 88)

The searched file hash includes 88 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/python-cvxopt/examples/filterdemo/README
FileSize445
MD51836C6FE26415939D5A6F32D3E1A1E34
SHA-1020D546E5EF64BE6333D2E45BE1B1DFC32F83C35
SHA-256E0BD74AB3AB9E69F55A77A6DEDC7BDE44750C3D250DAFABB2FC61E121AF03095
SSDEEP12:eZsDkMJ4/REY7AIKI08goCShQRv26NepL5XFHncqCcoCPPpG:oKkMJ/Y72I0KCQ0v26UpLZFHncjCZG
TLSHT123F02300C40D7DF4E342201BFD321470D8B5C90C23EA30195CFC56E55943DB0D4D1A90
Key Value
FileName./usr/share/pyshared/cvxopt/msk.py
FileSize30303
MD5BE75B79CF584BCE72E192EBA9F18795C
SHA-10973A4BF52618DFC6A43690840B0A405B77DFE6A
SHA-256A79578F461864CEDF023EEB5E62E086A6FF384DBC9F33772396BEC757B9A5A95
SSDEEP384:K7R5stI/7kyl/sdF48C/eQsweUAq/MlXiI/l0kwCkHI/yr:Uvstkgyl/sdF48ODsweiaXik6kXkHkW
TLSHT11CD2830558400D3AA2A3817D8CD7CC097F6195633D8B2D7A386C91B86F1B737D7B87AA
Key Value
FileName./usr/share/doc/python-cvxopt/examples/book/chap6/regsel.py
FileSize3149
MD5437919296D51AC8F69D12500C0807F42
SHA-1097BB7690701B72F1ABB505DCC1016A792BE9EC9
SHA-25624429B539050989ACBB789680C3E5E10574C938435FDFAB373A23F7C0BA58B01
SSDEEP96:S3HRpoF7BL4lCI1wz9WAdB+73DXLv18byir:G7lCvRK3Db98bye
TLSHT142516544F4423C76865BD1A9E4D134204F2AD4272D1F289AFFAE3E888F478F54674389
Key Value
FileName./usr/share/doc/python-cvxopt/examples/book/chap6/consumerpref.py
FileSize3991
MD55CCD74DD7D1E5423D4C8C18F3FEFCC2F
SHA-10FB481D08091F23B0622C13CC9F8ABFB75FF9BC3
SHA-256806DD9B8F6944C06A04A87D8FB2F986747E900D0136FFCFB5F40CA007D98891B
SSDEEP96:AJOmZEEFIXIZJj0SRQwC5Aw212g0SRojzhze:AImWCIXIZJj0S+wCCXgg0SiVe
TLSHT15D81EC03127AE9344A07D7FEE5913310A92DD8EB6D1A3886306E0E875F175ED6232D5F
Key Value
FileName./usr/share/doc/python-cvxopt/examples/doc/chap9/floorplan.py.gz
FileSize1507
MD53D46A3E0091B6C5456B860784E4ED58B
SHA-110B5C849601281E41F0E47BEA7D21D09AAE4391A
SHA-256B3D430325563926C6520EFC4BB2EF20814B6811390A6A6D86832690D27874061
SSDEEP24:Xby2zMH0eOxdTGRnLyIkbUNICSbQ8bd9iwZgbd0a5YmStsd/8y7BPL7wvBT7:XbrwitG1vNuQ0iw0+a5HSQ/z7Za7
TLSHT1FC310A927C3839084128FE4A0E861EEF602EC01F68A120A1347E301B9F096C780E53E9
Key Value
FileName./usr/lib/python2.7/dist-packages/cvxopt/lapack.so
FileSize237600
MD5B837C56CF50D9DA3633397412496AF68
SHA-1111EAE6C213927ADF7A3760C53A276A6FD9013A1
SHA-256C174160C6A8AD0C22F993CE360D448595C4A9A42AA7744C9B89E7C065E178DE1
SSDEEP3072:0KTVZqicUcTUkO0knmnYhPz/v4e5uu9eYFDiNp:3Z2UkO0k2YNz/AK
TLSHT10D34C631FB6311F8C515C8B44A6784E36AB0790D82357A757A8C9B753FA2F20A32F764
Key Value
FileName./usr/lib/python2.7/dist-packages/cvxopt/base.so
FileSize181216
MD5359BD2D98A8A9D8F02A07DF7B6D9BB3D
SHA-11191F8F6C53AA6C47A519399F7CE11B6FC3E3D97
SHA-2563B094E73FF9406CDD11A015CDD19423ABCDF948F066ECAEDEB9B550C73BF359D
SSDEEP3072:AqSEje42i9zQ5qdVt/kkUFuCaO4Q8nG7NtaECmOonol:6EKVi5mKWLNt3CmOo
TLSHT11F043B97E0A214BCC1A6D4314B97E1737AF1F82943252B7A3688DA302F67F205B6F754
Key Value
FileName./usr/lib/python2.7/dist-packages/cvxopt/cholmod.so
FileSize289504
MD568CF605FB6AF608BF4F5D1D3B2A78A4C
SHA-111E8A3095A17B083205DA77A966128A823A42E09
SHA-256E3E4C981062D6D8F3D58E02E887DE0BCE9738359CB379B229D5C9BF65F622E20
SSDEEP6144:zdFWmSQ5ArBHkvEXXARtgJHxyKHRPJqDCu44kWdR:zdAuCrK8HlRinc
TLSHT1B9541A07F0A200ACC19BC875C7B679736A31785C81253B767699E9382FB9F209F1B716
Key Value
FileName./usr/share/doc/python-cvxopt/CVXOPT.pdf
FileSize889714
MD56264A3CDFEE65A9692E7B28B8BED4CDC
SHA-113EF4E32FBB93B96AD9458BB37502E95A847C94C
SHA-256BC6495CB61801AB5481503A8C182A93FDB556F70B8500E459E5A1B1F0A3F1267
SSDEEP24576:lWwsUmqb7D/0hqQB9mtxhEYj3XhAP8CLq1:wwBLbAIxSYjn2P8Qi
TLSHT199157B78E6C85CCDF0C2CF76943BB16C567F72639EE8784164784904D49A48AABC3AC7
Key Value
FileName./usr/share/doc/python-cvxopt/examples/doc/chap8/conelp.py
FileSize815
MD5EA54E397E3093B100C5BBF14C3A4E06D
SHA-114BC88EA42FD67A8DCA767FADCAAC178D8332816
SHA-256949E33AE7959C59A90D10159DA32363FDD36BB226DE58E1F3A4569FB46433DA2
SSDEEP12:UIFEa7NQBQMLt1YcTYeul+RHbq4Gn+1G2rAoDo29gzKaneSnYtfszECro:UI57NEnZful+xua/A8mKank2vc
TLSHT1AC01D49F91873CF4432E8B74A0471D1467B6C83979D73188387E8E2DAB3DB8496ACE54





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