Key | Value |
---|---|
FileSize | 1793892 |
MD5 | 55868CC2D95B0733AA0F0F29628D6A92 |
PackageDescription | python 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. . |
PackageMaintainer | Ubuntu MOTU Developers <ubuntu-motu@lists.ubuntu.com> |
PackageName | python-cvxopt |
PackageSection | python |
PackageVersion | 0.9-0ubuntu1 |
SHA-1 | 2E708E8BD177E701ABEF8CB39DD024A08D880B8E |
SHA-256 | 044FCAAADCA73CA1369C190CE7A9F91FF0937822E5EFBDB80A423C0AFDC7314D |
hashlookup:children-total | 80 |
hashlookup:trust | 50 |
The searched file hash includes 80 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt/examples/filterdemo/README |
FileSize | 445 |
MD5 | 1836C6FE26415939D5A6F32D3E1A1E34 |
SHA-1 | 020D546E5EF64BE6333D2E45BE1B1DFC32F83C35 |
SHA-256 | E0BD74AB3AB9E69F55A77A6DEDC7BDE44750C3D250DAFABB2FC61E121AF03095 |
SSDEEP | 12:eZsDkMJ4/REY7AIKI08goCShQRv26NepL5XFHncqCcoCPPpG:oKkMJ/Y72I0KCQ0v26UpLZFHncjCZG |
TLSH | T123F02300C40D7DF4E342201BFD321470D8B5C90C23EA30195CFC56E55943DB0D4D1A90 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt/examples/book/chap6/old/tv.gz |
FileSize | 2607 |
MD5 | CD7ABDCBA3D755684426A86A878D7C34 |
SHA-1 | 03EA92BE77916455FFEED0A6521BCDB6A917A7C9 |
SHA-256 | 8FA68D2E7592A7D101A2AA9CDC809E9FB1BFF4A612A1BA7443290907542831D8 |
SSDEEP | 48:XUm9jh/6z4R5ofpW4GWoloWW28r5em/Fv7ZYckh9cIDZnl9TocURME4:E6hSzUuW4Gz6M07FTZYcsD/9Tocul4 |
TLSH | T148514D66B31810A74D2868F8A2354E3C69C350F656F9066C0345BDA25EF87D2420C19B |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt/examples/book/chap8/floorplan.gz |
FileSize | 1634 |
MD5 | 52241D5DECD88B959E20DC3835AA1E11 |
SHA-1 | 074DA68E5032525316E2C31DEDE77DFF4EC5138E |
SHA-256 | BDD2A20F6EC0F6FCE1A0E3D3174711DBAE268D27F91A4BA03052186EE1A5EEA3 |
SSDEEP | 24:XS36SF/smAxCJldjT98Exdo/cr/4Vz5zk5xft5aJwM8+RGB/BqfDEptgX:XSKSFIE/9LpQYxCJp8sGC7Ep2 |
TLSH | T123313A1DFAB4F714DCDD3929D25FC485652AC64CDF34782A0C7A118828817F108B900B |
Key | Value |
---|---|
FileName | ./usr/lib/python2.4/site-packages/cvxopt/base.so |
FileSize | 163212 |
MD5 | 1FAD31382A2453C26BC2BA4713D494D8 |
SHA-1 | 0D049BA9EE184770B562D9B2B5C7405989703892 |
SHA-256 | 9B3789B815C266A8EE0F57656F03BE3212283DCE9006E07A66DCB71576750C1F |
SSDEEP | 3072:MZ6U2x4j6b3OfIzUzrfeXKvYflFngyvWFSLsP6hoQaxvXoFM:c6U2iraSYOSIP6hozxvr |
TLSH | T1DBF31802BA0C4817C5671FB4293F33D1A7AEE59A55F4C1992339671B2A73DF2040B7DA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt/examples/book/chap4/portfolio |
FileSize | 1675 |
MD5 | E5660F0311FDE26B3F0ECEB30A4985B3 |
SHA-1 | 0ECEAF8078915D415386CC1A8D50E75CCE36CC93 |
SHA-256 | F8D2C99B58682A5A2B511139187DB9F2EACE2403A6AD0423EAB6E699C1AD46B2 |
SSDEEP | 24:j3HIBd7kF7l77TknCW8ZmEVmQ9ag4A2FeLJXt1QcFXMUy/bv9x7/dN/kXygO6mvI:jXvrIuDcQJ4tgZt1Tx8vH7jEy3FER |
TLSH | T19731BC0FA2C668540B6BD0C9CAD976407F7BF0261D2F604A76AF4F808F5B5D9C933A64 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt/examples/book/chap6/basispursuit.gz |
FileSize | 2546 |
MD5 | B4EAEEF5AB4E38C9ACDBD779BC2B18DF |
SHA-1 | 10F2EBCE23EEB95794717FB1B23FE201CC38CFA9 |
SHA-256 | 3AA3A93362607A783A9F418D207E3460C7969282F4D4B762A0095B3EE32418CD |
SSDEEP | 48:XGmOUIC///gjZT22EvMLw4b+e5KlhU9L5vR0SpiZdvVXbZnxXeo9LFHZDY:WmOAol04b+ek4L5a6mnxXeebY |
TLSH | T1A4514CAABE0D81FD373204D452081289865BE7B78288623377742ADF4AF75775013F64 |
Key | Value |
---|---|
FileName | ./usr/share/pycentral/python-cvxopt/site-packages/cvxopt/info.py |
FileSize | 1854 |
MD5 | 1051DFEF3EAB7EDE810F2C4EC5963BC1 |
SHA-1 | 126A15EFF8BDB55D515DD7551E7901A59E969ED0 |
SHA-256 | F12BCC81ECF79AE32C7FEF52F9BD5FA20B2D4797EBA0A2F8DA739C3729BD193E |
SSDEEP | 24:nss6P+Xz7WtyPOkHMlCTbVOnZbnXa0osub0PrT5a0DGJ0c7XJyZFg75mO:J6P67iyZHcdnK0oz0340S0cbkUIO |
TLSH | T17131421E2228C6364A8006D6664B49CEF7743793B2AA005E641CC25E1E24E3A1BF5594 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.5/site-packages/cvxopt/umfpack.so |
FileSize | 520852 |
MD5 | C3E4ACFC1BA3A3489BDDB71E7EC769CE |
SHA-1 | 183FBE4124DD3AD1854FDFDE00584F10834A66B3 |
SHA-256 | 0386EB094B21D7093BAFBB20995B383A44F73C732DA0B8EDD8976B778585AEF9 |
SSDEEP | 6144:23as+H52vB/HT2Jqx/XHm+HV+A/BqJJGKukkejJU2p9/RTu0LFitaYoTdbZ:0kZGvy+PHjV3k74kLnvI0LFitanT5Z |
TLSH | T1F3B44A69BE5E0083E0335EB19A2F6BF4B76DF94618E0510B232E730B2A71D3519476ED |
Key | Value |
---|---|
FileName | ./usr/lib/python2.5/site-packages/cvxopt/base.so |
FileSize | 164948 |
MD5 | 1651642A4BD03B8D8A95362E2562FDE6 |
SHA-1 | 188F219D6E934E820B5185434DE490BAB5ECC173 |
SHA-256 | DB8F7B673A18CFA6124D8A2BD3BC380CBD7253CEE60F6BF178DBC1CC97FD7427 |
SSDEEP | 3072:Ur/r334jEBsfUPjtAoicI2yPNhL2R/qPg3Qwl05o8eSs16VoWoBXoFw:G34jEBsxNg9qjez16VoWoB/ |
TLSH | T153F31802BA0D4827C5671FB4293F23D0A7AEE99655F4C1992339671B2E73DF2040B6DE |
Key | Value |
---|---|
FileName | ./usr/share/doc-base/cvxopt |
FileSize | 903 |
MD5 | 64324B3CA2DEAF59A011718AAEBF27D7 |
SHA-1 | 1A1CFB1882540453377A77FC146C042B2BCA9E7C |
SHA-256 | 19CD22B69E021EFFDE2EEECCAE950F6B0941ED3C44707AB2E3DE51C7F5BDA1CD |
SSDEEP | 24:6tAyp0aJbWGfxyq8EiKKAuCYqZNpNqDEpb6oYqRzeMz38SsMdVlE:QKCbuq8EiK9Ykz9NxYi/zTxdVlE |
TLSH | T12411564CD66675B8561275CD96421E208F3815B9720F63450CB841F223CBAE9937F3EB |