Key | Value |
---|---|
FileSize | 974076 |
MD5 | FC3BE75463E57E8209E77A765701A8AD |
PackageDescription | Python package for convex optimization (documentation) 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. . This package contains the documentation of the Python module. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-cvxopt-doc |
PackageSection | doc |
PackageVersion | 1.2.3+dfsg-2build1 |
SHA-1 | DB7D173211C7816335674F789BEF730916CAD22A |
SHA-256 | F5545AFB411CCE4B1A1FE4BBBCBA8F55F3F1FA528BBFD5DCE8976028D2E99C2E |
hashlookup:children-total | 92 |
hashlookup:trust | 50 |
The searched file hash includes 92 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt-doc/html/printing.html |
FileSize | 19402 |
MD5 | BF54338F705DF0F6ECE1DF79DC2F3BFF |
SHA-1 | 045441839F73DA27E4E7B4B03BC29C5C191FA6C8 |
SHA-256 | 9B2A35D26BA3CB101F02203BCC39FCDD945356ACBEE6139FF8F258D65C7EB4E1 |
SSDEEP | 192:arhT7qbHN/hi0vWil6xraUCDv7DRzHLW18ta4xP9jj8R+Okbq8i4bO83Ok:alT7qt8GJmfCDv7DR5xPk+Dk4Ak |
TLSH | T1EB9294E591F39536003388D392EA2B3875EE942FE4930481F2FC57A85BDDD89B81791E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt-doc/examples/book/chap7/expdesign.py |
FileSize | 5122 |
MD5 | 198DE8813E9A4000517EECF1DB3BD1EF |
SHA-1 | 046062AF6D5BB6AD2FE59D9F82B4E5BB8AFFE638 |
SHA-256 | C2647C1AA0A7C8274701B7014FE9459EEAF65EC168A65FFA50B614710BE2DF9E |
SSDEEP | 96:0fYq/bc5HONcD44C5JYrZ427tHyCkS+rHT424ZXPdOEa4Df27Bsuu42Z1:6Y5HO2kdfYdBHyFZ7boXPdju72vL |
TLSH | T1C8B198079802946AFB5FD059C5DA1808472DD26B9C1F381535EC0FC55F6F9B8CE72E49 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt-doc/examples/doc/chap9/floorplan.py |
FileSize | 6264 |
MD5 | 8861A16A6800F8ACC296764A36E0DE41 |
SHA-1 | 05DCAD084657C2DD0E993D408C2BBE1A4F154F78 |
SHA-256 | 3FDCC3EED3D17236AE9F6231A715220B78E64F96D440E44B426941D3BE640699 |
SSDEEP | 96:FqyMe/GNDcmtCoUxUuregp5/O8Yiyn7rkQjbuoxWqBoxWToxWrroxW3:FHMe/GNcVyCVQRHkQf1ROZssE |
TLSH | T1EDD1AA1A46D7F148C23AD07A45C4DC165B298177184C6E9E31BEDFD05F87BE0CD3A92A |
Key | Value |
---|---|
CRC32 | B0425448 |
FileName | ./usr/share/doc/krb5-doc/_static/language_data.js |
FileSize | 10847 |
MD5 | 6B3DDA6636CACEB3AA0785065EE3CB39 |
OpSystemCode | 362 |
ProductCode | 239659 |
RDS:package_id | 289536 |
SHA-1 | 148683D203A3E8F6B644CE5248DFB8F369F5C0C2 |
SHA-256 | 4CD39856438B0EAE2C0155AD15E281513959F7CCF998784E83E803B9BE5B1B47 |
SHA-512 | 76062BEC87D92D1D5C345F97300A913AFDCA1B8E2164DE4629D7A17FB4D756945E42A01F4C927873D99DBB0EE69E1117831B82CA6E8799F0F55CA6E848A123E7 |
SSDEEP | 192:JAYTjIOZHlMpwh93Q9ZQiiicaSE99gZ9s91FT9fqc39kQ9QcVfjHiemQqKIpJDek:JAMl3IFpHpm9ter2gHZ3q |
SpecialCode | |
TLSH | T1F122311C0C8F04A5661BB54D4FCF444E9AB56D275A1CEA14BAAE479C6F0C8EC03F26ED |
db | nsrl_android |
insert-timestamp | 1727098323.917193 |
mimetype | text/plain |
source | snap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt/examples/doc/chap10/l1svc.py |
FileSize | 490 |
MD5 | ECE3CADFD36E59BDEEC93649A1EA7F6A |
RDS:package_id | 182052 |
SHA-1 | 160E78CFFD859CADE5C2C30FA5516C0FF8DF28CD |
SHA-256 | DC5017A9F68AA8739FE16FD574BD7F78C5B25C7B07B7305E0B9724855993792B |
SSDEEP | 12:HK7NQWQ7HBtu4Zz7lyAKRbogbZKxBbhKgFpSBIWEz:q7Ny7S4Zz7lcbogbZKvbhK3Mz |
TLSH | T121F09E07A5B27D14FABB98D5C18D45893FF500AE1D113E951174070ACE598B15CE3CEE |
insert-timestamp | 1679426071.4763906 |
source | RDS.db |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt-doc/html/intro.html |
FileSize | 11838 |
MD5 | 4649B4563C3CCC2AC6E46839764C5A01 |
SHA-1 | 17D1C2CD0E27A7EA33D0A7E8929332CA54831C51 |
SHA-256 | F60F22B49F6ED091C96D8ED4DFE9F7A7F37EAF607D2601E6EC09F489BCEEC524 |
SSDEEP | 192:Srz+T7qbBN/hjuvEGgapwpz6BFM8tpZOk:S2T7qHFIbrPBa8tik |
TLSH | T15E32756114E56A3B012342E5EA952B3D7DDB901BE14B5C41B4FC03654F83FE8AA2B31E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt-doc/examples/book/chap6/robls.bin |
FileSize | 79954 |
MD5 | C823634C3CA1DCB02A864D124B6B1D94 |
SHA-1 | 18CB3ACF1025F618AEC4D84D56D60593272CAE28 |
SHA-256 | CA5DB0B8044A6F01845C6F7C84CC1327BE4615DFE9E684818784C823BCC520E3 |
SSDEEP | 1536:8pDlquwq9Xi8dnpYKZAmXco5WIOCM9zydiqNP2xxqKACo:Eb |
TLSH | T15C7383E02FCC6092EC5AF1A74E3B97F5E32222735587F34D0171A7584F5AA6A0F1A90D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt-doc/html/_images/normappr.png |
FileSize | 24912 |
MD5 | 451AE7855F8B0CC7983C84FC7C563DED |
SHA-1 | 1AB5CA7F9AF6B6771B27EFD196D1F9DF0D236E4E |
SHA-256 | 24492BF54687BC700696CE020B416E9B117025294959B4F513C0BDF40D5355C1 |
SSDEEP | 384:Mq7MOEhTTF2dqAswRpAY5o8Rt4omnTvLQqRoOCMPvT3DfvYjrUAPDsiP3xH:sburswDXKnfdXTTfU4GF |
TLSH | T1EEB2BF7CC9E3A842F66900F8B2BC646735F722D7104E6648ABF53DACB8B73A5C481495 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt-doc/examples/book/chap6/regsel.bin |
FileSize | 4772 |
MD5 | 5A6E8EA0BE1EA0F3402FF1A4BB634D9B |
SHA-1 | 1BBDA87E104F818B12F7DCA08E568F1CEEDCD7C1 |
SHA-256 | 3F4785F872F24A263CB92F5FE361C9BB127E8AC8D180312B5FF33E17CC31C036 |
SSDEEP | 96:jfNbY4fMDVGvXpWjBfaoDYBpxJYKrGrDeVF+KfWUsvAfnR9T8:jNc3wPpWjBfQJl+K+UEA8 |
TLSH | T192A163901F8CA5E1DC9AF0A76E27A7DAA682267315C3F3C811B46B001F5E697DA0F501 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-cvxopt-doc/examples/book/chap8/placement.py |
FileSize | 5160 |
MD5 | 5131F305602CC2354359E05497CE4E74 |
SHA-1 | 1E45E203266D1E8DF515B1AA3767E6FA987A1461 |
SHA-256 | 2431395F2310A6EA9CB05781DD7240FFDA5781B2A5AA9F2954FE3EBC17C24059 |
SSDEEP | 96:iAH1nH1qMXjY7HCndgef7vJQoGfbYcuKGdIr5uLp4vI1GI2XNp4FI1xTPFRp4JIz:i6zE7HCd1f7vJQBfcFKUItnKeIKdsKd |
TLSH | T164B17247648386BE5B1BC0E5C4DE2900162890B7640D901432FE4FE6AF4BEFEDE79E55 |