Result for D5AC62AEFEEDC52CE13FD9C64B0AA20F8CE79C32

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Children (92)

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Key Value
FileSize974148
MD51F24729366C4DB9A7B93F750A766E08C
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-cvxopt-doc
PackageSectiondoc
PackageVersion1.2.3+dfsg-2build2
SHA-1D5AC62AEFEEDC52CE13FD9C64B0AA20F8CE79C32
SHA-256A8BA2AC06739188C27064D5AA35788B9BD690E8EEA1E88F85CA986F9312016F8
hashlookup:children-total92
hashlookup:trust50

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Children (Total: 92)

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/examples/book/chap7/expdesign.py
FileSize5122
MD5198DE8813E9A4000517EECF1DB3BD1EF
SHA-1046062AF6D5BB6AD2FE59D9F82B4E5BB8AFFE638
SHA-256C2647C1AA0A7C8274701B7014FE9459EEAF65EC168A65FFA50B614710BE2DF9E
SSDEEP96:0fYq/bc5HONcD44C5JYrZ427tHyCkS+rHT424ZXPdOEa4Df27Bsuu42Z1:6Y5HO2kdfYdBHyFZ7boXPdju72vL
TLSHT1C8B198079802946AFB5FD059C5DA1808472DD26B9C1F381535EC0FC55F6F9B8CE72E49
Key Value
FileName./usr/share/doc/python-cvxopt-doc/examples/doc/chap9/floorplan.py
FileSize6264
MD58861A16A6800F8ACC296764A36E0DE41
SHA-105DCAD084657C2DD0E993D408C2BBE1A4F154F78
SHA-2563FDCC3EED3D17236AE9F6231A715220B78E64F96D440E44B426941D3BE640699
SSDEEP96:FqyMe/GNDcmtCoUxUuregp5/O8Yiyn7rkQjbuoxWqBoxWToxWrroxW3:FHMe/GNcVyCVQRHkQf1ROZssE
TLSHT1EDD1AA1A46D7F148C23AD07A45C4DC165B298177184C6E9E31BEDFD05F87BE0CD3A92A
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/coneprog.html
FileSize221072
MD52025262929B9D0F27781C8CC808B02BB
SHA-10E66522636FDB8E80234C9EB2B8ECA7C7BB01D28
SHA-256E6E270B5E719344B0BD5F45950B48A9D7F3504AFAF5FC6F073BEA115F51579FA
SSDEEP1536:lJpBFEeGqQMqq98v/TeLhvY+ZXKBnsPufq60ltKkTgNs8Uu:lJRlqHeZ6Fqvg
TLSHT1FA2494E4A5F78533053780D3A2EE0B75B4E9482AE4860441B7FD97B887EDD90B817C6E
Key Value
FileName./usr/share/doc/python-cvxopt/examples/doc/chap10/l1svc.py
FileSize490
MD5ECE3CADFD36E59BDEEC93649A1EA7F6A
RDS:package_id182052
SHA-1160E78CFFD859CADE5C2C30FA5516C0FF8DF28CD
SHA-256DC5017A9F68AA8739FE16FD574BD7F78C5B25C7B07B7305E0B9724855993792B
SSDEEP12:HK7NQWQ7HBtu4Zz7lyAKRbogbZKxBbhKgFpSBIWEz:q7Ny7S4Zz7lcbogbZKvbhK3Mz
TLSHT121F09E07A5B27D14FABB98D5C18D45893FF500AE1D113E951174070ACE598B15CE3CEE
insert-timestamp1679426071.4763906
sourceRDS.db
Key Value
FileName./usr/share/doc/python-cvxopt-doc/examples/book/chap6/robls.bin
FileSize79954
MD5C823634C3CA1DCB02A864D124B6B1D94
SHA-118CB3ACF1025F618AEC4D84D56D60593272CAE28
SHA-256CA5DB0B8044A6F01845C6F7C84CC1327BE4615DFE9E684818784C823BCC520E3
SSDEEP1536:8pDlquwq9Xi8dnpYKZAmXco5WIOCM9zydiqNP2xxqKACo:Eb
TLSHT15C7383E02FCC6092EC5AF1A74E3B97F5E32222735587F34D0171A7584F5AA6A0F1A90D
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/_images/normappr.png
FileSize24912
MD5451AE7855F8B0CC7983C84FC7C563DED
SHA-11AB5CA7F9AF6B6771B27EFD196D1F9DF0D236E4E
SHA-25624492BF54687BC700696CE020B416E9B117025294959B4F513C0BDF40D5355C1
SSDEEP384:Mq7MOEhTTF2dqAswRpAY5o8Rt4omnTvLQqRoOCMPvT3DfvYjrUAPDsiP3xH:sburswDXKnfdXTTfU4GF
TLSHT1EEB2BF7CC9E3A842F66900F8B2BC646735F722D7104E6648ABF53DACB8B73A5C481495
Key Value
FileName./usr/share/doc/python-cvxopt-doc/examples/book/chap6/regsel.bin
FileSize4772
MD55A6E8EA0BE1EA0F3402FF1A4BB634D9B
SHA-11BBDA87E104F818B12F7DCA08E568F1CEEDCD7C1
SHA-2563F4785F872F24A263CB92F5FE361C9BB127E8AC8D180312B5FF33E17CC31C036
SSDEEP96:jfNbY4fMDVGvXpWjBfaoDYBpxJYKrGrDeVF+KfWUsvAfnR9T8:jNc3wPpWjBfQJl+K+UEA8
TLSHT192A163901F8CA5E1DC9AF0A76E27A7DAA682267315C3F3C811B46B001F5E697DA0F501
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/solvers.html
FileSize144944
MD5285F4AE9D441379D677BD03483C4E617
SHA-11BD5E36A8E7C8BD95EFA51FE1331AC356E5483C5
SHA-256F4A3F13EDD3AC6027C564E15B0D61A889738947D39C48B66E22D0ACCBAE5A652
SSDEEP768:I0grbsdEAhG75K2jLRJEPllJQOfjzjMZlh4CfSx5YVKDRk:2gw5K2xYLQO7zA3SfW
TLSHT1F0E385D4E5FB81330537C1D3A7EE0B25B4E9482AE5860441A3FDA3B887EDD907817D6A
Key Value
FileName./usr/share/doc/python-cvxopt-doc/examples/book/chap8/placement.py
FileSize5160
MD55131F305602CC2354359E05497CE4E74
SHA-11E45E203266D1E8DF515B1AA3767E6FA987A1461
SHA-2562431395F2310A6EA9CB05781DD7240FFDA5781B2A5AA9F2954FE3EBC17C24059
SSDEEP96:iAH1nH1qMXjY7HCndgef7vJQoGfbYcuKGdIr5uLp4vI1GI2XNp4FI1xTPFRp4JIz:i6zE7HCd1f7vJQBfcFKUItnKeIKdsKd
TLSHT164B17247648386BE5B1BC0E5C4DE2900162890B7640D901432FE4FE6AF4BEFEDE79E55
Key Value
FileName./usr/share/doc/python-cvxopt-doc/examples/book/chap7/maxent.py
FileSize2718
MD57BB941B63D091C3DE02468C14DA17C52
SHA-11FE073696688F967DFCCB4F63DC1B98B53074DD8
SHA-256CBD38CEDEE2CCCE86591CEFAFE19F8BFC787F246B1760DBEEDE54BDAED4081EC
SSDEEP48:/J2a1qc8thYMhvVDKd9Q2339/WwBsTRrtx2mF5yr6n+/YGlXWls9ICZjLWn3nZyA:hyxOMVZC3t/Jsx2y5yr6nhGkcrh0Uc
TLSHT1EE5195A6428BA415DB27C0BAD0DD28487F1EC462F80E3060B4FD5EC45FAB2F1C6B4E16





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