Result for 5D9AABCEDBBD8B56369AA8C539FDCEE4531CFF77

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Children (423)

Query result

Key Value
FileSize1432856
MD59224F9F7425AB65C306EED1756694958
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.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-cvxopt-doc
PackageSectiondoc
PackageVersion1.2.7+dfsg-2
SHA-15D9AABCEDBBD8B56369AA8C539FDCEE4531CFF77
SHA-256B3288775FB6EDE6E7E711BDEC4501CFD812C69605C228EEA7F1F9F1294F95EB4
hashlookup:children-total423
hashlookup:trust50

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Children (Total: 423)

The searched file hash includes 423 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/_images/math/191bc203fa207a53847c892bc9bc56a69a1c60c1.png
FileSize2470
MD559B33D485A2D150D763C33830406CFDD
SHA-100E40066B89CDEB19E44F878115B74E4039A9EE8
SHA-2566EBFC0BAC909DA3A807B94804A2BA543E78AFBA96B199CC1123A133594B901ED
SSDEEP48:yEfsk/BjO/uUooXAuHI+ciRESOCw6UVlEUrqM0GFa5:yEfsZunoXFAivvOSrGFa5
TLSHT19C512AEBDF070621DFFE8571382A7D91E311E62061EC025424095201BEED74C979E268
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/_images/math/e61f71e6c396a94105e3437275d3449a61f9d802.png
FileSize774
MD53BFE3A30B8740AD5948B7863444728EF
SHA-101943A975C9CEFB1564629668373018338A81320
SHA-25699CE22F25BEE792883C324613A1BE7D59A8AB673338486A957CFBF90FAC26B07
SSDEEP12:6v/7q+Jgqk6S5DF8L5gZP4z+6Ckd2choOM4+MCu5TcycBzT57Hg+j3l71i1EapJV:XBU5glj6gcbMzqdqBFxw1rT
TLSHT17C0199E774BB9F27D622653D3FD4F09170D56259D9851DC9220EC3556A0C0B486D4E02
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/_images/math/1e7e60bfda710d3db286c7b54852b9cb3e77c861.png
FileSize2440
MD5494A64F59FABE9EF34B9D755502346C0
SHA-101BF91CAE81E24D01C6D0D767DA2FB40022C9053
SHA-2565527DE8938A7EEEE17873789E2AC9F178E88293231F01EAEBD0BB25455CAED77
SSDEEP48:gIbyUYx7s/fXRGGEa5UyrRQSDTyGdvmxQWc+LNlGALf:T/+kfXRQ+lQSHnIHcEJ
TLSHT1FD515BD59D1D0C7FD82383F482190591E017B06FE9E58AD32080BA8615C8EEB86A15DE
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/_images/math/4e317307fb34d4308336c7711497db123b7d9def.png
FileSize1700
MD5E90969A3A827F8D954A13CD4BBB2A731
SHA-101C5D5EE8EE6B0233AD860A3BFE58C7BC78E11F6
SHA-25653D64D001F7B9DDD8929B73D26061C91496E6F9E3CF30580CE2AD876F72AC320
SSDEEP48:yr0s7rStZMWO28diFLSNvkdBEuFK51My+7l:yr0MSt8ULMsdBEuF84
TLSHT1BD313AEB31D90E52C94C903294A04A2CDD3B2B82E7A401E585E8EC16CF5E154CD534F6
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/_images/math/145a22013f61134f2b61c99bdc4bf56a23e7ba62.png
FileSize1356
MD54DF09DA12CF3056ED9039A6C0854AB3F
SHA-102B902BD6A3FA77F0572BB94300E4C535BC70DF2
SHA-2566452CA3E45AE0D7F91C6555297C9236AB2995F11A1316C7B3AF1436955A9DE8A
SSDEEP24:3MMmOwboIqKsfZSCOKSU0oz+IZQV5hRlWXTdnh3Z8s7l:dmOwbFqKsYCD1ZQV5DlWDDis7l
TLSHT1B92198F540772C74C678B77F2802E0295960019916C64946AABFE33B5F3DF8E6736722
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/_images/math/3f12bcd60dcbf296614984241c025a909a803e1e.png
FileSize4639
MD5BFACCAA2062EAA1A87FEA22E3C7264B1
SHA-103D8B77B4620C3B69360ECBCF8E832DA5F45199E
SHA-2567422FBE0175D259C0976909E62DE00A7C8152ABB45D333E2102D8ADA8F5436A2
SSDEEP96:Cf2W36RiBAsnnAd+rEIqK9rrcTRL8CGpfUDCWC6r5hSGQZ8QYq:qBqiWsnAdihrSRL8npfnWp5hyj
TLSHT10DA16DF7BA592414ECCFF2B1534046604B23F66B994AF4CE0CA11DA1E95543988F29ED
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/_images/math/973e7149b3e7c5fd4b7a92e36771cc6c2d6e620b.png
FileSize1154
MD5BAA2496EA8D9E9B9B31C6A5B1DCFF273
SHA-10416827E489C7E6CA0735FC014236C427461BA42
SHA-25611C434E85737E18BED55E2AFBB2E15404361E83D69E9BAC404C7EA1F93CAF3E2
SSDEEP24:PTk7CDKlBCZs3+h5xYGyhvNMV06RCYj0jysFIwNCyIIqlZ2yz:PTICDQxGyhVMV06RCGsFIs7IIc2o
TLSHT1F72196DA243AA634D348643EA26C6C0E8F412CF8F428148413965D1E44F255F46AC499
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
MD5C65E34B3D3EABBEF3A26DEAF77F41E32
SHA-1063E64DCDB7255ED06888AA4D3C747BB7CA508D2
SHA-256BBDDD99CF7FB0D5BDE573CF1C47EC1A4EF05B5003684BDD1007E842E3050036B
SSDEEP96:FqyMe/ONDcmtCoUxUuregp5/O8Yiyn7rkQjbuoxWqBoxWToxWrroxW3:FHMe/ONcVyCVQRHkQf1ROZssE
TLSHT102D1BA1A46D7F148C23AC07A45C4DC165B298177184C6E9E31BEDFD05F87BE0CD3A92A
Key Value
FileName./usr/share/doc/python-cvxopt-doc/html/_images/math/fe748f1ddebc2719b738533481dc2070aa3f8b04.png
FileSize2610
MD5A0F65F671FD33E6487BD753C9EF1411C
SHA-10817E5C68ED78DAF2D51CD8417EE329955935A2B
SHA-25669AFE88C0EE1ED96497077320189B6E08F594902693E849A1A95C1DFA51D9598
SSDEEP48:ftbIo/CKlAaOwUYABZNLxWdjPQTq+f2MSZren7AWI07g8o9:fiCCft9BodcHln7E07bo9
TLSHT16A515D469BA83187F2FFD07616B63444EC674355BBCE7FDEC52881126B305418953103





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