Result for 34A2A73C35EFE91BF8A87C57EE0D02568D2F7ADC

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Children (95)

Query result

Key Value
FileSize1720432
MD54DA162232637FC38A1ABD363F642C751
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 MOTU Developers <ubuntu-motu@lists.ubuntu.com>
PackageNamepython-cvxopt
PackageSectionpython
PackageVersion0.9.3-1
SHA-134A2A73C35EFE91BF8A87C57EE0D02568D2F7ADC
SHA-25663551F3F988EC6CFA9FA6055E6C1F89425A832108A1AC691C5799C3B66F5F204
hashlookup:children-total95
hashlookup:trust50

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Children (Total: 95)

The searched file hash includes 95 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/doc-base/cvxopt
FileSize890
MD50FB96DD2F91C37F8A9A144F3DA1A7663
SHA-106BE23FC1601D7892A63010AD7506380013AFD05
SHA-25655CBE032A18BAC3E24290F5EC25C17FF85C9FB61DB889824E1BE1E9617B8BEE5
SSDEEP24:6tAyp0aJbWGfxyq8ciKKSuCYqZxpNqDEx6AYqLNm438SsqFdVlE:QKCbuq8ciKBYKzDxfYaNm4TjFdVlE
TLSHT17211560C916235BC551271CDD78119104F3815A9720B63854C7840B333C79E9937F3EB
Key Value
FileName./usr/lib/python2.4/site-packages/cvxopt/glpk.so
FileSize15780
MD58DE312CA0468261C98DF0E934756FBED
SHA-10CCE76C9B6065FA5E28061F83766865C99913438
SHA-256BD3FD4B4D498C7C99228CEA295775E9F9A19FDF07CDB8C8DAC3AE48129D27EC6
SSDEEP192:XgxX00XSitxQE0XILX3Qgc2EwjHt+C2N69NWsvDm1DuwejqaBNVMVIXe/fZva4O7:XgxX00iitZxggTjNK8KPeTToS4
TLSHT16C62D71B9980C733D55A21B403C7A565FA21E531B257C793B00D9F6C6B70AD0EB0EB57
Key Value
FileName./usr/lib/python2.4/site-packages/cvxopt/gsl.so
FileSize6976
MD55E11FC4A85BCB28B216B7DD4CFC50161
SHA-111B65A06D69E7C06C82AB2541BF7944ABEAF0D18
SHA-256B1ACF32F3FF991A3DAD062A715E8A5F7FAC75265CBF08437351CAFEB86049089
SSDEEP192:rx2Czu1REAvtX3QgcS1DdAM1/JUCptat:rwCzuMIlggzdAMTK
TLSHT1AFE1C763BE41C933C09211B881EB9158D630D1006EB7C653725EAA5C3F67863BA35BAA
Key Value
FileName./usr/share/doc/python-cvxopt/examples/doc/chap10/roblp
FileSize507
MD58E97815A4E277B3CD1E8D952AE976FC2
SHA-113924DCE887C4C503A497F2B2471D4B664A18D0B
SHA-2567AA7BB6CECAC6D5E26EB1A85141E4ED74C6ABD98C29B54BE28D460862EE5F09D
SSDEEP12:He9v7DWn7HBtu5nld7lyl/lZPGGg2IFaZ6N2F+BNSWEg:+N7u7SZ/7lM3g6ZQ5bAg
TLSHT1D5F00E0D7400BCB09ABAD8D08CCC1A103672228B0A713D03345C47CACBB86707EB3F86
Key Value
FileName./usr/share/doc/python-cvxopt/examples/doc/chap10/lp
FileSize1115
MD5D616F95108828979A9C44CE61EAE879A
SHA-116ED4BF0622E105A1B1781B066FA35C9EF9FE0F2
SHA-256D6C66D7E487AD150B8F0CB16C62C9DCACD3D62D1693673D73780F16D3883C9E1
SSDEEP24:+dI17kF7SqKtpy9L0dGACrYuUw9vu0Trfk:+KyMqKtKeGLrzUw9vuJ
TLSHT1B3216B0EBDCB70248D7984CED4ED06552AA2426C29F33EA3A61DDFB29091A55403BB59
Key Value
FileName./usr/share/doc/python-cvxopt/examples/book/chap6/tv.gz
FileSize2437
MD5F7475C1946A0D74AC412CDBBB943605E
SHA-118051E725550642CCA5F542C99011F6DB173AAAC
SHA-256964D4EE828CB12C957BFF51EA7D8041B53BBAF959372B4E3BCDEC27CFACBB499
SSDEEP48:X2i6c9cavq2ASqzdcQKka5LMSRCTba2+oJvASdERK02zZrXD1Gul:ptVBAbSQKka5bo31Z9Ec02zph1l
TLSHT1A8414C1648EA6002991C08FDC059ED15950909DEF7264B19290193B976720EFB33353F
Key Value
FileName./usr/share/doc/python-cvxopt/examples/doc/chap10/normappr
FileSize685
MD5E749E8DF21478A2B5B7AF27C62AD7A19
SHA-1185809A572BBFE878F7C6B256785A71D1CAD4D82
SHA-2568EDBE8ACF65DD52BE582FAA32538CA8512A76062C4B4A838D341EBD1724E8D81
SSDEEP12:HeNSnjo7DWQ7HBtuOWuNhYrkffigmxKkTDb2o6vVSRRxGH5snfwGPYsgwG/slww:+NUjo7V7SJuNOwfqgmxKyGlvI8q+AH
TLSHT1DE017B0CB521B9012BC7CAE9D1DC2B508F7011A2092C64A534AA2F810F6B6B87CBADD6
Key Value
FileName./usr/share/doc/python-cvxopt/examples/doc/chap8/coneqp
FileSize631
MD5C0E6F073B7B50BA296F1A3A9110EDFD4
SHA-11D0FB21D69B50F8DE68240FF2609E7D8587DA0FD
SHA-256D5D9EE638642FC53440F9D986A3CB821AE00252200AFE9318F40ED72D65FEEA6
SSDEEP12:HYGtjXK/sOf7NQtFI7DoAVlBE9I81NaJnjkar4nkMIal3nV7:4GtjnC7NyFI7kmB+I8ijkdkMlF7
TLSHT1F2F0F94FC006B868E6B4E02A89192C910F759D086D2BB400393E55A08FAE2A2CD75755
Key Value
FileName./usr/share/doc/python-cvxopt/examples/book/README
FileSize313
MD53F1C924FE7B72BE2CCD33204BD93B239
SHA-124BD3D31BC460648960662B2CC36D90B9C294C62
SHA-256EE61D8B0B3FC7F748014AE8895541D7DF5E681492CCBCC0E6E7C0EDAAF90BFAE
SSDEEP6:hBmHtpRz98mFjUIAFuMQdcZrXzKDFNgOgTH7FQGlJVnoQrmSovhvWWMQhkA:hB4pRz98yAIAFuMQarXmDFN2hQG/VoIE
TLSHT1B8E07D636BA1A32923D196D940595884F705E023B105083DC66C8444384245D97D9747





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