| Key | Value |
|---|---|
| FileSize | 1883340 |
| MD5 | 85E248863BB90337EFC304AA62222397 |
| 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 | Soeren Sonnenburg <sonne@debian.org> |
| PackageName | python-cvxopt |
| PackageSection | python |
| PackageVersion | 1.1-1build1 |
| SHA-1 | E1887A8247FB4192D7392E638472FAC5D8DBD58C |
| SHA-256 | 860CBFBE16801C509B856FE66FADE0C6B080485BD5E16EA7E7322D98DCB3232B |
| hashlookup:children-total | 97 |
| hashlookup:trust | 50 |
The searched file hash includes 97 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-cvxopt/examples/doc/chap10/l1svc |
| FileSize | 497 |
| MD5 | 807B22DC8014D1B7E6768D6B62CBF616 |
| SHA-1 | 00BEC9B75D0619A6A99864C48EA703E1AFF37E66 |
| SHA-256 | F4EF025AE46900DE439C2D98A061F15AB13BD46416E48E9243D95D158A78912F |
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| TLSH | T160F09E0B60627D24EBB7DCD5D18D45997FF500AE1D113E951170070ACE698B05CE3CDE |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-cvxopt/examples/filterdemo/README |
| FileSize | 445 |
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| SHA-256 | E0BD74AB3AB9E69F55A77A6DEDC7BDE44750C3D250DAFABB2FC61E121AF03095 |
| SSDEEP | 12:eZsDkMJ4/REY7AIKI08goCShQRv26NepL5XFHncqCcoCPPpG:oKkMJ/Y72I0KCQ0v26UpLZFHncjCZG |
| TLSH | T123F02300C40D7DF4E342201BFD321470D8B5C90C23EA30195CFC56E55943DB0D4D1A90 |
| Key | Value |
|---|---|
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| Key | Value |
|---|---|
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| Key | Value |
|---|---|
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| Key | Value |
|---|---|
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| Key | Value |
|---|---|
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| Key | Value |
|---|---|
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| Key | Value |
|---|---|
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| Key | Value |
|---|---|
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