#6456: Upgrade cvxopt in sage from 0.9 to 1.1.2
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Reporter: was | Owner: mabshoff
Type: defect | Status: needs_review
Priority: major | Milestone: sage-4.5.2
Component: packages | Keywords:
Author: schilly, dimpase | Upstream: N/A
Reviewer: | Merged:
Work_issues: |
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Comment(by schilly):
Replying to [comment:42 dimpase]:
> This incorporates the #9598 in 1.1.2.
I tested it again and also tried to use glpk as an lp solver and it
worked:
{{{
sage: from cvxopt import matrix, solvers
sage: c = matrix([-4., -5.])
sage: G = matrix([[2., 1., -1., 0.], [1., 2., 0., -1.]])
sage: h = matrix([3., 3., 0., 0.])
sage: sol = solvers.lp(c, G, h, solver='glpk')
GLPK Simplex Optimizer, v4.44
4 rows, 2 columns, 6 non-zeros
Preprocessing...
2 rows, 2 columns, 4 non-zeros
Scaling...
A: min|aij| = 1.000e+00 max|aij| = 2.000e+00 ratio = 2.000e+00
Problem data seem to be well scaled
Constructing initial basis...
Size of triangular part = 2
* 0: obj = 0.000000000e+00 infeas = 0.000e+00 (0)
* 2: obj = -9.000000000e+00 infeas = 0.000e+00 (0)
OPTIMAL SOLUTION FOUND
}}}
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dear release manager, please don't forget to include GLPL as a dependency
for cvxopt in the spkg/standard/deps file according to
[http://trac.sagemath.org/sage_trac/ticket/9598#comment:3 this comment].
--
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/6456#comment:43>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica,
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