Hello guys,
I have a quadratic programming for instance like the following equation:
max t1.f1 + t2.f2 + 0.5f1 + 0.3f2
subj to : 0.1t1 + 0.2t2 <= 1
2f1 + 4f2 <= 0.5
(f1, f2, t1 and t2 are unknown variables).
If I had min instead of max in the program, I would be able to solve it by
using solvers.qp() in CVXOPT and change the program to the following form
:
<https://lh6.googleusercontent.com/-WZuYrkYYeqQ/VKqsaKp7RbI/AAAAAAAAAT0/sTd1R6zYwuA/s1600/f.png>
But in case of maximization, I don't know which solvers can I use and even
how can I modify the program in order to be solved by another solver.
I would be appreciated for your helps and comments.
Regards
Pegah
--
You received this message because you are subscribed to the Google Groups
"sage-support" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
To post to this group, send email to [email protected].
Visit this group at http://groups.google.com/group/sage-support.
For more options, visit https://groups.google.com/d/optout.
