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 sage-support+unsubscr...@googlegroups.com. To post to this group, send email to sage-support@googlegroups.com. Visit this group at http://groups.google.com/group/sage-support. For more options, visit https://groups.google.com/d/optout.