- subjected to
Available QCQP solvers:
- cplex (license: commercial / full version free for educational / free 90-days trial with limitations nVars/nConstraints up to 500), convex problems only
- interalg (preferably for non-convex QCQP)
If someone is ready to pay for it, free and rather good QCQP solvers can be build around Algencan and ralg/gsubg. Also, in more long-term future IPOPT could be involved, but current IPOPT-Python connection can't handle 2nd derivatives (that is very important for handling QCQPs).
Some optimization frameworks or standalone solvers (beyond OpenOpt) use other definition instead: .
Thus if you'll translate some code to or from OpenOpt, ensure you put correct sign before si.
You shouldn't care of it if you code FuncDesigner model.