Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Darn, no benchmark against Ipopt, which in my experience still gives the best black-box performance on large, sparse quadratic problems. In my experience the commercial solvers (Gurobi, Mosek) are actually quite slow.


I am happy to compare IPOPT as well. There was a github issue for this: https://github.com/oxfordcontrol/osqp_benchmarks/issues/1

As I said there, the current IPOPT Python interfaces do not report the timings. If you are aware of any fair way to time it from Python, I would be happy to add it. In my opinion using the Python "time" module can cause lags due to the Python interpreter.


If you can write your models in AMPL or GAMS or some modeling language, you would be able to test IPOPT's raw speed.

I used IPOPT from AMPL for years and it is a formidable solver for general large-sparse NLPs. It would be nice to see benchmarks against it.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: