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I ran the Maros Mezaros instances and some QPLIB (those that did not return errors). What I observed is that many objective values do not match those that are reported elsewhere, for example PRIMALC2, DUALC2, BOYD2, PRIMAC5 (MM) and 8792, 8559, 8567 (QPLIB), ... These examples are completely off and not just a little, so it cannot be accuracy.

My suspicion is that there is a problem with the instance parsers, for two reasons: (1) MOSEK returns the same (incorrect) objective values, and (2) QPLIB returns error messages for some problems that upper bound values exceed lower bound values.

Great work! It would be great if IPOPT can be added into benchmarks as well.

Hi,

I am using Ubuntu system. Should I put the osqp_benchmarks to some specific location? Because when I tried to run run_benchmark_problems.py, the terminal shows ImportError: No module named osqp.

Hi,

I tried some qplib problem benchmark test, but found there are some non-convex warnings. I was wondering if you met the similar issues? Such as for "QPLIB_0343", OSQP showed "ERROR in LDL_factor: Error in KKT matrix LDL factorization when computing the nonzero elements. The problem seems to be non-convex".