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Hello everyone!
I am looking through Van Der Pol example and try to increase the value of degPvals up to 12 as was done in the arXiv paper. I have several questions:
- For the set of parameters specified in the example, the solver gives a value
U=5.82, but returns a codepdINF, which means that the solution is expected to be infeasible. How can we trust such a result? - For the
degPvals=10I found a strange behavior. For most of the runs the solver founds only the trivial resultU=0, but for about 10% of runs it foundsU=5.09(with the same starting parameters). So, the output of the solver is stochastic. If we change parametersopts.sdpa_gmp.epsilonDash = 1.0e-20andopts.sdpa_gmp.precision = 150then the result becomes stable, but the return code is stillpdINF. - For
degPvals=12,opts.sdpa_gmp.epsilonDash = 1.0e-20,opts.sdpa_gmp.precision = 150the matlab stops working after the solver run.
Is this all expected behavior or may be there are some problems related to the fact that I use sdpa_gmp on Windows? If everything is OK, so what is the trick? How we can get robust estimates for degPvals=12? @giofantuzzi could you comment, please?
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