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Question about examples #4
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Hi @parfenyev, Thanks for your message. Unfortunately I cannot replicate your issue: on my machine, the example with default parameters returns I suggest checking if you installed sdpa-gmp correctly. Does the solver run correctly if you call it directly from the command line? If not, you should contact the SDPA-GMP developers directly, as mpYALMIP is meant to simply write the solver input files and read them back into MATLAB. I hope this helps, |
Thank you for the answer, @giofantuzzi. I can run the solver from the command line. Also, when I have updated gmp from Which parameters ( |
Hi @parfenyev, Here is my setup: The parameters file on my machine reads
Hope this helps! |
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:U=5.82
, but returns a codepdINF
, which means that the solution is expected to be infeasible. How can we trust such a result?degPvals=10
I 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-20
andopts.sdpa_gmp.precision = 150
then the result becomes stable, but the return code is stillpdINF
.degPvals=12
,opts.sdpa_gmp.epsilonDash = 1.0e-20
,opts.sdpa_gmp.precision = 150
the 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 fordegPvals=12
? @giofantuzzi could you comment, please?The text was updated successfully, but these errors were encountered: