Dear Johan
As we have communicated a few times, some years ago, I'm a loyal foot soldier of YALMIP for virtually every problem in my research for almost 10 years and let me thank you again for keeping up this monster alive and in good condition. Lately, after so many unfortunate cases of MATLAB bugs/failures/shortcomings/license/price/impossibledebugging..... I'm leaving MATLAB and porting everything to Python. *Die-hard programmers, please, it's just a choice, replace <python> with your favorite language for now*. I've been trying to find a feasible way to bring the convenience of YALMIP to those environments but I can't really see a way yet. I'm trying to find a way to parse complicated LMI descriptions involving quite a number of sdpvars without going down to the cone description or coefficient matrices. I find
CVXOPT a very valuable tool in that direction and
PICOS comes pretty close though I'm really a beginner for now. I've selfishly picked the semidefinite programming examples but other problems are seemingly supported too.
Now of course, you don't have to share my view or better those of
AbandonMATLAB :) so I'd better ask plainly : is there any hope to see YALMIP leaving MATLAB environment (probably not in the near future obviously) to other open-source frameworks? Also in case you see some possibilities for alternative ways, I'd love to hear your view on this issue.
Thanks in advance.