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When I was trying to run the basic example from the README.md, I ran into the following error:
>> result = solver.solve(problem);
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Jacobian sparsity: 26254 nonzero elements out of 9156808 (0.287%).
Error using ipopt (line 274)
mexIPOPT do not support gcc < gcc6
Error in IPOPT/solve (line 161)
[X, info] = ipopt(X0,funcs,options);
^^^^^^^^^^^^^^^^^^^^^^^I have checked the current version of gcc:
$ gcc --version
gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Copyright (C) 2021 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.Probably the error comes from the Add-On mexIPOPT, but how would I approach this?
BR
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