Hi guys!
I want to use NLopt for my nonlinear optimization problem. I test the
sample code in tutorial page enter link description here
<http://ab-initio.mit.edu/wiki/index.php/NLopt_Tutorial>, C++ example. It
works good. But the function I want to minimize should a return a vector.
Which is, in the tutorial page it has
double minf;
nlopt::result result = opt.optimize(x, minf);
printf("found minimum at f(%g,%g) = %g ", x[0],x[1],minf);
I hope minf is a vector, so I change it to one dimension vector for just
test.
std::vector<double> minf(1);
nlopt::result result = opt.optimize(x, minf);
printf("found minimum at f(%g,%g) = %g ", x[0],x[1],minf[0]);
Then it has errorsnltest2.cpp:44:44: error: no matching function for call
to ‘nlopt::opt::optimize(std::vector<double>&, std::vector<double>&)’
Is there any way I can let it recturn an vector? What's more(if you cannot
answer this that's OK.) I hope to use armadillo matrix library. The better
if I could (I have included the h file needed)
mat minf(1,1);
nlopt::result result = opt.optimize(x, minf);
printf("found minimum at f(%g,%g) = %g ", x[0],x[1],minf(1,1));
This causes errors of course...
Thanks for your answer!!
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