I am trying to add a constraint to a very complicated minimization problem I have but I am not sure how to implement it, even after reading the docs.
I have a simple example that if answered will help me with my original problem. Here is the code:
from iminuit import Minuit
return (x-1.)**2 +(y-2*x)**2 + (z-3.*x)**2 -1.
m=Minuit(f, x=.5, error_x=0.2, limit_x=(0.,1.), y=0.,limit_y=
Answer to my own question is don't bother using minuit. Use scipy.optimize with method SLSQP. It has equality and inequality constraint methods built in.