Scipy Minimize: How To Pass Args To Both The Objective And The Constraint

My MWE is as follows def obj(e, p): S = f(e) + g(p) return S I would like to minimize this function over only e and pass p as an argument to the function. However, I also

Solution 1:

Okay, I figured that it's a mix of syntax errors on my part and how arguments should be passed. For those who may have the same question, I will post an answer here.

The objective function is obj(e, p). We only want to minimize e so we create a tuple of the other arguments arguments = (0.5,). That is, a specific value of p=0.5 is set. Next define the constraint function

defprob_bound(e, p):
    return -e - p + 1

Now one writes the constraints dictionary to be

cons = ({'type': 'ineq',
       'fun': prob_bound,
       'args': arguments       
       })

And finally, one calls the minimizer

result = minimize(obj, initial_guess, method = 'SLSQP', args = arguments, constraints = cons)