I want to optimize a problem in Python using scipy
.
To achieve this goal:
I define an array of a certain length, but without defining its elements explicitly.
Then, I need to use this array to optimize the problem.
In the last step, I want to print this array as a result.
Here is the simple example:
import numpy as np from scipy.optimize import minimize b0 = [1,3,4,2,5] a = [] # This is the array I want to define. The length of the a should be equal to the b. def objective(b): print(a*b) z=a.b.(-1) return z def constraint(b) return b[0]*b[1]*b[2]*b[3]*b[4] print(objective(b0))
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Answer
Python has following syntax:
array_name = [some_value]*length
it creates an array filled with some_value with provided length
so try:
a = [None]*len(b)
or if you want to not change the type:
a=[0]*len(b)
as an alternative use numPy array