[Solved] Examine the following code:from scipy.optimize import dual_annealing def f(x): return x[0] + x[1] result = dual_annealing(f, bounds=[(0, 1)]) print(result.fun)What is the issue here? | SciPy

SciPy - Advanced Optimization

Examine the following code:

from scipy.optimize import dual_annealing

def f(x):
    return x[0] + x[1]

result = dual_annealing(f, bounds=[(0, 1)])
print(result.fun)

What is the issue here?

AThe function is not defined properly

BBounds length does not match the function input dimension

Cdual_annealing requires integer bounds only

DMissing import statement for numpy

Step-by-Step Solution

Solution:

Step 1: Analyze function input
The function f expects a 2-dimensional input x[0] and x[1].
Step 2: Check bounds
The bounds provided are for only one variable: [(0,1)].
Step 3: Identify mismatch
Number of bounds must match the dimension of the input vector.
Final Answer:
Bounds length does not match the function input dimension -> Option B
Quick Check:
Bounds length vs input dimension [OK]

Quick Trick: Bounds must match function input dimension [OK]

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