[Solved] Identify the error in this code using SciPy and NumPy: import numpy as np from scipy import optimize x = np.array([1, 2, 3]) result = optimize.minimize(np.sum, x) print(result.fun) | SciPy

SciPy - Basics and Scientific Computing

Identify the error in this code using SciPy and NumPy:

import numpy as np
from scipy import optimize

x = np.array([1, 2, 3])
result = optimize.minimize(np.sum, x)
print(result.fun)

Anp.sum is not a valid function for minimize; it needs a function of one variable.

Bnp.array should be a list, not an array.

Coptimize.minimize requires two arguments, but only one is given.

DNo error; code runs fine.

Step-by-Step Solution

Solution:

Step 1: Verify imports and variable definition
Imports are correct; x is a valid NumPy array.
Step 2: Analyze optimize.minimize call
np.sum is not a valid objective function for minimize because it does not take a single vector argument and return a scalar in the expected way. It sums all elements immediately, so it does not behave as a function of a variable vector for optimization.
Final Answer:
np.sum is not a valid function for minimize; it needs a function of one variable. -> Option A
Quick Check:
Objective function must accept a vector input and return scalar [OK]

Quick Trick: Objective function for minimize must accept vector input [OK]

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