[Solved] Identify the error in this SciPy code snippet:from scipy.optimize import minimize result = minimize(lambda x: sum(x**2), 5) print(result.x) | SciPy

SciPy - Advanced Optimization

Identify the error in this SciPy code snippet:

from scipy.optimize import minimize

result = minimize(lambda x: sum(x**2), 5)
print(result.x)

AThe lambda function should not use sum()

BThe initial guess should be an array, not a scalar

Cminimize cannot optimize functions with powers

Dprint statement syntax is incorrect

Step-by-Step Solution

Solution:

Step 1: Check the function input
The function expects x to be an array because sum(x**2) sums over elements.
Step 2: Initial guess type
The initial guess provided is a scalar (5), which causes a shape mismatch.
Step 3: Correct usage
Initial guess should be an array, e.g., [5] or [5, 5].
Final Answer:
The initial guess should be an array, not a scalar -> Option B
Quick Check:
Initial guess shape must match function input [OK]

Quick Trick: Initial guess must match input shape [OK]

Common Mistakes:

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