[Solved] Identify the error in this code snippet using least_squares:from scipy.optimize import least_squares def fun(x): return x**2 - 4 result = least_squares(fun) print(result.x) | SciPy

SciPy - Advanced Optimization

Identify the error in this code snippet using least_squares:

from scipy.optimize import least_squares

def fun(x):
    return x**2 - 4

result = least_squares(fun)
print(result.x)

AMissing initial guess argument in least_squares call

BResidual function returns scalar instead of array

CFunction fun should return x**2 + 4

DPrint statement syntax is incorrect

Step-by-Step Solution

Solution:

Step 1: Check least_squares function call
The call lacks the required initial guess argument x0.
Step 2: Confirm residual function and print are correct
The residual function returns an array-like (scalar is acceptable as 1D array), and print syntax is valid.
Final Answer:
Missing initial guess argument in least_squares call -> Option A
Quick Check:
least_squares needs initial guess [OK]

Quick Trick: Always provide initial guess to least_squares [OK]

Common Mistakes:

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Identify the error in this code snippet using least_squares: