Which of the following is the correct way to call scipy.optimize.least_squares with a residual function fun and initial guess x0?

easy📝 Syntax Q12 of 15

SciPy - Curve Fitting and Regression

Which of the following is the correct way to call scipy.optimize.least_squares with a residual function fun and initial guess x0?

Aleast_squares(fun=x0, x0=fun)

Bleast_squares(x0, fun)

Cleast_squares(fun, x0)

Dleast_squares(x0)

Step-by-Step Solution

Solution:

Step 1: Recall the function signature
The correct call is least_squares(fun, x0) where fun is the residual function and x0 is the initial guess.
Step 2: Check each option
least_squares(fun, x0) matches the correct order and parameters. Others have wrong order or missing arguments.
Final Answer:
least_squares(fun, x0) -> Option C
Quick Check:
Function first, initial guess second [OK]

Quick Trick: Function first, initial guess second in least_squares call [OK]

Common Mistakes:

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