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Which argument in scipy.optimize.least_squares specifies the function that computes residuals?

easy📝 Conceptual Q2 of 15
SciPy - Advanced Optimization
Which argument in scipy.optimize.least_squares specifies the function that computes residuals?
Ajac
Bx0
Cfun
Dbounds
Step-by-Step Solution
Solution:
  1. Step 1: Identify the role of each argument

    fun is the function that returns residuals; jac is the Jacobian; x0 is the initial guess; bounds restricts parameter values.
  2. Step 2: Confirm which argument computes residuals

    The residual function is passed as fun to least_squares.
  3. Final Answer:

    fun -> Option C
  4. Quick Check:

    Residual function argument = fun = B [OK]
Quick Trick: Residual function is always passed as 'fun' in least_squares [OK]
Common Mistakes:
  • Confusing 'jac' with residual function
  • Using 'x0' as function argument
  • Mistaking 'bounds' for residual function

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