❔ Question 19: #scipy
Which of the following methods are commonly used for derivative-based optimization in SciPy?

Option 1: fmin_bfgs

Option 2: minimize with method='BFGS'

Option 3: minimize with method='Newton-CG'

Option 4: fmin

✅ Correct Response: 1, 2, 3

Explanation: Methods like fmin_bfgs and minimize with method='BFGS' or 'Newton-CG' are commonly used for derivative-based optimization in SciPy. fmin, on the other hand, implements the Nelder-Mead algorithm, which is a derivative-free method

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