Which of the following is the correct way to define a callback function for scipy.optimize.minimize that prints the current parameter values at each iteration?

easy📝 Syntax Q12 of 15

SciPy - Advanced Optimization

Which of the following is the correct way to define a callback function for scipy.optimize.minimize that prints the current parameter values at each iteration?

Adef callback(): print(f"Current params: {xk}")

Bdef callback(xk): return xk

Cdef callback(xk, fk): print(f"Current params: {fk}")

Ddef callback(xk): print(f"Current params: {xk}")

Step-by-Step Solution

Solution:

Step 1: Check callback function signature for scipy.optimize.minimize
The callback receives one argument: the current parameter vector xk.
Step 2: Verify the function prints current parameters correctly
def callback(xk): print(f"Current params: {xk}") defines callback(xk) and prints xk, which is correct.
Final Answer:
def callback(xk): print(f"Current params: {xk}") -> Option D
Quick Check:
Callback signature = one argument (xk) [OK]

Quick Trick: Callback gets current params as single argument [OK]

Common Mistakes:

Defining callback without parameters
Using wrong parameter names or extra parameters
Returning values instead of printing

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Which of the following is the correct way to define a callback function for scipy.optimize.minimize that prints the current parameter values at each iteration?

Step 1: Check callback function signature for scipy.optimize.minimize

Step 2: Verify the function prints current parameters correctly

Final Answer:

Quick Check:

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