Solution:Step 1: Understand callback usageThe callback appends the current parameter vector at each iteration.Step 2: Determine what history length representsHistory length equals the number of iterations performed.Final Answer:Number of iterations performed during optimization -> Option BQuick Chec

[Solved] Consider this code:from scipy.optimize import minimize history = [] def cb(x): history.append(x.copy()) res = minimize(lambda x:... | SciPy

SciPy - Advanced Optimization

Consider this code:

from scipy.optimize import minimize

history = []
def cb(x):
    history.append(x.copy())

res = minimize(lambda x: (x[0]-1)**2 + (x[1]+2)**2, [0,0], callback=cb)
print(len(history))

What will be printed?

AZero, because callback is not called

BNumber of iterations performed during optimization

COne, because callback is called only once

DLength of initial guess vector

Step-by-Step Solution

Solution:

Step 1: Understand callback usage
The callback appends the current parameter vector at each iteration.
Step 2: Determine what history length represents
History length equals the number of iterations performed.
Final Answer:
Number of iterations performed during optimization -> Option B
Quick Check:
History length = Iterations count [OK]

Quick Trick: Callback called each iteration; history length = iteration count [OK]

Common Mistakes:

Assuming callback is never called
Thinking callback called only once
Confusing history length with vector size

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More SciPy Quizzes

Consider this code:

Step 1: Understand callback usage

Step 2: Determine what history length represents

Final Answer:

Quick Check:

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