You want to minimize a function with dual_annealing but also want to limit the maximum number of iterations to 1000. Which parameter should you set?

hard📝 Application Q9 of 15

SciPy - Advanced Optimization

You want to minimize a function with dual_annealing but also want to limit the maximum number of iterations to 1000. Which parameter should you set?

Amaxfev

Bmaxfun_evals

Cmaxfun

Dmaxiter

Step-by-Step Solution

Solution:

Step 1: Identify parameter controlling iterations
In dual_annealing, the parameter maxiter limits the maximum number of iterations.
Step 2: Check other options
maxfun controls function evaluations in some other optimizers, maxfev and maxfun_evals are not valid parameters for dual_annealing.
Final Answer:
maxiter -> Option D
Quick Check:
Iteration limit = maxiter [OK]

Quick Trick: Use maxiter to limit iterations [OK]

Common Mistakes:

Confusing maxiter with maxfun
Using invalid parameter names
Assuming maxfev exists

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You want to minimize a function with dual_annealing but also want to limit the maximum number of iterations to 1000. Which parameter should you set?

Step 1: Identify parameter controlling iterations

Step 2: Check other options

Final Answer:

Quick Check:

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