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Both the **iterative** and **recursive** versions of the algorithm exhibit the same logarithmic time complexity, but their performance can vary slightly depending on the programming language and the compiler. The iterative version is often favored for its efficiency in terms of memory usage, as it avoids the overhead of function calls inherent in the recursive approach. The **iterative version** uses a loop structure that updates the values of *a* and *b* until the GCD is found. Each iteration performs a division and a remainder calculation, which reduces the values of *a* and *b*. The iterative approach directly manipulates the variables, making it more memory-efficient. The recursive approach, on the other hand, calls the function itself with updated values until the base case is met. The recursive approach can be elegant and easy to read, but it can also consume more memory due to the overhead of function calls. The function calls are stacked until the base case is hit. This can be less efficient than the iterative method, especially for very large numbers. However, modern compilers often optimize recursive functions, minimizing the performance gap between the two implementations. The choice between iterative and recursive versions often comes down to a trade-off between readability and memory efficiency.
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