Based on the Heron-adapted algorithm, what is the complexity class of theperfect square problem? Show your reasoning.
Question
Based on the Heron-adapted algorithm, what is the complexity class of the perfect square problem? Show your reasoning.
Solution
The Heron-adapted algorithm is used to determine whether a given number is a perfect square. The algorithm works by iteratively improving the estimate of the square root of a number until the estimate is good enough.
The complexity of this algorithm is O(log n). Here's why:
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The algorithm starts with an initial guess for the square root. This guess is typically the number itself or some part of it.
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In each iteration, the algorithm improves the guess by averaging the guess and the quotient of the number and the guess.
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The number of iterations required to get a good enough estimate is proportional to the number of digits in the number. This is because each iteration roughly doubles the number of correct digits in the estimate.
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Therefore, the time complexity of the algorithm is proportional to the logarithm of the number, which is O(log n).
So, based on the Heron-adapted algorithm, the complexity class of the perfect square problem is O(log n).
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