If each step of the Euclidean Algorithm reduces the remainder by at least 50%, how can I calculate the max number of steps it will take to find the greatest common denominator? If the initial remainder of two numbers is 1000, would log2(m) give me this value? If r ≤ m/2 for each step of the Euclidean Algorithm, could I just find m assuming that r = 1000 in the max case and substitute m in the previous logarithm to find the max number of steps?
2026-03-26 13:02:18.1774530138
How can I find the max number of times the Euclidean Algorithm must be executed for a given starting remainder?
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A brute force run shows that the maximum number of iterations is indicated by the ordinality of the first Fibonacci number greater than the larger number of the pair subjected to Euclid's Algorithm. For example, for the numbers $(1000,x)$, the next Fibonacci number is $1597$ and it is the $15^{th}$ or $16^{th}$ Fibonacci number depending on where you begin the series, so the maximum number of iterations is $15$ or $16$ assuming $x$ is smaller than $1000$.
(Note: If the larger number is entered second, the iteration count is one higher.) Here is a sample run in which the "count" and GCD numbers are displayed only when the current iteration count for a pair is greater than the previous "largest count". It took $\approx 3.2$ hours of CPU time using interpretive BASIC. I'm sure it would take less time with math-specific languages.
BASIC is considered unsophisticated these days but it is free and easier to learn that PYTHON and others. Here is the program that ran the test above.