Efficient Computation of Collatz Sequence Stopping Times: A Novel Algorithmic Approach
The Collatz conjecture, which posits that any positive integer will eventually reach 1 through a specific iterative process, is a classic unsolved problem in mathematics. This research focuses on designing an efficient algorithm to compute the stopping time of numbers in the Collatz sequence, achiev...
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| Published in: | IEEE access Vol. 13; pp. 41210 - 41220 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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2025
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| ISSN: | 2169-3536, 2169-3536 |
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| Abstract | The Collatz conjecture, which posits that any positive integer will eventually reach 1 through a specific iterative process, is a classic unsolved problem in mathematics. This research focuses on designing an efficient algorithm to compute the stopping time of numbers in the Collatz sequence, achieving significant computational improvements. By leveraging structural patterns in the Collatz tree, the proposed algorithm minimizes redundant operations and optimizes computational steps. Unlike prior methods, it efficiently handles extremely large numbers without requiring advanced techniques such as memoization or parallelization. Experimental evaluations confirm computational efficiency improvements of approximately 28% over state-of-the-art methods. These findings underscore the algorithm's scalability and robustness, providing a foundation for future large-scale verification of the conjecture and potential applications in computational mathematics. |
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| AbstractList | The Collatz conjecture, which posits that any positive integer will eventually reach 1 through a specific iterative process, is a classic unsolved problem in mathematics. This research focuses on designing an efficient algorithm to compute the stopping time of numbers in the Collatz sequence, achieving significant computational improvements. By leveraging structural patterns in the Collatz tree, the proposed algorithm minimizes redundant operations and optimizes computational steps. Unlike prior methods, it efficiently handles extremely large numbers without requiring advanced techniques such as memoization or parallelization. Experimental evaluations confirm computational efficiency improvements of approximately 28% over state-of-the-art methods. These findings underscore the algorithm's scalability and robustness, providing a foundation for future large-scale verification of the conjecture and potential applications in computational mathematics. |
| Author | Getachew, Eyob Solomon Assefa, Beakal Gizachew |
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| References | Abascal (ref4) 2024 ref13 ref12 Boulkaboul (ref7) 2022 ref15 Ebnenasir (ref6) 2024 ref14 ref20 ref11 ref10 ref2 ref1 Venkatesulu (ref3) 2020; 2 ref17 ref16 ref19 ref18 Inselmann (ref5) 2024 ref8 ref9 (ref21) 2024 |
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| SubjectTerms | Algorithm optimization and large-scale verification Approximation algorithms bitwise operations Collatz conjecture Collatz tree Complexity theory computational complexity Computational efficiency computational mathematics Encryption high-performance algorithms logarithmic complexity memoization Optimization parallel computing Probabilistic logic sequence analysis stopping time Testing Time complexity Visualization Watermarking |
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| Title | Efficient Computation of Collatz Sequence Stopping Times: A Novel Algorithmic Approach |
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