In this article, an efficient algorithm is implemented in Mathematica for the exact calculation of Generalized Harmonic Numbers (GHN). This is achieved through the combination of two methods. The first method is binary division, where terms formed by the powers of the reciprocals of odd and even numbers are summed separately. The second method is a recursive function that iterates the same sequence of operations until all calculations are completed. Within each cycle, the algorithm processes half of the remaining terms, a feature that significantly improves its efficiency. The computer code is notably concise, consisting of only 11 lines, depending on how they are counted. A remarkable event occurs when the argument is a power of two, as the code condenses into a single line. The most distinctive feature of this algorithm lies in the fact that to calculate the GHN for an argument ‘n’, it requires only the terms formed by the reciprocals of odd numbers. This provides a clear advantage over algorithms that use the complete numerical sequence of the reciprocals of all numbers from 1 to n. An intriguing aspect of this algorithm, is the unexpected discontinuity in the powers of two within the denominators of the common factors across each layer. Contrary to expected, these do not form a continuous sequence from 0 to number of layers − 1.
| Published in | Pure and Applied Mathematics Journal (Volume 13, Issue 1) |
| DOI | 10.11648/j.pamj.20241301.12 |
| Page(s) | 9-16 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Generalized Harmonic Numbers, Recursive Function, Binary Splitting
| [1] | Dunham, W. Journey through Genius: Great Theorems of Mathematics. New York, NY: John Wiley & Sons, Inc; 1990, 300 pp. |
| [2] | Burić, T., Elezović, N. Approximants of the Euler– Mascheroni constant and harmonic numbers. Applied Mathematics and Computation. 2013, 222(2013). URL |
| [3] | Bil, R., Laue, H. Investigations About the Euler– Mascheroni Constant and Harmonic Numbers. Analysis. 2016, 36(4). URL |
| [4] | Arakawa, T., Ibukiyama, T., Kaneko, M. Bernoulli Numbers and Zeta Functions. New York, NY: Springer-Verlag; 2014, 274 pp. URL |
| [5] | Debnath, L. A. A Brief History of the Most Remarkable Numbers e, i and γ in Mathematical Sciences with Applications. International Journal of Applied and Computational Mathematics. 2015, 1(2015). URL |
| [6] | Dence, T. P., Dence, J. B. A Survey of Euler’s Constant. Mathematics Magazine. 2009, 82(4). URL |
| [7] | Havil, J. Gamma: Exploring Euler’s Constant. Princeton, New Jersey: Princeton University Press; 2003, 300 pp. |
| [8] | Mariconda C., Tonolo A. Discrete Calculus: Methods for Counting. Cham, Switzerland: Springer International Publishing; 2016, 659 pp. URL |
| [9] |
Sondow, J., Weisstein, E. W. Harmonic Number. Available from:
https://mathworld.wolfram.com/-url-HarmonicNumber.html. [Accessed 4 March 2024]. |
| [10] | Debnath, L. A. A Brief History of the Most Remarkable Numbers π, g and δ in Mathematical Sciences with Applications. International Journal of Mathematical Education in Science and Technology. 2015, 46(6). URL |
| [11] |
Costabile, F., Dell’Accio, F., Gualtieri, M. I. A New Approach to Bernoulli Polynomials. Rendiconti di Matematica . 2006, 26(2006). URL
https://www1.mat.uniroma1.it/ricerca/rendiconti/-url-ARCHIVIO/2006(1)/1-12.pdf |
| [12] | Conway, J. H., Guy, R. K. The Book of Numbers. New York, NY: Springer-Verlag; 1996, 310 pp. URL |
| [13] | Villarino, M-B. Ramanujan’s Harmonic Number Expansion Into Negative Powers of a Triangular Number. Journal of Inequalities in Pure and Applied Mathematics. 2008, 9(2008). URL |
| [14] | Johansson F. How (not) to compute harmonic numbers. Available from: |
| [15] | Choi, J., Chen, C. P. Certain Relationships Among Polygamma Functions, Riemann Zeta Function and Generalized Zeta Function. Journal of Inequalities and Applications. 2013, 75(2013). URL |
APA Style
Palacios-Vélez, O. L., Pedraza-Oropeza, F. J. A. (2024). Maximizing Efficiency in the Computation of Generalized Harmonic Numbers Through Recursive Binary Splitting. Pure and Applied Mathematics Journal, 13(1), 9-16. https://doi.org/10.11648/j.pamj.20241301.12
ACS Style
Palacios-Vélez, O. L.; Pedraza-Oropeza, F. J. A. Maximizing Efficiency in the Computation of Generalized Harmonic Numbers Through Recursive Binary Splitting. Pure Appl. Math. J. 2024, 13(1), 9-16. doi: 10.11648/j.pamj.20241301.12
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Download@article{10.11648/j.pamj.20241301.12,
author = {Oscar Luis Palacios-Vélez and Felipe José Antonio Pedraza-Oropeza},
title = {Maximizing Efficiency in the Computation of Generalized Harmonic Numbers Through Recursive Binary Splitting},
journal = {Pure and Applied Mathematics Journal},
volume = {13},
number = {1},
pages = {9-16},
doi = {10.11648/j.pamj.20241301.12},
url = {https://doi.org/10.11648/j.pamj.20241301.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pamj.20241301.12},
abstract = {In this article, an efficient algorithm is implemented in Mathematica for the exact calculation of Generalized Harmonic Numbers (GHN). This is achieved through the combination of two methods. The first method is binary division, where terms formed by the powers of the reciprocals of odd and even numbers are summed separately. The second method is a recursive function that iterates the same sequence of operations until all calculations are completed. Within each cycle, the algorithm processes half of the remaining terms, a feature that significantly improves its efficiency. The computer code is notably concise, consisting of only 11 lines, depending on how they are counted. A remarkable event occurs when the argument is a power of two, as the code condenses into a single line. The most distinctive feature of this algorithm lies in the fact that to calculate the GHN for an argument ‘n’, it requires only the terms formed by the reciprocals of odd numbers. This provides a clear advantage over algorithms that use the complete numerical sequence of the reciprocals of all numbers from 1 to n. An intriguing aspect of this algorithm, is the unexpected discontinuity in the powers of two within the denominators of the common factors across each layer. Contrary to expected, these do not form a continuous sequence from 0 to number of layers − 1.},
year = {2024}
}
TY - JOUR T1 - Maximizing Efficiency in the Computation of Generalized Harmonic Numbers Through Recursive Binary Splitting AU - Oscar Luis Palacios-Vélez AU - Felipe José Antonio Pedraza-Oropeza Y1 - 2024/04/21 PY - 2024 N1 - https://doi.org/10.11648/j.pamj.20241301.12 DO - 10.11648/j.pamj.20241301.12 T2 - Pure and Applied Mathematics Journal JF - Pure and Applied Mathematics Journal JO - Pure and Applied Mathematics Journal SP - 9 EP - 16 PB - Science Publishing Group SN - 2326-9812 UR - https://doi.org/10.11648/j.pamj.20241301.12 AB - In this article, an efficient algorithm is implemented in Mathematica for the exact calculation of Generalized Harmonic Numbers (GHN). This is achieved through the combination of two methods. The first method is binary division, where terms formed by the powers of the reciprocals of odd and even numbers are summed separately. The second method is a recursive function that iterates the same sequence of operations until all calculations are completed. Within each cycle, the algorithm processes half of the remaining terms, a feature that significantly improves its efficiency. The computer code is notably concise, consisting of only 11 lines, depending on how they are counted. A remarkable event occurs when the argument is a power of two, as the code condenses into a single line. The most distinctive feature of this algorithm lies in the fact that to calculate the GHN for an argument ‘n’, it requires only the terms formed by the reciprocals of odd numbers. This provides a clear advantage over algorithms that use the complete numerical sequence of the reciprocals of all numbers from 1 to n. An intriguing aspect of this algorithm, is the unexpected discontinuity in the powers of two within the denominators of the common factors across each layer. Contrary to expected, these do not form a continuous sequence from 0 to number of layers − 1. VL - 13 IS - 1 ER -
Hidrosciences Department, Graduate College, Montecillo, Mexico
Hidrosciences Department, Graduate College, Montecillo, Mexico
