Application of Phi (<italic>Φ</italic>), the Golden Ratio, in Computing: A Systematic Review
The Golden Ratio (<inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula>) has intrigued researchers for centuries due to its widespread presence in both nature and science. This article systematically examines <inline-formula> <tex...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10813171/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The Golden Ratio (<inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula>) has intrigued researchers for centuries due to its widespread presence in both nature and science. This article systematically examines <inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula>’s diverse applications in computing, focusing on its role in enhancing visual appeal, optimizing algorithms, system design, and influencing fields such as biometrics, machine intelligence, and engineering. Through a systematic review of recent studies, this work aims to identify how <inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula> can improve computational efficiency across various computing domains. The methodology involves a comprehensive analysis of cutting-edge research sourced from 12 reputable digital platforms to explore <inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula>’s potential. This study highlights the versatility of Golden Ratio, as its applications and relationships were found to account for 51% and 49%, respectively, across a total of 51 selected studies from 27 countries spanning six continents. The review also categorizes findings by their specific applications and contexts, providing valuable insights into <inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula>’s impact on mathematics, cryptography, search algorithms, machine learning, artificial intelligence, photonics, natural sciences, system design, power engineering, robotics, and practical human life. This study opens promising avenues for future research on the applications of <inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula> in diverse fields of science, engineering, and computing. |
|---|---|
| ISSN: | 2169-3536 |