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The S_U1™ Equation A human-built equation for predicting order in chaos - Volume VI
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- FormatePub
- ISBN8230981930
- EAN9798230981930
- Date de parution22/05/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIndependently Published
Résumé
Volume VI continues the development of the S_U1T framework, a universal equation designed to model complex, chaotic systems across disciplines. Building on prior volumes, this work extends S_U1T into eight new domains, including cancer, economics, dark matter, Alzheimer's, misinformation, and cosmic inflation-achieving predictive correlations between 95.6-96.2% under real-world conditions. The enhanced AC_Toy equation is validated using 2025 data, ensemble simulations, and feedback mechanisms, with further application to interplanetary timekeeping (The Cosmic Calendar).
The volume includes mathematical appendices, domain-specific simulations in Python, a glossary, and proposed dynamic variables for future expansion (Volume VII). Authored independently by N. Sahra, this volume is intended for interdisciplinary researchers, AI scientists, cosmologists, medical analysts, and systems theorists.
The volume includes mathematical appendices, domain-specific simulations in Python, a glossary, and proposed dynamic variables for future expansion (Volume VII). Authored independently by N. Sahra, this volume is intended for interdisciplinary researchers, AI scientists, cosmologists, medical analysts, and systems theorists.
Volume VI continues the development of the S_U1T framework, a universal equation designed to model complex, chaotic systems across disciplines. Building on prior volumes, this work extends S_U1T into eight new domains, including cancer, economics, dark matter, Alzheimer's, misinformation, and cosmic inflation-achieving predictive correlations between 95.6-96.2% under real-world conditions. The enhanced AC_Toy equation is validated using 2025 data, ensemble simulations, and feedback mechanisms, with further application to interplanetary timekeeping (The Cosmic Calendar).
The volume includes mathematical appendices, domain-specific simulations in Python, a glossary, and proposed dynamic variables for future expansion (Volume VII). Authored independently by N. Sahra, this volume is intended for interdisciplinary researchers, AI scientists, cosmologists, medical analysts, and systems theorists.
The volume includes mathematical appendices, domain-specific simulations in Python, a glossary, and proposed dynamic variables for future expansion (Volume VII). Authored independently by N. Sahra, this volume is intended for interdisciplinary researchers, AI scientists, cosmologists, medical analysts, and systems theorists.
