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Z Framework — Home
Mission
- Demonstrate the predictive power of the Z Framework: a unified mathematical and empirical model bridging physical and discrete domains.
Core equation
- Z = A(B / c)
- A: frame-dependent amplitude / transformation
- B: rate or shift quantity
- c: universal invariant (e.g., speed of light, or e² in discrete regimes)
Quick links
- Getting Started
- Core Concepts
- Axioms and Mathematical Foundations
- Implementations and Code
- Datasets and Resources
- Validation and Empirical Evidence
- Contributing
Project status
- Key files: axioms.py, domain.py, Z5D_Reference_Impl-2.ipynb
- License: (add repository license here)
- Maintainers: zfifteen
Short note
- Use the sidebar to navigate. Pages follow the Z Framework Guidelines: empirical validation first, reproducible tests with mpmath (precision < 1e-16), and clear labelling of unverified hypotheses.