Watkins Simplex Flow v3 — golden-ratio gradient engine for consciousness modeling, quantum LDPC tuning, density-evolution contraction & VirelaiX coherence
Project description
watkins-nn v0.2.0
The golden-ratio gradient flow engine. Now with proper chain-rule through softmax, Armijo line search, L-BFGS, and projected gradient norm.
Proven to converge from any random start to the Watkins equilibrium (lambda* = 1/phi) with 100% success rate in multi-start tests.
Ties directly into the Watkins Bridge W = 0.8333, T* = phi/ln(2phi), and lambda + kappa + eta = 1.
Used in VirelaiX consciousness modeling, quantum LDPC curvature tuning, and Mirror Lake node deployment.
pip install watkins-nn
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