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0108860bff
Create comprehensive research-lab pack structure with mathematical and quantum computing modules from blackroad-prism-console: Math Modules: - hilbert_core.py: Hilbert space symbolic reasoning - collatz/: Distributed Collatz conjecture verification - linmath/: Linear mathematics C library - lucidia_math_forge/: Symbolic proof engine - lucidia_math_lab/: Experimental mathematics Quantum Modules: - lucidia_quantum/: Quantum core - quantum_engine/: Circuit simulation Experiments: - br_math/: Gödel gap, quantum experiments Includes pack.yaml manifest and comprehensive README. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
26 lines
799 B
Python
26 lines
799 B
Python
"""Trust–Resilience ODE controller."""
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from __future__ import annotations
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import numpy as np
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def tro_step(t: float, state: np.ndarray, params: np.ndarray) -> np.ndarray:
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"""One step of the trust–resilience dynamics.
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Parameters
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----------
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t: time (unused but included for ODE solver compatibility)
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state: array ``[T, R, S, E, Jc, K]`` representing trust, resilience,
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entropy, error, care current and kindness.
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params: array ``[alpha, beta, gamma, eta, mu, nu, xi]`` of coefficients.
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"""
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T, R, S, E, Jc, K = state
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alpha, beta, gamma, eta, mu, nu, xi = params
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dT = alpha * K + gamma * Jc - beta * E - eta * S
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dR = mu * Jc - nu * E - xi * np.gradient([S, S])[0] # crude \dot S estimate
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return np.array([dT, dR])
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__all__ = ["tro_step"]
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