Heurística computacional bi-factorial para la densidad y distribución de números primos.
Project description
Métrica de la Escalera (Motor JG-2026)
Un modelo predictivo bi-factorial diseñado por Jesús Guedes para refinar la aproximación del Logaritmo Integral (Li(n)) en la distribución de números primos.
Este motor utiliza constantes efectivas de ajuste local (kappa = 1.042) y factores de amortiguación (beta = 1.5) combinados con la inversión de Möbius, ofreciendo una herramienta computacional robusta para estimar densidades en altos rangos.
Instalación
pip install metrica-escalera
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