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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file metrica_escalera-1.0.0.tar.gz.
File metadata
- Download URL: metrica_escalera-1.0.0.tar.gz
- Upload date:
- Size: 2.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a937deedb66dd1c489a53cb17fe2a125d3e6ebcd2e90f5282f68f13b48062038
|
|
| MD5 |
39548ea3ac71b27e3de3bc5f874d33ba
|
|
| BLAKE2b-256 |
b34475cb6138d9d444d9558122211680093d4df43998efb927d1d3a25a25beb4
|
File details
Details for the file metrica_escalera-1.0.0-py3-none-any.whl.
File metadata
- Download URL: metrica_escalera-1.0.0-py3-none-any.whl
- Upload date:
- Size: 3.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d76f70e19bfbf3530028dbc886e17e6cd31ba175be920dce6b94bd732774e0e0
|
|
| MD5 |
f9f7ef5f4d524347235c89c2ec71b486
|
|
| BLAKE2b-256 |
71e829565308f215a0ecd8b434b6083468ddba6ba65d3938853632648a2f7869
|
