Benchmarking Code for: Closed-Loop Parameter Selection and Gaussian-Tail Certification for a Theta–Carlson Formula for π

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Authors: Thiat-uí Lâu
Cited by: 0

Abstract

This repository contains the benchmarking and closed-loop parameterselection code accompanying the paper: "Closed-Loop Parameter Selection and Gaussian-Tail Certificationfor a Theta–Carlson Formula for π" The script reproduces: • Fixed-m runtime sweeps• Closed-loop parameter selection experiments• Gaussian tail verification plots• Runtime scaling with target precision• Certification against independent high-precision references The implementation uses a theta–elliptic formulationwith AGM-based evaluation of the complete elliptic integralfor numerical stability at high precision. Author: Lâu Thiat-uíYear: 2026

Fields of Study & Subjects

Advanced Mathematical Identities Mathematical functions and polynomials Mathematical and Computational Methods

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN