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