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

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Autore principale: Lâu, Thiat-uí
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2026
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author Lâu, Thiat-uí
author_facet Lâu, Thiat-uí
contents <p>This repository contains the benchmarking and closed-loop parameter<br>selection code accompanying the paper:</p> <p>"Closed-Loop Parameter Selection and Gaussian-Tail Certification<br>for a Theta–Carlson Formula for π"</p> <p>The script reproduces:</p> <p>• Fixed-m runtime sweeps<br>• Closed-loop parameter selection experiments<br>• Gaussian tail verification plots<br>• Runtime scaling with target precision<br>• Certification against independent high-precision references</p> <p>The implementation uses a theta–elliptic formulation<br>with AGM-based evaluation of the complete elliptic integral<br>for numerical stability at high precision.</p> <p>Author: Lâu Thiat-uí<br>Year: 2026</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18617316
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
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spellingShingle Benchmarking Code for: Closed-Loop Parameter Selection and Gaussian-Tail Certification for a Theta–Carlson Formula for π
Lâu, Thiat-uí
pi computation
theta function
Carlson elliptic integral
AGM
high precision arithmetic
closed-loop parameter selection
Gaussian tail bound
numerical analysis
<p>This repository contains the benchmarking and closed-loop parameter<br>selection code accompanying the paper:</p> <p>"Closed-Loop Parameter Selection and Gaussian-Tail Certification<br>for a Theta–Carlson Formula for π"</p> <p>The script reproduces:</p> <p>• Fixed-m runtime sweeps<br>• Closed-loop parameter selection experiments<br>• Gaussian tail verification plots<br>• Runtime scaling with target precision<br>• Certification against independent high-precision references</p> <p>The implementation uses a theta–elliptic formulation<br>with AGM-based evaluation of the complete elliptic integral<br>for numerical stability at high precision.</p> <p>Author: Lâu Thiat-uí<br>Year: 2026</p>
title Benchmarking Code for: Closed-Loop Parameter Selection and Gaussian-Tail Certification for a Theta–Carlson Formula for π
topic pi computation
theta function
Carlson elliptic integral
AGM
high precision arithmetic
closed-loop parameter selection
Gaussian tail bound
numerical analysis
url https://doi.org/10.5281/zenodo.18617316