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A Verified ODE Solver and the Lorenz Attractor
A rigorous numerical algorithm, formally verified with Isabelle/HOL, is used to certify the computations that Tucker used to prove chaos for the Lorenz attractor. The verification is based on a formalization of a diverse variety of mathematics and algorithms. Formalized mathematics include ordinary...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044317/ https://www.ncbi.nlm.nih.gov/pubmed/30069071 http://dx.doi.org/10.1007/s10817-017-9448-y |
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author | Immler, Fabian |
author_facet | Immler, Fabian |
author_sort | Immler, Fabian |
collection | PubMed |
description | A rigorous numerical algorithm, formally verified with Isabelle/HOL, is used to certify the computations that Tucker used to prove chaos for the Lorenz attractor. The verification is based on a formalization of a diverse variety of mathematics and algorithms. Formalized mathematics include ordinary differential equations and Poincaré maps. Algorithms include low level approximation schemes based on Runge–Kutta methods and affine arithmetic. On a high level, reachability analysis is guided by static hybridization and adaptive step-size control and splitting. The algorithms are systematically refined towards an implementation that can be executed on Tucker’s original input data. |
format | Online Article Text |
id | pubmed-6044317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-60443172018-07-30 A Verified ODE Solver and the Lorenz Attractor Immler, Fabian J Autom Reason Article A rigorous numerical algorithm, formally verified with Isabelle/HOL, is used to certify the computations that Tucker used to prove chaos for the Lorenz attractor. The verification is based on a formalization of a diverse variety of mathematics and algorithms. Formalized mathematics include ordinary differential equations and Poincaré maps. Algorithms include low level approximation schemes based on Runge–Kutta methods and affine arithmetic. On a high level, reachability analysis is guided by static hybridization and adaptive step-size control and splitting. The algorithms are systematically refined towards an implementation that can be executed on Tucker’s original input data. Springer Netherlands 2018-01-22 2018 /pmc/articles/PMC6044317/ /pubmed/30069071 http://dx.doi.org/10.1007/s10817-017-9448-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Immler, Fabian A Verified ODE Solver and the Lorenz Attractor |
title | A Verified ODE Solver and the Lorenz Attractor |
title_full | A Verified ODE Solver and the Lorenz Attractor |
title_fullStr | A Verified ODE Solver and the Lorenz Attractor |
title_full_unstemmed | A Verified ODE Solver and the Lorenz Attractor |
title_short | A Verified ODE Solver and the Lorenz Attractor |
title_sort | verified ode solver and the lorenz attractor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044317/ https://www.ncbi.nlm.nih.gov/pubmed/30069071 http://dx.doi.org/10.1007/s10817-017-9448-y |
work_keys_str_mv | AT immlerfabian averifiedodesolverandthelorenzattractor AT immlerfabian verifiedodesolverandthelorenzattractor |