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Numerical Solution for the Extrapolation Problem of Analytic Functions

In this work, a numerical solution for the extrapolation problem of a discrete set of n values of an unknown analytic function is developed. The proposed method is based on a novel numerical scheme for the rapid calculation of higher order derivatives, exhibiting high accuracy, with error magnitude...

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Detalles Bibliográficos
Autor principal: Bakas, Nikolaos P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750076/
https://www.ncbi.nlm.nih.gov/pubmed/31549060
http://dx.doi.org/10.34133/2019/3903187
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author Bakas, Nikolaos P.
author_facet Bakas, Nikolaos P.
author_sort Bakas, Nikolaos P.
collection PubMed
description In this work, a numerical solution for the extrapolation problem of a discrete set of n values of an unknown analytic function is developed. The proposed method is based on a novel numerical scheme for the rapid calculation of higher order derivatives, exhibiting high accuracy, with error magnitude of O(10(−100)) or less. A variety of integrated radial basis functions are utilized for the solution, as well as variable precision arithmetic for the calculations. Multiple alterations in the function's direction, with no curvature or periodicity information specified, are efficiently foreseen. Interestingly, the proposed procedure can be extended in multiple dimensions. The attained extrapolation spans are greater than two times the given domain length. The significance of the approximation errors is comprehensively analyzed and reported, for 5832 test cases.
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spelling pubmed-67500762019-09-23 Numerical Solution for the Extrapolation Problem of Analytic Functions Bakas, Nikolaos P. Research (Wash D C) Research Article In this work, a numerical solution for the extrapolation problem of a discrete set of n values of an unknown analytic function is developed. The proposed method is based on a novel numerical scheme for the rapid calculation of higher order derivatives, exhibiting high accuracy, with error magnitude of O(10(−100)) or less. A variety of integrated radial basis functions are utilized for the solution, as well as variable precision arithmetic for the calculations. Multiple alterations in the function's direction, with no curvature or periodicity information specified, are efficiently foreseen. Interestingly, the proposed procedure can be extended in multiple dimensions. The attained extrapolation spans are greater than two times the given domain length. The significance of the approximation errors is comprehensively analyzed and reported, for 5832 test cases. AAAS 2019-05-28 /pmc/articles/PMC6750076/ /pubmed/31549060 http://dx.doi.org/10.34133/2019/3903187 Text en Copyright © 2019 Nikolaos P. Bakas. https://creativecommons.org/licenses/by/4.0/ Exclusive licensee Science and Technology Review Publishing House. Distributed under a Creative Commons Attribution License (CC BY 4.0).
spellingShingle Research Article
Bakas, Nikolaos P.
Numerical Solution for the Extrapolation Problem of Analytic Functions
title Numerical Solution for the Extrapolation Problem of Analytic Functions
title_full Numerical Solution for the Extrapolation Problem of Analytic Functions
title_fullStr Numerical Solution for the Extrapolation Problem of Analytic Functions
title_full_unstemmed Numerical Solution for the Extrapolation Problem of Analytic Functions
title_short Numerical Solution for the Extrapolation Problem of Analytic Functions
title_sort numerical solution for the extrapolation problem of analytic functions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750076/
https://www.ncbi.nlm.nih.gov/pubmed/31549060
http://dx.doi.org/10.34133/2019/3903187
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