On Corrected Quadrature Rules and Optimal Error Bounds

We present an analysis of corrected quadrature rules based on the method of undetermined coefficients and its associated degree of accuracy. The correcting terms use weighted values of the first derivative of the function at the endpoint of the subinterval in such a way that the composite rules cont...

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Main Author: François Dubeau
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2015/461918
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author François Dubeau
author_facet François Dubeau
author_sort François Dubeau
collection DOAJ
description We present an analysis of corrected quadrature rules based on the method of undetermined coefficients and its associated degree of accuracy. The correcting terms use weighted values of the first derivative of the function at the endpoint of the subinterval in such a way that the composite rules contain only two new values. Using Taylor’s expansions and Peano’s kernels we obtain best truncation error bounds which depend on the regularity of the function and the weight parameter. We can minimize the bounds with respect to the parameter, and we can find the best parameter value to increase the order of the error bounds or, equivalently, the degree of accuracy of the rule.
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spelling doaj-art-9c584bf8e4d84b5884d2e020e6e68a992025-02-03T00:59:22ZengWileyAbstract and Applied Analysis1085-33751687-04092015-01-01201510.1155/2015/461918461918On Corrected Quadrature Rules and Optimal Error BoundsFrançois Dubeau0Département de Mathématiques, Faculté des Sciences, Université de Sherbrooke, 2500 boulevard de l’Université, Sherbrooke, QC, J1K 2R1, CanadaWe present an analysis of corrected quadrature rules based on the method of undetermined coefficients and its associated degree of accuracy. The correcting terms use weighted values of the first derivative of the function at the endpoint of the subinterval in such a way that the composite rules contain only two new values. Using Taylor’s expansions and Peano’s kernels we obtain best truncation error bounds which depend on the regularity of the function and the weight parameter. We can minimize the bounds with respect to the parameter, and we can find the best parameter value to increase the order of the error bounds or, equivalently, the degree of accuracy of the rule.http://dx.doi.org/10.1155/2015/461918
spellingShingle François Dubeau
On Corrected Quadrature Rules and Optimal Error Bounds
Abstract and Applied Analysis
title On Corrected Quadrature Rules and Optimal Error Bounds
title_full On Corrected Quadrature Rules and Optimal Error Bounds
title_fullStr On Corrected Quadrature Rules and Optimal Error Bounds
title_full_unstemmed On Corrected Quadrature Rules and Optimal Error Bounds
title_short On Corrected Quadrature Rules and Optimal Error Bounds
title_sort on corrected quadrature rules and optimal error bounds
url http://dx.doi.org/10.1155/2015/461918
work_keys_str_mv AT francoisdubeau oncorrectedquadraturerulesandoptimalerrorbounds