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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

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Anti-Gaussian quadrature formulas
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by Dirk P. Laurie PDF
Math. Comp. 65 (1996), 739-747 Request permission

Abstract:

An anti-Gaussian quadrature formula is an $(n+1)$-point formula of degree $2n-1$ which integrates polynomials of degree up to $2n+1$ with an error equal in magnitude but of opposite sign to that of the $n$-point Gaussian formula. Its intended application is to estimate the error incurred in Gaussian integration by halving the difference between the results obtained from the two formulas. We show that an anti-Gaussian formula has positive weights, and that its nodes are in the integration interval and are interlaced by those of the corresponding Gaussian formula. Similar results for Gaussian formulas with respect to a positive weight are given, except that for some weight functions, at most two of the nodes may be outside the integration interval. The anti-Gaussian formula has only interior nodes in many cases when the Kronrod extension does not, and is as easy to compute as the $(n+1)$-point Gaussian formula.
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Additional Information
  • Dirk P. Laurie
  • Affiliation: Potchefstroom University for Christian Higher Education, P. O. Box 1174, 1900 Vanderbijlpark, South Africa
  • Email: dirk@calvyn.puk.ac.za
  • Received by editor(s): August 23, 1993
  • Received by editor(s) in revised form: June 2, 1994, and November 23, 1994
  • © Copyright 1996 American Mathematical Society
  • Journal: Math. Comp. 65 (1996), 739-747
  • MSC (1991): Primary 65D30; Secondary 33A65
  • DOI: https://doi.org/10.1090/S0025-5718-96-00713-2
  • MathSciNet review: 1333318