AGquad: a Matlab package for 1D and 2D anti-Gauss type rules

Anti-Gauss formulae have attracted a great deal of interest in recent years. There are two main reasons for this. On the one hand, they make it possible to construct new rules, namely averaged or stratified formulae, which are characterized by a higher accuracy and a lower computational cost, compared to formulae with the same number of nodes. On the other hand, they provide numerical estimates of the error of the Gaussian rule for a fixed number of points. This allows one to determine the number of nodes required to achieve a prescribed accuracy in the integral approximation. In this paper, we provide a Matlab toolbox, including an interactive graphical user interface (GUI), to assist the interested researcher in performing the computation of 1D integrals using anti-Gauss formulae and one of their generalization. When coupled to Gauss rules, they lead to averaged and generalized averaged scheme, respectively. We also consider the computation of 2D integrals by Gauss/anti-Gauss rules.

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Publication Details

Journal
UNICA IRIS Institutional Research Information System (University of Cagliari)
Published
2025-04-28
DOI
https://doi.org/10.13135/3103-1935/11939
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00

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article

AGquad: a Matlab package for 1D and 2D anti-Gauss type rules

UNICA IRIS Institutional Research Information System (University of Cagliari)
Geochemistry and Geologic Mapping
article

AGquad: a Matlab package for 1D and 2D anti-Gauss type rules

article en

Abstract

Anti-Gauss formulae have attracted a great deal of interest in recent years. There are two main reasons for this. On the one hand, they make it possible to construct new rules, namely averaged or stratified formulae, which are characterized by a higher accuracy and a lower computational cost, compared to formulae with the same number of nodes. On the other hand, they provide numerical estimates of the error of the Gaussian rule for a fixed number of points. This allows one to determine the number of nodes required to achieve a prescribed accuracy in the integral approximation. In this paper, we provide a Matlab toolbox, including an interactive graphical user interface (GUI), to assist the interested researcher in performing the computation of 1D integrals using anti-Gauss formulae and one of their generalization. When coupled to Gauss rules, they lead to averaged and generalized averaged scheme, respectively. We also consider the computation of 2D integrals by Gauss/anti-Gauss rules.

UNICA IRIS Institutional Research Information System (University of Cagliari)
University of Cagliari (IT)
Istituto Nazionale di Alta Matematica "Francesco Severi", European Commission, Gruppo Nazionale per il Calcolo Scientifico
Openalex Percentile: Top 37%
Geochemistry and Geologic Mapping
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