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Gaussian Quadrature Formulae for Arbitrary Positive Measures
We present computational methods and subroutines to compute Gaussian quadrature integration formulas for arbitrary positive measures. For expensive integrands that can be factored into well-known forms, Gaussian quadrature schemes allow for efficient evaluation of high-accuracy and -precision numeri...
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Formato: | Texto |
Lenguaje: | English |
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Libertas Academica
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674649/ https://www.ncbi.nlm.nih.gov/pubmed/19455218 |
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author | Fernandes, Andrew D. Atchley, William R. |
author_facet | Fernandes, Andrew D. Atchley, William R. |
author_sort | Fernandes, Andrew D. |
collection | PubMed |
description | We present computational methods and subroutines to compute Gaussian quadrature integration formulas for arbitrary positive measures. For expensive integrands that can be factored into well-known forms, Gaussian quadrature schemes allow for efficient evaluation of high-accuracy and -precision numerical integrals, especially compared to general ad hoc schemes. In addition, for certain well-known density measures (the normal, gamma, log-normal, Student’s t, inverse-gamma, beta, and Fisher’s F) we present exact formulae for computing the respective quadrature scheme. |
format | Text |
id | pubmed-2674649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-26746492009-05-19 Gaussian Quadrature Formulae for Arbitrary Positive Measures Fernandes, Andrew D. Atchley, William R. Evol Bioinform Online Original Research We present computational methods and subroutines to compute Gaussian quadrature integration formulas for arbitrary positive measures. For expensive integrands that can be factored into well-known forms, Gaussian quadrature schemes allow for efficient evaluation of high-accuracy and -precision numerical integrals, especially compared to general ad hoc schemes. In addition, for certain well-known density measures (the normal, gamma, log-normal, Student’s t, inverse-gamma, beta, and Fisher’s F) we present exact formulae for computing the respective quadrature scheme. Libertas Academica 2007-02-15 /pmc/articles/PMC2674649/ /pubmed/19455218 Text en Copyright © 2006 The authors. http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0) |
spellingShingle | Original Research Fernandes, Andrew D. Atchley, William R. Gaussian Quadrature Formulae for Arbitrary Positive Measures |
title | Gaussian Quadrature Formulae for Arbitrary Positive Measures |
title_full | Gaussian Quadrature Formulae for Arbitrary Positive Measures |
title_fullStr | Gaussian Quadrature Formulae for Arbitrary Positive Measures |
title_full_unstemmed | Gaussian Quadrature Formulae for Arbitrary Positive Measures |
title_short | Gaussian Quadrature Formulae for Arbitrary Positive Measures |
title_sort | gaussian quadrature formulae for arbitrary positive measures |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674649/ https://www.ncbi.nlm.nih.gov/pubmed/19455218 |
work_keys_str_mv | AT fernandesandrewd gaussianquadratureformulaeforarbitrarypositivemeasures AT atchleywilliamr gaussianquadratureformulaeforarbitrarypositivemeasures |