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An introduction to quadrature and other numerical integration techniques
dc.contributor.author | Ausín, M. Concepción | |
dc.date.accessioned | 2007-07-03T15:51:55Z | |
dc.date.available | 2007-07-03T15:51:55Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Aparecerá en Encyclopedia of Statistics in Quality and Reliability | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/865 | |
dc.description.abstract | The objective in numerical integration is the approximation of a definite integral using numerical techniques. There are a large number of numerical integration methods in the literature and this article overviews some of the most common ones, namely, the Newton-Cotes formulas, including the trapezoidal and Simpson's rules, and the Gaus- sian quadrature. Difeerent procedures are compared and illustrated with examples. Discussions about more advanced numerical integration procedures are also included. | es_ES |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | es_ES |
dc.publisher | Wiley | es_ES |
dc.subject | Newton-Cotes formulas | es_ES |
dc.subject | Simpson rule | es_ES |
dc.subject | Trapezoidal rule | es_ES |
dc.subject | Gaussian quadrature | es_ES |
dc.subject | Legendre-Gauss quadrature | es_ES |
dc.title | An introduction to quadrature and other numerical integration techniques | es_ES |
dc.type | info:eu-repo/semantics/bookPart | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
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