An introduction to quadrature and other numerical integration techniques

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UDC.coleccionInvestigaciónes_ES
UDC.departamentoMatemáticases_ES
UDC.grupoInvModelización, Optimización e Inferencia Estatística (MODES)es_ES
dc.contributor.authorAusín, M. Concepción
dc.date.accessioned2007-07-03T15:51:55Z
dc.date.available2007-07-03T15:51:55Z
dc.date.issued2007
dc.description.abstractThe 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.mimetypeapplication/pdf
dc.identifier.citationAparecerá en Encyclopedia of Statistics in Quality and Reliabilityes_ES
dc.identifier.urihttp://hdl.handle.net/2183/865
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectNewton-Cotes formulases_ES
dc.subjectSimpson rulees_ES
dc.subjectTrapezoidal rulees_ES
dc.subjectGaussian quadraturees_ES
dc.subjectLegendre-Gauss quadraturees_ES
dc.titleAn introduction to quadrature and other numerical integration techniqueses_ES
dc.typebook partes_ES
dspace.entity.typePublication

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