Engineering Analysis ENG 3420 Fall 2009.ppt


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:HEC439BOfficehours:Tu-Th11:00-12:001**Lecture26Lecture26ScheduleThelasthomeworkHW5andthelastprojectaredueonTuesdayNovember24!!StudentswhohaveoptedforresearchprojectsinsteadofthefinalshouldpresenttheirprojectsonTuesdayDecember1stWe’,10AMto12::NumericalintegrationToday:urateestimationofintegrals(chapter18)RombergintegrationGaussquadratureAdaptivequadratureNextTimeNumericaldiufferentiation(chapter19).2RichardsonextrapolationRichardextrapolationputeathird,(h2)estimatesI(h1)andI(h2)arecalculatedforanintegralusingstepsizesofh1andh2,respectively,animprovedO(h4)estimatemaybeformedusing: Whentheintervalishalved(h2=h1/2),es:3Richardsonextrapolation(cont’d)WhentherearetwoO(h4)estimatesandtheintervalishalved(hm=hl/2),animprovedO(h6)estimatemaybeformedusing: WhentherearetwoO(h6)estimatesandtheintervalishalved(hm=hl/2),animprovedO(h8)estimatemaybeformedusing:uracyincreases,, whereij+1,k-1andij,k-urateintegrals,respectively,andij,:67GaussquadratureGaussquadrature-LegendreformulasTheGauss-LegendreformulasOptimizeestimatestointegralsforfunctionsoverintervalsfrom--: wheretheciandxiarecalculatedtoensurethatthemethodexactlyintegratesupto(2n-1)thorderpolynomialsovertheintervalfrom-’s1/,automaticallyadjustthestepsizesothatsmallstepsaretakeninregionsofsharpvariationsandlargerstepsaretak

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