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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Band Second Edition
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Seite - 278 - in Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Band Second Edition

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278 8 SolvingOrdinaryDifferentialEquations a) A forwardfinite differenceapproximationto the derivativef ′(a) reads u′(tn)≈ u(tn+Δt)−u(tn) Δt . We can justify this formula mathematically through Taylor series. Write up the Taylor series for u(tn +Δt) (around t = tn, as given above), and then solve the expression with respect tou′(tn). Identify, on the right-hand side, the finite differenceapproximationandaninfiniteseries.Thisseries is thentheerrorin the finite differenceapproximation. IfΔt is assumed small (i.e.Δt << 1),Δt will be much larger thanΔt2, which will be much larger thanΔt3, and so on. The leading order term in the series for the error, i.e., the error with the least power ofΔt is a goodapproximationof theerror. Identify this term. b) Repeata) fora backwarddifference: u′(tn)≈ u(tn)−u(tn−Δt) Δt . This time,writeuptheTaylorseries foru(tn−Δt)around tn.Solvewith respect to u′(tn), and identify the leading order term in the error. How is the error comparedto the forwarddifference? c) A centered difference approximation to the derivative, as explored in Exer- cise 8.13,canbewritten u′(tn+ 1 2 Δt)≈ u(tn+Δt)−u(tn) Δt . Write up the Taylor series foru(tn) around tn+ 12Δt and the Taylor series for u(tn +Δt) around tn + 12Δt. Subtract the two series, solve with respect to u′(tn + 12Δt), identify the finite difference approximation and the error terms on the right-hand side, and write up the leading order error term. How is this termcomparedto the ones for the forwardandbackwarddifferences? d) Can you use the leading order error terms in a)–c) to explain the visual observations in thenumericalexperiment inExercise8.13? e) Find the leading order error term in the following standard finite difference approximationto the second-orderderivative: u′′(tn)≈ u(tn+Δt)−2u(tn)+u(tn−Δt) Δt2 . Hint Expressu(tn±Δt)viaTaylorseriesandinsert theminthedifferenceformula. Filename:Taylor_differences.pdf.
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python 3.6, Band Second Edition
Titel
Programming for Computations – Python
Untertitel
A Gentle Introduction to Numerical Simulations with Python 3.6
Band
Second Edition
Autoren
Svein Linge
Hans Petter Langtangen
Verlag
Springer Open
Datum
2020
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-319-32428-9
Abmessungen
17.8 x 25.4 cm
Seiten
356
Schlagwörter
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
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Programming for Computations – Python