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Searches related to exemple de methode de runge kutta filetype:pdf

32 Version March 12 2015 Chapter 3 Implicit Runge-Kutta methods De nition 3 4 A method is called A-stable if its stability region Ssatis es C ˆS where C denotes the left-half complex plane Figure 3 2 clearly shows that neither the explicit Euler nor the classical Runge-Kutta methods are A-stable

What is runge kutta method?

  • Runge-Kutta methods are among themost popular ODE solvers. They were ?rst studied by Carle Runge and Martin Kuttaaround 1900. Modern developments are mostly due to John Butcher in the 1960s. y0(t) =f(t,y(t)). (42) y(t+h) =y(t) +hy0(t) +y00(t) +O(h3). with Jacobianfy.

Is yn+1 a Runge-Kutta method?

  • yn+1=yn+hf(tn,yn). 1 i.e., the classical second-order Runge-Kutta method. 2hf(t+h,y(t+h)). yn+2=yn+ 2hf(tn+1,yn+1). This is not a Runge-Kutta method. It is an explicit 2-step method. In thecontext of PDEs this method reappears as theleapfrog method.

What is explicit Runge-Kutta method?

  • Explicit Runge-Kutta methods are characterized by a strictly lower triangular ma-trixA, i.e.,aij = 0 ifj?i. Moreover, the coe?cientsci andaij are connected by thecondition ci =aij, i= 1,2, . . . , ?. This says thatci is the row sum of thei-th row of the matrixA. This condition isrequired to have a method of order one, i.e., for consistency.

Is runge-kutta a predictor-corrector method?

  • 3.We also saw earlier that the classical second-order Runge-Kutta method can beinterpreted as a predictor-corrector method where Euler’s method is used as thepredictor for the (implicit) trapezoidal rule. Clearly, this is a generalization of the classical Runge-Kutta method since the choiceb1 =b2 =1andc2=a21= 1 yields that case. A bT. 1 0 1122.
The Prothero and Robinson example: Convergence studies for

Joachim Rang

The Prothero and

Robinson example:

Convergence studies for

Runge{Kutta and

Rosenbrock{Wanner

methodsInformatikbericht Nr. 2014-05 Institute of Scientific ComputingCarl-Friedrich-Gau-FakultatTechnische Universitat Braunschweig

Braunschweig, Germany

This document was created July 2014 using L

ATEX2".

Institute of Scientic Computing

Technische Universitat Braunschweig

Hans-Sommer-Strae 65

D-38106 Braunschweig, Germany

url: www.wire.tu- bs.de mail: wire@tu-bs.de e-print: http://www.digibib.tu-bs.de/?docid=00057194

Copyright

c by Joachim Rang This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specically the rights of transla- tion, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microlm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted in connection with reviews or scholarly analysis. Permission for use must always be obtained from the copyright holder. Alle Rechte vorbehalten, auch das des auszugsweisen Nachdrucks, der auszugsweisen oder vollstandigen Wiedergabe (Photographie, Mikroskopie),

der Speicherung in Datenverarbeitungsanlagen und das derUbersetzung.http://www.digibib.tu-bs.de/?docid=0005719413/08/2014

The Prothero and Robinson example:

Convergence studies for Runge{Kutta and

Rosenbrock{Wanner methods

Joachim Rang

Institute of Scientic Computing, TU Braunschweig

j.rang@tu-bs.de

Abstract

It is well-known that one-step methods have order reduction if they are applied on sti ODEs such as the example of Prothero{ Robinson. In this paper we analyse the local error of Runge{Kutta and Rosenbrock{Wanner methods. We derive new order conditions and deneBPR-consistency. We show that for stronglyA-stable methods B PR-consistency impliesBPR-convergence. Finally we analyse meth- ods from literature, derive newBPR-consistent methods and present numerical examples. This analysis shows that Runge{Kutta methods and Rosenbrock{Wanner methods which are not stiy accurate and are only consistent converge with order 2 in the sti case, but the error constant may be large. As an improvement stiy accurate methods can be considered, since the numerical error is now smaller, but the method converges only with order 1. The numerical results and the order of convergence can be improved if the derived order conditions are satised. Keywords:example of Prothero{Robinson, order reduction,B- convergence, Runge{Kutta methods, Rosenbrock{Wanner methods, ODEs i ii

1 Introduction

In the simulation of sti ODEs and dierential algebraic equations (DAEs), Runge{Kutta (RK) and Rosenbrock{Wanner (ROW) methods seem to be a good choice since these classes of methods includeA-stable schemes.A- stability guarantees in general a stable numerical solution. One disadvan- tage of one-step methods is the order reduction phenomenon for sti prob- lems such as the example of Prothero and Robinson [ 17 ]. For fully implicit Runge{Kutta methods like Gau{Legendre methods the numerical order of convergence decreases from 2stos, wheresis the number of internal stages. Order reduction can be observed for other sti ODEs, too, such as semi- discretised parabolic PDEs, often called MOL-ODEs. Analytical results are proven by Ostermann and Roche [ 15 ]. They show that implicit Runge{Kutta methods may have a fractional order of convergence. Similar results are presented for Rosenbrock{Wanner methods in [ 16 For Runge{Kutta methods Frank, Schneid and Ueberhuber in [ 6 ] intro- duced the concept ofB-consistency andB-convergence. They show that B-consistency andB-stability implyB-convergence [7]. In contrast to the es- timates for non-sti problems the local and the global error in the case of sti problems depend on a one-sided Lipschitz constant, and not on the classical Lipschitz constant. In several papersB-convergence of implicit Runge{Kutta methods is studied. For an overview we refer to [ 8 ] and [ 9 In contrast to implicit Runge{Kutta methods Rosenbrock{Wanner meth- ods can not beB-stable (see [9,18 ] and the references cited in there). Scholz introducesB-consistency for Rosenbrock{Wanner methods [24] and proves that stronglyA-stable Rosenbrock{Wanner methods areB-convergent if they areB-consistent. Moreover, order conditions are presented such thatB- consistent Rosenbrock{Wanner methods can be developed. A Rosenbrock{ Wanner method satisfying these order conditions from Scholz is the RODASP method from Steinebach [ 26
More or less all error bounds which can be found in literature estimate the local or global error w.r.t. powers of the step-size. It is well-known that, for example, stiy accurate Runge{Kutta methods such as Radau-IIA methods the local and global error can be estimated withq=zin the case of the sti Prothero{Robinson example. Heredenotes the step-size andz:=, whereis the given stiness. The factorq=zimplies a numerical order ofquotesdbs_dbs2.pdfusesText_3
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