2007
DOI: 10.1002/num.20212
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An almost L‐stable BDF‐type method for the numerical solution of stiff ODEs arising from the method of lines

Abstract: A new BDF-type scheme is proposed for the numerical integration of the system of ordinary differential equations that arises in the Method of Lines solution of time-dependent partial differential equations. This system is usually stiff, so it is desirable for the numerical method to solve it to have good properties concerning stability. The method proposed in this article is almost L-stable and of algebraic order three. Numerical experiments illustrate the performance of the new method on different stiff syste… Show more

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Cited by 13 publications
(11 citation statements)
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“…Some of the options available for time integration when using a moving grid method of lines code is surveyed in [46]. A new technique is proposed in [47] for the numerical integration of the system of ordinary differential equations that arises in the method of lines solution of timedependent partial differential equations. This system is usually stiff, so it is desirable for the numerical method to solve it to have good properties concerning stability.…”
Section: Methods Of Linesmentioning
confidence: 99%
See 1 more Smart Citation
“…Some of the options available for time integration when using a moving grid method of lines code is surveyed in [46]. A new technique is proposed in [47] for the numerical integration of the system of ordinary differential equations that arises in the method of lines solution of timedependent partial differential equations. This system is usually stiff, so it is desirable for the numerical method to solve it to have good properties concerning stability.…”
Section: Methods Of Linesmentioning
confidence: 99%
“…It is applicable to a wide range of problems in many areas [47]. The reader can see the Appendix of [22] for some problems in physics, fluid dynamics, reactor models, automatic control, and more.…”
Section: Testmentioning
confidence: 99%
“…From Table 1, it is clear that the Block Backward Differentiation Formula (BBDF) yields a more accurate result than the result of the Crank-Nicholson computation and outperforms the results obtained by Cash [2] and Jator [7].…”
Section: Problemmentioning
confidence: 96%
“…It is noted that Vigo-Aguiar and Ramos [44] also constructed a special family of Runge-Kutta collocation algorithms based on Chebyshev-Gauss-Lobatto points, with A-stability and stiffly accurate characteristics. The interested reader may also refer to [34,35] for additional information.…”
Section: Introductionmentioning
confidence: 99%