Volume 18, Issue 4
Parallel Rosenbrock Methods for Solving Stiff Systems in Real-Time Simulation

Li Rong Chen & De Gui Liu

DOI:

J. Comp. Math., 18 (2000), pp. 375-386

Published online: 2000-08

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  • Abstract

In this paper parallel Rosenbrock methods in real-time simulation are presented on parallel computers. Their construction, their convergence and their numerical stability are studied, and the numerical simulation experiments are conducted on a personal computer and a parallel computer respectively.

  • Keywords

Rosenbrock methods stiff system real-time simulation parallel algorithms

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@Article{JCM-18-375, author = {}, title = {Parallel Rosenbrock Methods for Solving Stiff Systems in Real-Time Simulation}, journal = {Journal of Computational Mathematics}, year = {2000}, volume = {18}, number = {4}, pages = {375--386}, abstract = { In this paper parallel Rosenbrock methods in real-time simulation are presented on parallel computers. Their construction, their convergence and their numerical stability are studied, and the numerical simulation experiments are conducted on a personal computer and a parallel computer respectively. }, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/9050.html} }
TY - JOUR T1 - Parallel Rosenbrock Methods for Solving Stiff Systems in Real-Time Simulation JO - Journal of Computational Mathematics VL - 4 SP - 375 EP - 386 PY - 2000 DA - 2000/08 SN - 18 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jcm/9050.html KW - Rosenbrock methods KW - stiff system KW - real-time simulation KW - parallel algorithms AB - In this paper parallel Rosenbrock methods in real-time simulation are presented on parallel computers. Their construction, their convergence and their numerical stability are studied, and the numerical simulation experiments are conducted on a personal computer and a parallel computer respectively.
Li Rong Chen & De Gui Liu. (1970). Parallel Rosenbrock Methods for Solving Stiff Systems in Real-Time Simulation. Journal of Computational Mathematics. 18 (4). 375-386. doi:
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