Partitioning ordinary differential equations using Runge-Kutta methods

Two techniques for detecting stiffness when using Runge-Kutta type of methods are discussed and compared, and a partitioning strategy for first-order system of equations into stiff and nonstiff subsystems is proposed. A few problems are solved using three-stage semi-implicit Runge-Kutta method. Newt...

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Main Authors: Suleiman, Mohamed, Ismail, Fudziah, Mohd Atan, Kamel Ariffin
Format: Article
Language:English
English
Published: Elsevier 1996
Online Access:http://psasir.upm.edu.my/id/eprint/41072/1/Partitioning%20ordinary%20differential%20equations%20using%20Runge-Kutta%20methods.pdf
http://psasir.upm.edu.my/id/eprint/41072/7/1-s2.0-0096300395002472-main.pdf
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author Suleiman, Mohamed
Ismail, Fudziah
Mohd Atan, Kamel Ariffin
author_facet Suleiman, Mohamed
Ismail, Fudziah
Mohd Atan, Kamel Ariffin
author_sort Suleiman, Mohamed
collection UPM
description Two techniques for detecting stiffness when using Runge-Kutta type of methods are discussed and compared, and a partitioning strategy for first-order system of equations into stiff and nonstiff subsystems is proposed. A few problems are solved using three-stage semi-implicit Runge-Kutta method. Newton iteration is used for the stiff part and simple iteration for the nonstiff. Finally, numerical results based on different criteria to detect stiffness are compared.
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spelling upm.eprints-410722024-08-08T04:10:10Z http://psasir.upm.edu.my/id/eprint/41072/ Partitioning ordinary differential equations using Runge-Kutta methods Suleiman, Mohamed Ismail, Fudziah Mohd Atan, Kamel Ariffin Two techniques for detecting stiffness when using Runge-Kutta type of methods are discussed and compared, and a partitioning strategy for first-order system of equations into stiff and nonstiff subsystems is proposed. A few problems are solved using three-stage semi-implicit Runge-Kutta method. Newton iteration is used for the stiff part and simple iteration for the nonstiff. Finally, numerical results based on different criteria to detect stiffness are compared. Elsevier 1996-10 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/41072/1/Partitioning%20ordinary%20differential%20equations%20using%20Runge-Kutta%20methods.pdf text en http://psasir.upm.edu.my/id/eprint/41072/7/1-s2.0-0096300395002472-main.pdf Suleiman, Mohamed and Ismail, Fudziah and Mohd Atan, Kamel Ariffin (1996) Partitioning ordinary differential equations using Runge-Kutta methods. Applied Mathematics and Computation, 79 (2-3). pp. 289-309. ISSN 0096-3003 http://www.sciencedirect.com/science/article/pii/0096300395002472 10.1016/0096-3003(95)00247-2
spellingShingle Suleiman, Mohamed
Ismail, Fudziah
Mohd Atan, Kamel Ariffin
Partitioning ordinary differential equations using Runge-Kutta methods
title Partitioning ordinary differential equations using Runge-Kutta methods
title_full Partitioning ordinary differential equations using Runge-Kutta methods
title_fullStr Partitioning ordinary differential equations using Runge-Kutta methods
title_full_unstemmed Partitioning ordinary differential equations using Runge-Kutta methods
title_short Partitioning ordinary differential equations using Runge-Kutta methods
title_sort partitioning ordinary differential equations using runge kutta methods
url http://psasir.upm.edu.my/id/eprint/41072/1/Partitioning%20ordinary%20differential%20equations%20using%20Runge-Kutta%20methods.pdf
http://psasir.upm.edu.my/id/eprint/41072/7/1-s2.0-0096300395002472-main.pdf
work_keys_str_mv AT suleimanmohamed partitioningordinarydifferentialequationsusingrungekuttamethods
AT ismailfudziah partitioningordinarydifferentialequationsusingrungekuttamethods
AT mohdatankamelariffin partitioningordinarydifferentialequationsusingrungekuttamethods