Numerical Solution of Ordinary and Delay Differential Equations by Runge-Kutta Type Methods

Runge-Kutta methods for the solution of systems of ordinary differential equations (ODEs) are described. To overcome the difficulty in implementing fully implicit Runge-Kutta method and to avoid the limitations of explicit Runge-Kutta method, we resort to Singly Diagonally Implicit Runge-Kutta (S...

Full description

Saved in:
Bibliographic Details
Main Author: Ismail, Fudziah
Format: Thesis
Language:English
English
Published: 1999
Online Access:http://psasir.upm.edu.my/id/eprint/8653/1/FSAS_1999_5_A.pdf
http://psasir.upm.edu.my/id/eprint/8653/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.8653
record_format eprints
spelling my.upm.eprints.86532012-12-14T02:02:10Z http://psasir.upm.edu.my/id/eprint/8653/ Numerical Solution of Ordinary and Delay Differential Equations by Runge-Kutta Type Methods Ismail, Fudziah Runge-Kutta methods for the solution of systems of ordinary differential equations (ODEs) are described. To overcome the difficulty in implementing fully implicit Runge-Kutta method and to avoid the limitations of explicit Runge-Kutta method, we resort to Singly Diagonally Implicit Runge-Kutta (SDIRK) method, which is computationally efficient and stiffly stable. Consequently, embedded SDIRK methods of fourth order five stages in fifth order six stages are constructed. Their regions of stability are presented and numerical results of the methods are compared with the existing methods. Stiff systems of ODEs are solved using implicit formulae and require the use of Newton-like iteration, which needs a lot of computational effort. If the systems can be partitioned dynamically into stiff and nonstiff subsystems then a more effective code can be developed. Hence, partitioning strategies are discussed in detail and numerical results based on two techniques to detect stiffness using SDIRK methods are compared. A brief introduction to delay differential equations (DDEs) is given. The stability properties of SDIRK methods, when applied to DDEs, using Lagrange interpolation to evaluate the delay term, are investigated. Finally, partitioning strategies for ODEs are adapted to DDEs and numerical results based on two partitioning techniques, interval wise partitioning and componentwise partitioning are tabulated and compared. 1999 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/8653/1/FSAS_1999_5_A.pdf Ismail, Fudziah (1999) Numerical Solution of Ordinary and Delay Differential Equations by Runge-Kutta Type Methods. PhD thesis, Universiti Putra Malaysia. English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Runge-Kutta methods for the solution of systems of ordinary differential equations (ODEs) are described. To overcome the difficulty in implementing fully implicit Runge-Kutta method and to avoid the limitations of explicit Runge-Kutta method, we resort to Singly Diagonally Implicit Runge-Kutta (SDIRK) method, which is computationally efficient and stiffly stable. Consequently, embedded SDIRK methods of fourth order five stages in fifth order six stages are constructed. Their regions of stability are presented and numerical results of the methods are compared with the existing methods. Stiff systems of ODEs are solved using implicit formulae and require the use of Newton-like iteration, which needs a lot of computational effort. If the systems can be partitioned dynamically into stiff and nonstiff subsystems then a more effective code can be developed. Hence, partitioning strategies are discussed in detail and numerical results based on two techniques to detect stiffness using SDIRK methods are compared. A brief introduction to delay differential equations (DDEs) is given. The stability properties of SDIRK methods, when applied to DDEs, using Lagrange interpolation to evaluate the delay term, are investigated. Finally, partitioning strategies for ODEs are adapted to DDEs and numerical results based on two partitioning techniques, interval wise partitioning and componentwise partitioning are tabulated and compared.
format Thesis
author Ismail, Fudziah
spellingShingle Ismail, Fudziah
Numerical Solution of Ordinary and Delay Differential Equations by Runge-Kutta Type Methods
author_facet Ismail, Fudziah
author_sort Ismail, Fudziah
title Numerical Solution of Ordinary and Delay Differential Equations by Runge-Kutta Type Methods
title_short Numerical Solution of Ordinary and Delay Differential Equations by Runge-Kutta Type Methods
title_full Numerical Solution of Ordinary and Delay Differential Equations by Runge-Kutta Type Methods
title_fullStr Numerical Solution of Ordinary and Delay Differential Equations by Runge-Kutta Type Methods
title_full_unstemmed Numerical Solution of Ordinary and Delay Differential Equations by Runge-Kutta Type Methods
title_sort numerical solution of ordinary and delay differential equations by runge-kutta type methods
publishDate 1999
url http://psasir.upm.edu.my/id/eprint/8653/1/FSAS_1999_5_A.pdf
http://psasir.upm.edu.my/id/eprint/8653/
_version_ 1643824080540925952
score 13.18916