Two-point block variable order step size multistep method for solving higher order ordinary differential equations directly

被引:4
|
作者
Rasedee, Ahmad Fadly Nurullah [1 ]
Sathar, Mohammad Hasan Abdul [2 ]
Hamzah, Siti Raihana [3 ]
Ishak, Norizarina [3 ]
Wong, Tze Jin [4 ]
Koo, Lee Feng [4 ]
Ibrahim, Siti Nur Iqmal [5 ]
机构
[1] Univ Sains Islam Malaysia, Fak Ekon & Muamalat, Nilai 71800, Negeri Sembilan, Malaysia
[2] Univ Putra Malaysia, Ctr Fdn Studies Agr Sci, Serdang 43400, Selangor, Malaysia
[3] Univ Sains Islam Malaysia, Fak Sains & Teknol, Nilai 71800, Negeri Sembilan, Malaysia
[4] Univ Putra Malaysia, Fac Agr & Food Sci, Dept Basic Sci & Engn, Bintulu Campus, Sarawak 97008, Malaysia
[5] Univ Putra Malaysia, Fac Sci, Dept Math, Serdang 43400, Selangor, Malaysia
关键词
Ordinary differential equations; Block; Multistep method; Variable order stepsize; INTEGRATION;
D O I
10.1016/j.jksus.2021.101376
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The current research aims to provide a viable numerical method for solving difficult engineering and science problems which are in the form of higher order ordinary differential equations. The proposed method approximates these ordinary differential equations using Newton-Gregory backward difference polynomial in predictor?corrector mode. The predictor?corrector algorithm is then fitted with a variable order step size algorithm to reduce computational cost. The variable order stepsize algorithm allows the method to predetermine the preferred level of accuracy with the added advantage of less computational cost. The method is subsequently programmed with a two-point block formulation which can be altered for parallel programming. This research also discusses order and stepsize strategies of the variable order stepsize algorithm. Stability and convergence estimations of the method are also established. Numerical results obtained will validate the accuracy and efficiency of the method using various types of linear and nonlinear higher order ordinary differential equations. ? 2021 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页数:11
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