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

Ahmad Fadly Nurullah RasedeeFakulti Ekonomi dan Muamalat, Universiti Sains Islam Malaysia, 71800 Nilai, Negari Sembilan, MalaysiaMohammad Hasan Abdul SatharCentre of Foundation Studies for Agricultural Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, MalaysiaSiti Raihana HamzahFakulti Sains dan Teknologi, Universiti Sains Islam Malaysia, 71800 Nilai, Negari Sembilan MalaysiaNorizarina IshakFakulti Sains dan Teknologi, Universiti Sains Islam Malaysia, 71800 Nilai, Negari Sembilan MalaysiaTze Jin WongDepartment of Basic Sciences and Engineering, Faculty of Agriculture and Food Science, Universiti Putra Malaysia, Bintulu Campus, 97008 Bintulu, Sarawak, MalaysiaLee Feng KooDepartment of Basic Sciences and Engineering, Faculty of Agriculture and Food Science, Universiti Putra Malaysia, Bintulu Campus, 97008 Bintulu, Sarawak, MalaysiaSiti Nur Iqmal IbrahimDepartment of Mathematics, Faculty of Science, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
2021en
ABI

Abstract

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.

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