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Approximating non linear higher order ODEs by a three point block algorithm
Author(s) -
Ahmad Fadly Nurullah Rasedee,
Mohammad Hasan Abdul Sathar,
Khairil Iskandar Othman,
Siti Raihana Hamzah,
Norizarina Ishak
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0246904
Subject(s) - ode , ordinary differential equation , algorithm , convergence (economics) , block (permutation group theory) , nonlinear system , stability (learning theory) , computer science , numerical analysis , numerical stability , point (geometry) , mathematics , rate of convergence , numerical methods for ordinary differential equations , differential equation , mathematical optimization , key (lock) , differential algebraic equation , mathematical analysis , machine learning , physics , geometry , computer security , quantum mechanics , economic growth , economics
Differential equations are commonly used to model various types of real life applications. The complexity of these models may often hinder the ability to acquire an analytical solution. To overcome this drawback, numerical methods were introduced to approximate the solutions. Initially when developing a numerical algorithm, researchers focused on the key aspect which is accuracy of the method. As numerical methods becomes more and more robust, accuracy alone is not sufficient hence begins the pursuit of efficiency which warrants the need for reducing computational cost. The current research proposes a numerical algorithm for solving initial value higher order ordinary differential equations (ODEs). The proposed algorithm is derived as a three point block multistep method, developed in an Adams type formulae (3PBCS) and will be used to solve various types of ODEs and systems of ODEs. Type of ODEs that are selected varies from linear to nonlinear, artificial and real life problems. Results will illustrate the accuracy and efficiency of the proposed three point block method. Order, stability and convergence of the method are also presented in the study.

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