Optimization of One-Step Block Method for Solving Second-Order Fuzzy Initial Value Problems | Zendy

Safa Al-Refai | Zendy; Muhammed I. Syam | Zendy; Mohammed Al-Refai | Zendy

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Optimization of One-Step Block Method for Solving Second-Order Fuzzy Initial Value Problems

Author(s) -

Safa Al-Refai,

Muhammed I. Syam,

Mohammed Al-Refai

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/6650413

Subject(s) - convergence (economics) , block (permutation group theory) , fuzzy logic , mathematical optimization , stability (learning theory) , value (mathematics) , computer science , mathematics , order (exchange) , algorithm , artificial intelligence , statistics , machine learning , geometry , finance , economics , economic growth

In this article, we present a one-step hybrid block method for approximating the solutions of second-order fuzzy initial value problems. We prove the stability and convergence results of the method and present several examples to illustrate the efficiency and accuracy of the proposed method. The numerical results are compared with the existing ones in the literature.

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