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A New Nonlinear Hybrid Technique with fixed and adaptive step-size approaches

Yıl 2022, Cilt: 40 Sayı: 1, 162 - 178, 25.03.2022

Öz

Linear and nonlinear numerical techniques are the most popular techniques for finding approximate solutions to initial value problems in numerous scientific fields. Due to the substantial importance of ordinary differential equations, an attempt has been made in the present research study to obtain a new nonlinear hybrid technique based upon contra-harmonic and harmonic means having fourth-order accuracy. Theoretical analysis in terms of consistency, stability, asymptotic errors (local and global truncation errors), and convergence has also been carried out. The newly formulated technique is compared with some existing techniques having the same characteristics and observed to be much better because of errors, CPU time, and stability region. The adaptive step-size approach improves the performance of the proposed technique, and strategies to control the errors are developed. Some numerical experiments for scalar and vector initial value problems, including logistic growth, sinusoidal and industrial Robot Arm systems, are presented to show better performance of the proposed technique.

Kaynakça

  • The article references can be accessed from the .pdf file.
Yıl 2022, Cilt: 40 Sayı: 1, 162 - 178, 25.03.2022

Öz

Kaynakça

  • The article references can be accessed from the .pdf file.
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Amanullah Soomro Bu kişi benim 0000-0002-7225-2309

Sania Qureshı Bu kişi benim 0000-0002-5823-0170

Asif Ali Shaıkh Bu kişi benim 0000-0002-3084-922X

Yayımlanma Tarihi 25 Mart 2022
Gönderilme Tarihi 25 Ağustos 2021
Yayımlandığı Sayı Yıl 2022 Cilt: 40 Sayı: 1

Kaynak Göster

Vancouver Soomro A, Qureshı S, Shaıkh AA. A New Nonlinear Hybrid Technique with fixed and adaptive step-size approaches. SIGMA. 2022;40(1):162-78.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/