A Comparative Study and Numerical Solutions for the Fractional Modified Lorenz–Stenflo System Using Two Methods

This paper provides a solution to the new fractional-order Lorenz–Stenflo model using the adaptive predictor–corrector approach and the ρ-Laplace New Iterative Method (LρNIM), representing an extensive comparison between both techniques with RK4 related to accuracy and error analysis. The results show that the suggested approaches allow one to be more accurate in analyzing the dynamics of the system. These techniques also produce results that are comparable to the results of other approximate techniques. The techniques can, thus, be used on a wider class of systems in order to provide more accurate results. These techniques also appropriately identify chaotic attractors in the system. These techniques can be applied to solve various numerical problems arising in science and engineering in the future.

Authors

Institutions

Publication Details

Journal
Axioms
Published
2024-12-30
DOI
https://doi.org/10.3390/axioms14010020
Citations
3
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparative Study and Numerical Solutions for the Fractional Modified Lorenz–Stenflo System Using Two Methods

Rania Saadeh, Mohamed A. Abdoon, Abdulrahman B. M. Alzahrani, Mohamed Elbadri et al.
3 citations
Axioms
Fractional Differential Equations Solutions
1.19
article

A Comparative Study and Numerical Solutions for the Fractional Modified Lorenz–Stenflo System Using Two Methods

Rania Saadeh, Mohamed A. Abdoon, Abdulrahman B. M. Alzahrani, Mohamed Elbadri, Mohammed Berir
article en
3 citations

Abstract

This paper provides a solution to the new fractional-order Lorenz–Stenflo model using the adaptive predictor–corrector approach and the ρ-Laplace New Iterative Method (LρNIM), representing an extensive comparison between both techniques with RK4 related to accuracy and error analysis. The results show that the suggested approaches allow one to be more accurate in analyzing the dynamics of the system. These techniques also produce results that are comparable to the results of other approximate techniques. The techniques can, thus, be used on a wider class of systems in order to provide more accurate results. These techniques also appropriately identify chaotic attractors in the system. These techniques can be applied to solve various numerical problems arising in science and engineering in the future.

AxiomsVol. 14(1)
Zarqa University (JO), Jouf University (SA), King Saud University (SA), Al Baha University (SA)
King Saud University
Openalex Percentile: Top 22%
Fractional Differential Equations Solutions
1.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.