Solutions of nonlinear Murray equation for blood flow in vessels by Laplace-residual power series

Purpose This study aims to introduce a novel hybrid approach called the Laplace-Residual Power Series Method (L-RPSM) for solving fractional nonlinear problems, specifically the Murray differential equation. This method combines the Residual Power Series Method (RPSM) with the Laplace Transform (LT). Design/methodology/approach The L-RPSM is applied to fractional nonlinear problems, including the Murray equation. The method provides an efficient means of obtaining exact and approximate series solutions for fractional differential equations. Numerical and graphical results are computed for different values of the fractional order parameter μ using Mathematica software. The performance and solutions of L-RPSM are compared with other established methods (Bernoulli wavelet collocation and reduced differential transform method) to demonstrate its effectiveness. Findings The L-RPSM successfully solves two cases of the Murray equation. The results demonstrate that the proposed approach is simple, accurate, and broadly applicable. The numerical and graphical results illustrate the behavior of the L-RPSM solutions and specifically show the influence of the fractional derivative (through parameter μ) on the obtained solutions. Originality/value The primary originality lies in the novel combination of the RPSM with the LT to form the L-RPSM specifically for tackling fractional nonlinear differential equations. The study provides clear evidence of the method's simplicity, accuracy, and broad applicability through solved examples and comparisons. Furthermore, it visually demonstrates the significant impact of the fractional order derivative on the solution behavior using 2D and 3D plots.

Authors

Institutions

Publication Details

Journal
Engineering Computations
Published
2025-09-04
DOI
https://doi.org/10.1108/ec-04-2025-0324
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Solutions of nonlinear Murray equation for blood flow in vessels by Laplace-residual power series

Monica Botros, Khalid K. Ali, M. Maneea, Mohamed S. Mohamed
1 citations
Engineering Computations
Fractional Differential Equations Solutions
1.37
article

Solutions of nonlinear Murray equation for blood flow in vessels by Laplace-residual power series

Monica Botros, Khalid K. Ali, M. Maneea, Mohamed S. Mohamed
article en
1 citations

Abstract

Purpose This study aims to introduce a novel hybrid approach called the Laplace-Residual Power Series Method (L-RPSM) for solving fractional nonlinear problems, specifically the Murray differential equation. This method combines the Residual Power Series Method (RPSM) with the Laplace Transform (LT). Design/methodology/approach The L-RPSM is applied to fractional nonlinear problems, including the Murray equation. The method provides an efficient means of obtaining exact and approximate series solutions for fractional differential equations. Numerical and graphical results are computed for different values of the fractional order parameter μ using Mathematica software. The performance and solutions of L-RPSM are compared with other established methods (Bernoulli wavelet collocation and reduced differential transform method) to demonstrate its effectiveness. Findings The L-RPSM successfully solves two cases of the Murray equation. The results demonstrate that the proposed approach is simple, accurate, and broadly applicable. The numerical and graphical results illustrate the behavior of the L-RPSM solutions and specifically show the influence of the fractional derivative (through parameter μ) on the obtained solutions. Originality/value The primary originality lies in the novel combination of the RPSM with the LT to form the L-RPSM specifically for tackling fractional nonlinear differential equations. The study provides clear evidence of the method's simplicity, accuracy, and broad applicability through solved examples and comparisons. Furthermore, it visually demonstrates the significant impact of the fractional order derivative on the solution behavior using 2D and 3D plots.

Engineering ComputationsVol. 42(7)
Taif University (SA), Monohakobi Technology Institute (Japan) (JP), Al-Azhar University (ID), Al Azhar University (QA), Artificial Intelligence in Medicine (Canada) (CA), Delta University for Science and Technology (EG)
Openalex Percentile: Top 17%
Fractional Differential Equations Solutions
1.37
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.