Residual Power Series Method for Solving Linear Complex Differential Equations

This work uses the residual power series method (RPSM), primarily based on the general Taylor series formula with a residual error function, to offer solutions to instances of linear complex differential equations (LCDEs) as test problems. After finding approximate solutions to those problems, the current approach's findings have been compared with the exact solutions as shown in the tables and figures, which show the suggested method's reliability, precision, and rapid convergence. So, the importance of this research lies in demonstrating the method's ability to find an approximate solution close to the exact solution for complex differential equations.

Authors

Publication Details

Journal
Advances in Nonlinear Variational Inequalities
Published
2024-08-23
DOI
https://doi.org/10.52783/anvi.v27.715
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Residual Power Series Method for Solving Linear Complex Differential Equations

Susan H. Mohammad
Advances in Nonlinear Variational Inequalities
Numerical methods for differential equations
article

Residual Power Series Method for Solving Linear Complex Differential Equations

Susan H. Mohammad
article en

Abstract

This work uses the residual power series method (RPSM), primarily based on the general Taylor series formula with a residual error function, to offer solutions to instances of linear complex differential equations (LCDEs) as test problems. After finding approximate solutions to those problems, the current approach's findings have been compared with the exact solutions as shown in the tables and figures, which show the suggested method's reliability, precision, and rapid convergence. So, the importance of this research lies in demonstrating the method's ability to find an approximate solution close to the exact solution for complex differential equations.

Advances in Nonlinear Variational InequalitiesVol. 27(2)
Openalex Percentile: Top 68%
Numerical methods for differential equations
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.

Residual Power Series Method for Solving Linear Complex Differential Equations — Susan H. Mohammad · Advances in Nonlinear Variational Inequalities (2024) | TGRS Research Map | TGRS