Analysis of a Block Method Developed with Six Generalised Grid Points for Solving Fourth Order Initial Value Problems

This manuscript presents the development, analysis, and application of a novel six-step block method,derived using a linear block algorithm (LBA), for the approximate solution of fourth-order initial value problems (IVPs). The proposed method is designed to overcome the shortcomings associated with traditional reduction methods, which involve converting the fourth-order IVP into a system of first-order ordinary differential equations (ODEs). Instead, the new method solves the problem directly, leveraging the advantages of hybrid block methods. A comprehensive theoretical analysis of the proposed method is provided, including proofs of its convergence and accuracy. The method’s performance is then compared to existing methods for solving fourth-order IVPs, using numerical examples and tables to illustrate the results. The comparative analysis demonstrates the accuracy, efficiency, and reliability of the proposed method, highlighting its potential as a viable alternative for solving fourth-order IVPs.

Authors

Institutions

Publication Details

Journal
Journal of Mathematical Analysis and Modeling
Published
2025-06-16
DOI
https://doi.org/10.48185/jmam.v6i1.1361
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of a Block Method Developed with Six Generalised Grid Points for Solving Fourth Order Initial Value Problems

Oluwaseun Adeyeye, John Sabo
Journal of Mathematical Analysis and Modeling
Matrix Theory and Algorithms
article

Analysis of a Block Method Developed with Six Generalised Grid Points for Solving Fourth Order Initial Value Problems

Oluwaseun Adeyeye, John Sabo
article en

Abstract

This manuscript presents the development, analysis, and application of a novel six-step block method,derived using a linear block algorithm (LBA), for the approximate solution of fourth-order initial value problems (IVPs). The proposed method is designed to overcome the shortcomings associated with traditional reduction methods, which involve converting the fourth-order IVP into a system of first-order ordinary differential equations (ODEs). Instead, the new method solves the problem directly, leveraging the advantages of hybrid block methods. A comprehensive theoretical analysis of the proposed method is provided, including proofs of its convergence and accuracy. The method’s performance is then compared to existing methods for solving fourth-order IVPs, using numerical examples and tables to illustrate the results. The comparative analysis demonstrates the accuracy, efficiency, and reliability of the proposed method, highlighting its potential as a viable alternative for solving fourth-order IVPs.

Journal of Mathematical Analysis and ModelingVol. 6(1)
Caleb University (NG)
Openalex Percentile: Top 85%
Matrix Theory and Algorithms
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.