A Uniformly Valid Approximation Algorithm for Nonlinear Ordinary Singular Perturbation Problems With Boundary Layer Solutions

Loading...

Journal Title

Journal ISSN

Volume Title

Open Access Color

GOLD

Green Open Access

Yes

OpenAIRE Downloads

71

OpenAIRE Views

139

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

relationships.isProjectOf

relationships.isJournalIssueOf

Abstract

This paper is concerned with two-point boundary value problems for singularly perturbed nonlinear ordinary differential equations. The case when the solution only has one boundary layer is examined. An efficient method so called Successive Complementary Expansion Method (SCEM) is used to obtain uniformly valid approximations to this kind of solutions. Four test problems are considered to check the efficiency and accuracy of the proposed method. The numerical results are found in good agreement with exact and existing solutions in literature. The results confirm that SCEM has a superiority over other existing methods in terms of easy-applicability and effectiveness.

Description

Cengizci, Suleyman/0000-0002-4345-1253;

Keywords

Uniformly Valid Approximation, Asymptotic Expansion, Boundary Layer, Singular Perturbation, Successive Complementary Expansion Method, Boundary layer, Research, Successive Complementary Expansion Method, Asymptotic expansion, Uniformly valid approximation, Singular perturbation

Fields of Science

0209 industrial biotechnology, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Citation

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
1

Volume

5

Issue

1

Start Page

End Page

PlumX Metrics
Citations

CrossRef : 1

Scopus : 3

Captures

Mendeley Readers : 4

SCOPUS™ Citations

3

checked on Jun 03, 2026

Web of Science™ Citations

3

checked on Jun 03, 2026

Page Views

1

checked on Jun 03, 2026

Downloads

5

checked on Jun 03, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.92

Sustainable Development Goals

SDG data is not available