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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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NUMERICAL MODELING OF A SINGULARLY PERTURBED BOUNDARY VALUE PROBLEM USING THE SPECTRAL METHOD

Authors: Razzakov Sherbek Tog'aymurod o'g'li; Normurodov Chori Begaliyevich.;

NUMERICAL MODELING OF A SINGULARLY PERTURBED BOUNDARY VALUE PROBLEM USING THE SPECTRAL METHOD

Abstract

This paper presents a numerical investigation of singularly perturbed boundary value problems (SPBVPs) using the spectral method. These types of differential equations arise frequently in physics and engineering, where the presence of a small parameter leads to sharp gradients or boundary layers. Standard numerical methods often fail to capture these features efficiently. In this study, we apply Chebyshev spectral collocation techniques to approximate the solution of a singularly perturbed second-order differential equation. We analyze the accuracy, convergence, and stability of the method, and compare the results with exact or asymptotic solutions. Numerical experiments confirm that the spectral method provides highly accurate approximations even in the presence of strong boundary layers.

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Keywords

Spectral method, Singular perturbation, Boundary value problem, Chebyshev collocation, Numerical modeling, Boundary layers, Convergence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green