Nonlinear Multi-Point Problems Via Chelyshkov Approach

This study addresses a numerical method based on Chelyshkov polynomials for solving nonlinear multi-point boundary value problems (NBVPs). These polynomials are orthogonal on providing a solid basis for approximating solutions. The method converts the nonlinear equations with boundary conditions into a matrix structure and allows solutions to be computed in an efficient manner. The chosen examples demonstrate the method’s accuracy and practical advantages over existing techniques. Beyond NBVPs, the approach can also be applied to a broader class of functional differential equations in fields such as physics, biology, and engineering, offering a robust and adaptable tool for researchers tackling complex problems.

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Publication Details

Journal
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Published
2026-06-30
DOI
https://doi.org/10.17798/bitlisfen.1817435
Primary Topic
Numerical methods for differential equations
Type
article
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article

Nonlinear Multi-Point Problems Via Chelyshkov Approach

Cem Oğuz
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Numerical methods for differential equations
article

Nonlinear Multi-Point Problems Via Chelyshkov Approach

Cem Oğuz
article en

Abstract

This study addresses a numerical method based on Chelyshkov polynomials for solving nonlinear multi-point boundary value problems (NBVPs). These polynomials are orthogonal on providing a solid basis for approximating solutions. The method converts the nonlinear equations with boundary conditions into a matrix structure and allows solutions to be computed in an efficient manner. The chosen examples demonstrate the method’s accuracy and practical advantages over existing techniques. Beyond NBVPs, the approach can also be applied to a broader class of functional differential equations in fields such as physics, biology, and engineering, offering a robust and adaptable tool for researchers tackling complex problems.

Bitlis Eren Üniversitesi Fen Bilimleri DergisiVol. 15(2)
Ahi Evran University (TR)
Openalex Percentile: Top 6%
Numerical methods for differential equations
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