Numerical algorithms using reproducing kernels for oscillatory boundary value problems

As is known, it is perceived as a difficult problem to obtain an effective approximate solution to boundary value problems (BVPs) with highly oscillatory solutions. Traditional reproducing kernel methods (RKMs) are not effective for highly oscillatory BVPs although the RKM is a useful approach to approximation theory. The aim of the letter is to propose a novel class of RKMs to solve highly oscillatory second-order BVPs. To this end, we begin with the variation-of-constants formula (VCF). We then derive RKMs for highly oscillatory BVPs. Our simulations confirm the high accuracy of the introduced techniques.

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Publication Details

Journal
Applied Mathematics Letters
Published
2025-10-21
DOI
https://doi.org/10.1016/j.aml.2025.109794
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
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article

Numerical algorithms using reproducing kernels for oscillatory boundary value problems

Xiao Yu Wu, Fazhan Geng
Applied Mathematics Letters
Advanced Numerical Methods in Computational Mathematics
article

Numerical algorithms using reproducing kernels for oscillatory boundary value problems

Xiao Yu Wu, Fazhan Geng
article en

Abstract

As is known, it is perceived as a difficult problem to obtain an effective approximate solution to boundary value problems (BVPs) with highly oscillatory solutions. Traditional reproducing kernel methods (RKMs) are not effective for highly oscillatory BVPs although the RKM is a useful approach to approximation theory. The aim of the letter is to propose a novel class of RKMs to solve highly oscillatory second-order BVPs. To this end, we begin with the variation-of-constants formula (VCF). We then derive RKMs for highly oscillatory BVPs. Our simulations confirm the high accuracy of the introduced techniques.

Applied Mathematics LettersVol. 173
Suzhou University of Science and Technology (CN), Nanjing University (CN)
Openalex Percentile: Top 68%
Advanced Numerical Methods in Computational Mathematics
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