Enhanced rational multi-derivative integrator for singular problems with application to advection equations

Singular problems with discontinuities or steep gradients challenge traditional numerical integration methods. This study introduces the Rational Multi-Derivative Integrator (RMDI), designed specifically for such problems in ordinary and partial differential equations. The RMDI employs rational approximations and neural data to effectively manage singularities, enhancing accuracy and stability. Benchmark tests on singular ODEs and Advection equations show the RMDI reduces error rates by up to 99% and converges at singular points with errors within 1.5% of exact solutions. In real-world applications, the RMDI consistently outperforms existing methods, confirming its potential for practical use in scientific and engineering fields.

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Publication Details

Journal
Ain Shams Engineering Journal
Published
2024-09-16
DOI
https://doi.org/10.1016/j.asej.2024.103066
Citations
5
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
3.66
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article

Enhanced rational multi-derivative integrator for singular problems with application to advection equations

Muideen O. Ogunniran, Abeer Aljohani, Yuanheng Wang, K. R. Tijani et al.
5 citations
Ain Shams Engineering Journal
Numerical methods for differential equations
3.66
article

Enhanced rational multi-derivative integrator for singular problems with application to advection equations

Muideen O. Ogunniran, Abeer Aljohani, Yuanheng Wang, K. R. Tijani, Ali Shokri
article en
5 citations

Abstract

Singular problems with discontinuities or steep gradients challenge traditional numerical integration methods. This study introduces the Rational Multi-Derivative Integrator (RMDI), designed specifically for such problems in ordinary and partial differential equations. The RMDI employs rational approximations and neural data to effectively manage singularities, enhancing accuracy and stability. Benchmark tests on singular ODEs and Advection equations show the RMDI reduces error rates by up to 99% and converges at singular points with errors within 1.5% of exact solutions. In real-world applications, the RMDI consistently outperforms existing methods, confirming its potential for practical use in scientific and engineering fields.

Ain Shams Engineering JournalVol. 15(12)
Zhejiang Normal University (CN), University of Maragheh (IR), Taibah University (SA), Osun State University (NG)
Openalex Percentile: Top 6%
Numerical methods for differential equations
3.66
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