A barycentric rational collocation method for higher-order equations related to time

Abstract In this article, higher-order equations related to time are solved using the barycentric rational collocation method, which aims to approximate the unknown function through a rational function. The equations are solved by using the direct solution, depression of order, and spatial using the barycentric rational collocation method, and then solved by the Runge-Kutta method in three ways. The final example verifies the validity.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-02-01
DOI
https://doi.org/10.1088/1742-6596/2964/1/012055
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
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article

A barycentric rational collocation method for higher-order equations related to time

X. L. Qu, Jia-Wei Lin
Journal of Physics Conference Series
Model Reduction and Neural Networks
article

A barycentric rational collocation method for higher-order equations related to time

X. L. Qu, Jia-Wei Lin
article en

Abstract

Abstract In this article, higher-order equations related to time are solved using the barycentric rational collocation method, which aims to approximate the unknown function through a rational function. The equations are solved by using the direct solution, depression of order, and spatial using the barycentric rational collocation method, and then solved by the Runge-Kutta method in three ways. The final example verifies the validity.

Journal of Physics Conference SeriesVol. 2964(1)
Zhejiang Ocean University (CN)
Openalex Percentile: Top 97%
Model Reduction and Neural Networks
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