MAXIMUM ERROR ESTIMATES OF DISCONTINUOUS GALERKIN METHODS FOR SOLVING NEUTRAL DELAY DIFFERENTIAL EQUATIONS

The exact solution to a neutral delay differential equation is generally non-smooth. Some possible loss of accuracy is usually found if certain high-order numerical methods are applied. The discontinuous Galerkin (DG) methods are introduced to numerically solve neutral delay differential equations so as to handle the difficulties. Maximum error estimates of the numerical method is investigated. Theoretical results indicate that the ${p}$-degree DG approximate solution has an accuracy of ${p}$-th order. Numerical experiments are presented to confirm the effectiveness and performance of the DG methods.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240386
Primary Topic
Numerical methods for differential equations
Type
article
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article

MAXIMUM ERROR ESTIMATES OF DISCONTINUOUS GALERKIN METHODS FOR SOLVING NEUTRAL DELAY DIFFERENTIAL EQUATIONS

Hongyu Qin, Fengyan Wu, Yuanyuan Li
Journal of Applied Analysis & Computation
Numerical methods for differential equations
article

MAXIMUM ERROR ESTIMATES OF DISCONTINUOUS GALERKIN METHODS FOR SOLVING NEUTRAL DELAY DIFFERENTIAL EQUATIONS

Hongyu Qin, Fengyan Wu, Yuanyuan Li
article en

Abstract

The exact solution to a neutral delay differential equation is generally non-smooth. Some possible loss of accuracy is usually found if certain high-order numerical methods are applied. The discontinuous Galerkin (DG) methods are introduced to numerically solve neutral delay differential equations so as to handle the difficulties. Maximum error estimates of the numerical method is investigated. Theoretical results indicate that the ${p}$-degree DG approximate solution has an accuracy of ${p}$-th order. Numerical experiments are presented to confirm the effectiveness and performance of the DG methods.

Journal of Applied Analysis & ComputationVol. 15(4)
Openalex Percentile: Top 78%
Numerical methods for differential equations
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