Solving Non‐Linear Parabolic Equations With Distributed Delay by One‐Parameter Linearized Compact ADI Scheme

ABSTRACT This paper presents a novel one‐parameter linearized compact alternating direction implicit (ADI) scheme for solving the 2D and 3D non‐linear parabolic equations with distributed delay, where the ADI technique is used to reduce the computational cost greatly. The unique solvability, error estimates in and norms and stability of the proposed scheme are studied, and it is shown under some appropriate conditions that the scheme is convergent of order two in temporal direction and order four in spatial direction. Some numerical experiments are conducted to validate the theoretical results as well as the effectiveness and accuracy of the derived schemes.

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Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2025-02-06
DOI
https://doi.org/10.1002/num.23172
Primary Topic
Differential Equations and Numerical Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Solving Non‐Linear Parabolic Equations With Distributed Delay by One‐Parameter Linearized Compact ADI Scheme

Zengqiang Tan
Numerical Methods for Partial Differential Equations
Differential Equations and Numerical Methods
article

Solving Non‐Linear Parabolic Equations With Distributed Delay by One‐Parameter Linearized Compact ADI Scheme

Zengqiang Tan
article en

Abstract

ABSTRACT This paper presents a novel one‐parameter linearized compact alternating direction implicit (ADI) scheme for solving the 2D and 3D non‐linear parabolic equations with distributed delay, where the ADI technique is used to reduce the computational cost greatly. The unique solvability, error estimates in and norms and stability of the proposed scheme are studied, and it is shown under some appropriate conditions that the scheme is convergent of order two in temporal direction and order four in spatial direction. Some numerical experiments are conducted to validate the theoretical results as well as the effectiveness and accuracy of the derived schemes.

Numerical Methods for Partial Differential EquationsVol. 41(2)
Wuhan University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 96%
Differential Equations and Numerical Methods
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