Adaptive Mesh Generation and a Higher-Order Hybrid Approximation to Time-Dependent Singularly Perturbed Reaction–Diffusion Equations

Abstract This paper introduces a novel hybrid difference approximation for solving time-dependent reaction–diffusion problems with shifts and integral boundary conditions. The problem is singularly perturbed, and its solution exhibits multiscale behavior. The approach uses a backward difference discretization in time on a uniform mesh. A key feature is the generation of an adaptive moving mesh, partitioning the spatial domain to leverage the strengths of different discretization methods. It combines a cubic spline difference method within the boundary layer region and an exponential spline difference method in the outer layer region. The mesh is generated using the equidistribution principle. This approach enhances the accuracy of numerical solutions while maintaining computational efficiency. The paper also provides a thorough theoretical analysis and numerical results for four model problems. Numerical experiments confirm parameter uniform convergence and support the theoretical outcomes.

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Publication Details

Journal
Journal of Computational and Nonlinear Dynamics
Published
2025-11-26
DOI
https://doi.org/10.1115/1.4070494
Primary Topic
Differential Equations and Numerical Methods
Type
article
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article

Adaptive Mesh Generation and a Higher-Order Hybrid Approximation to Time-Dependent Singularly Perturbed Reaction–Diffusion Equations

Manju Sharma, Aditya Kaushik, Mamta Godara
Journal of Computational and Nonlinear Dynamics
Differential Equations and Numerical Methods
article

Adaptive Mesh Generation and a Higher-Order Hybrid Approximation to Time-Dependent Singularly Perturbed Reaction–Diffusion Equations

Manju Sharma, Aditya Kaushik, Mamta Godara
article en

Abstract

Abstract This paper introduces a novel hybrid difference approximation for solving time-dependent reaction–diffusion problems with shifts and integral boundary conditions. The problem is singularly perturbed, and its solution exhibits multiscale behavior. The approach uses a backward difference discretization in time on a uniform mesh. A key feature is the generation of an adaptive moving mesh, partitioning the spatial domain to leverage the strengths of different discretization methods. It combines a cubic spline difference method within the boundary layer region and an exponential spline difference method in the outer layer region. The mesh is generated using the equidistribution principle. This approach enhances the accuracy of numerical solutions while maintaining computational efficiency. The paper also provides a thorough theoretical analysis and numerical results for four model problems. Numerical experiments confirm parameter uniform convergence and support the theoretical outcomes.

Journal of Computational and Nonlinear DynamicsVol. 21(4)
Guru Gobind Singh Indraprastha University (IN), University of Delhi (IN), Indraprastha Institute of Information Technology Delhi (IN), Delhi Technological University (IN)
Openalex Percentile: Top 50%
Differential Equations and Numerical Methods
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