A graded mesh refinement approach for boundary layer originated singularly perturbed time‐delayed parabolic convection diffusion problems

K Kumar, PC Podila, P Das… - Mathematical Methods in …, 2021 - Wiley Online Library
In this work, we consider a graded mesh refinement algorithm for solving time‐delayed
parabolic partial differential equations with a small diffusion parameter. The presence of this …

On the approximate solutions of a class of fractional order nonlinear Volterra integro-differential initial value problems and boundary value problems of first kind and …

P Das, S Rana, H Ramos - Journal of Computational and Applied …, 2022 - Elsevier
In this work we consider a class of fractional order Volterra integro-differential equations of
first kind where the fractional derivative is considered in the Caputo sense. Here, we …

Higher order accurate approximations on equidistributed meshes for boundary layer originated mixed type reaction diffusion systems with multiple scale nature

P Das, S Rana, J Vigo-Aguiar - Applied numerical mathematics, 2020 - Elsevier
In the present research, we consider a boundary layer originated system of reaction diffusion
problems whose boundary conditions are of mixed type. This problem is singularly …

A moving mesh refinement based optimal accurate uniformly convergent computational method for a parabolic system of boundary layer originated reaction–diffusion …

D Shakti, J Mohapatra, P Das, J Vigo-Aguiar - Journal of Computational …, 2022 - Elsevier
In this paper, a system of time dependent boundary layer originated reaction dominated
problems with diffusion parameters of different magnitudes, is considered for numerical …

Theoretical prospects of fractional order weakly singular Volterra Integro differential equations and their approximations with convergence analysis

P Das, S Rana - Mathematical Methods in the Applied Sciences, 2021 - Wiley Online Library
In this research, we study a weakly singular Volterra integro differential equation with
Caputo‐type fractional derivative. First, we derive a sufficient condition for the existence and …

A novel finite difference technique with error estimate for time fractional partial integro-differential equation of Volterra type

S Santra, J Mohapatra - Journal of Computational and Applied Mathematics, 2022 - Elsevier
The main purpose of this work is to study the numerical solution of a time fractional partial
integro-differential equation of Volterra type, where the time derivative is defined in Caputo …

Adomian decomposition and homotopy perturbation method for the solution of time fractional partial integro-differential equations

A Panda, S Santra, J Mohapatra - Journal of Applied Mathematics and …, 2022 - Springer
This article deals with two different methods to solve a time fractional partial integro-
differential equation. The fractional derivatives are defined here in Caputo sense. The model …

Parameter uniform optimal order numerical approximations for time-delayed parabolic convection diffusion problems involving two small parameters

S Priyadarshana, J Mohapatra, SR Pattanaik - Computational and Applied …, 2022 - Springer
The purpose of this work is to provide robust numerical scheme for singularly perturbed time
delay (large) convection-reaction-diffusion problem with two small parameters. The work …

Robust numerical method for singularly perturbed semilinear parabolic differential difference equations

MJ Kabeto, GF Duressa - Mathematics and Computers in Simulation, 2021 - Elsevier
This paper deals with the robust numerical method for solving the singularly perturbed
semilinear partial differential equation with the spatial delay. The quadratically convergent …

Uniformly convergent computational method for singularly perturbed time delayed parabolic differential-difference equations

J Mohapatra, S Priyadarshana… - Engineering …, 2023 - emerald.com
Purpose The purpose of this work is to introduce an efficient, global second-order accurate
and parameter-uniform numerical approximation for singularly perturbed parabolic …