2018
DOI: 10.1007/s12190-018-1174-z
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A parameter-uniform numerical scheme for the parabolic singularly perturbed initial boundary value problems with large time delay

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Cited by 44 publications
(30 citation statements)
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“…Now we give some basic results on the solution of the problem (2.1). The proof of the following maximum principle can be seen in [11].…”
Section: Problem Statementmentioning
confidence: 99%
See 1 more Smart Citation
“…Now we give some basic results on the solution of the problem (2.1). The proof of the following maximum principle can be seen in [11].…”
Section: Problem Statementmentioning
confidence: 99%
“…SP‐DDEs arise in various practical phenomena, such as biological and chemical reactions, population growth [9], epidemiology [10]. A mathematical model [11] for a class of deterministic SP‐PDE includes the following logistic equation (wϵ(x,t))t=ϵ(wϵ(x,t))italicxx+wϵfalse(x,tfalse)false(1wϵfalse(x,tτfalse)false), which arises in mathematical ecology for the evolution of a population with density w ϵ ( x , t ).…”
Section: Introductionmentioning
confidence: 99%
“…Since the barycentric interpolation collocation method is not appropriate for the solution of SPPDEs for the delay, so Wang et al proposed a modified version of the barycentric interpolation collocation method. Recently, Kumar and Kumari proposed a parameter‐uniform numerical scheme comprising the Crank–Nicolson finite difference method consisting of a midpoint upwind scheme for the parabolic singularly perturbed IBVP for PDEs with large time delay. They have shown that the proposed difference scheme is second‐order accurate in time and almost first‐order accurate in the space.…”
Section: Problem Statement: Preliminariesmentioning
confidence: 99%
“…The global error is the measure of the contribution of the local error estimate at each time step and is given by E j = u ( x , t j ) − U ( x , t j ).Theorem The global error estimate at t j is given by EjCΔt,jT/Δt. Proof For the proof, the readers are referred to .…”
Section: Numerical Scheme: the Discretizationmentioning
confidence: 99%
“…To solve SPPPDEs, Salama and AI-Amery (2017) discretized the time derivative using the Crank-Nicolson scheme and proposed a fourth-order compact scheme to solve the resulting system of ordinary differential equations. Kumar and Kumari (2019) proposed a stable numerical method comprising the Crank-Nicolson method and a midpoint upwind finite difference method on a piecewise uniform mesh. The method was shown unconditionally stable and parameter uniform convergent of order two in the temporal direction and of order one in spatial direction.…”
Section: Introductionmentioning
confidence: 99%