2022
DOI: 10.3390/math10132254
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A New Parameter-Uniform Discretization of Semilinear Singularly Perturbed Problems

Abstract: In this paper, we present a numerical approach to solving singularly perturbed semilinear convection-diffusion problems. The nonlinear part of the problem is linearized via the quasilinearization technique. We then design and implement a fitted operator finite difference method to solve the sequence of linear singularly perturbed problems that emerges from the quasilinearization process. We carry out a rigorous analysis to attest to the convergence of the proposed procedure and notice that the method is first-… Show more

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Cited by 4 publications
(3 citation statements)
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“…Kumar et al [20] considered highorder convergent methods for singularly perturbed quasilinear problems with integral boundary conditions. Munyakazi and Kehinde [21] suggest a new parameter-uniform discretization of semilinear singularly perturbed problems. The concepts of existence and uniqueness can be examined to find solutions for such problems [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…Kumar et al [20] considered highorder convergent methods for singularly perturbed quasilinear problems with integral boundary conditions. Munyakazi and Kehinde [21] suggest a new parameter-uniform discretization of semilinear singularly perturbed problems. The concepts of existence and uniqueness can be examined to find solutions for such problems [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…This type of problem shares the basic behavior of singularly perturbed reaction–diffusion boundary value problem. Authors in [ 23 ] presented a numerical approach to solving singularly perturbed semilinear convection–diffusion problems. The nonlinear part of the problem is linearized via the quasilinearization technique.…”
Section: Introductionmentioning
confidence: 99%
“…In the paper [22], the authors present a numerical approach to solving singularly perturbed semilinear convection-diffusion problems. The nonlinear part of the problem is linearized via the quasilinearization technique.…”
mentioning
confidence: 99%