“…From the works in [2,3,4], for the parameter, , 1 ε = the solution for Eq. (2.2), is given by: ( , ) ( )exp( ).…”
Section: Formulation Of the Numerical Schemementioning
confidence: 99%
“…Following the works by Kabeto, and Duressa [2][3][4], to linearize Eq. (2.1), by applying the quasilinearization technique on the nonlinear term, for the reasonable initial guess of the form of Eq.…”
Section: Formulation Of the Numerical Schemementioning
confidence: 99%
“…In this section, we have chosen two model examples of singularly perturbed Burger-Huxley equations, since they have been widely discussed in the literature to validate our theoretical results. The maximum absolute errors are calculated by the double mesh principle [2][3][4], which is given by:…”
Section: Numerical Illustrationsmentioning
confidence: 99%
“…We need approximations since we either cannot solve analytically or the exact method is intractable. Hence, researchers are working on the solution methodologies of singularly perturbed Burger-Huxley equations, [4,5]. Thus, researchers tried to develop different methods to solve these equations that served as a ground to get prior knowledge and the limitations of the existing methods.…”
Section: Introductionmentioning
confidence: 99%
“…Further, the concerned researcher can find a real-time application of the modeled problem of Eq. (1.1) and its analytical properties such as the existence, stability, and boundness of the solutions in the literature [1][2][3][4][5][6]…”
The main purpose of this work is to present an accurate computational approach for solving the singularly perturbed Burger-Huxley equations. The quasilinearization technique linearizes the nonlinear term of the differential equation. The finite difference approximation is formulated to approximate the derivatives in the differential equations and then accelerate its rate of convergence to improve the accuracy of the solution. Numerical experiments were conducted to sustain the theoretical results and to show that the presented method produces a more correct solution than some surviving methods in the literature.
“…From the works in [2,3,4], for the parameter, , 1 ε = the solution for Eq. (2.2), is given by: ( , ) ( )exp( ).…”
Section: Formulation Of the Numerical Schemementioning
confidence: 99%
“…Following the works by Kabeto, and Duressa [2][3][4], to linearize Eq. (2.1), by applying the quasilinearization technique on the nonlinear term, for the reasonable initial guess of the form of Eq.…”
Section: Formulation Of the Numerical Schemementioning
confidence: 99%
“…In this section, we have chosen two model examples of singularly perturbed Burger-Huxley equations, since they have been widely discussed in the literature to validate our theoretical results. The maximum absolute errors are calculated by the double mesh principle [2][3][4], which is given by:…”
Section: Numerical Illustrationsmentioning
confidence: 99%
“…We need approximations since we either cannot solve analytically or the exact method is intractable. Hence, researchers are working on the solution methodologies of singularly perturbed Burger-Huxley equations, [4,5]. Thus, researchers tried to develop different methods to solve these equations that served as a ground to get prior knowledge and the limitations of the existing methods.…”
Section: Introductionmentioning
confidence: 99%
“…Further, the concerned researcher can find a real-time application of the modeled problem of Eq. (1.1) and its analytical properties such as the existence, stability, and boundness of the solutions in the literature [1][2][3][4][5][6]…”
The main purpose of this work is to present an accurate computational approach for solving the singularly perturbed Burger-Huxley equations. The quasilinearization technique linearizes the nonlinear term of the differential equation. The finite difference approximation is formulated to approximate the derivatives in the differential equations and then accelerate its rate of convergence to improve the accuracy of the solution. Numerical experiments were conducted to sustain the theoretical results and to show that the presented method produces a more correct solution than some surviving methods in the literature.
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