2018
DOI: 10.1080/00207160.2018.1519552
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An exponentially fitted numerical technique for singularly perturbed Burgers-Fisher equation on a layer adapted mesh

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Cited by 7 publications
(4 citation statements)
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“…As observed from the table, the IELTDM offers more accurate numerical results with far fewer dof. Even the problem behaves highly stiff with D1, the IELDTM produces highly accurate results instead of the FEM presented in (Sangwan and Kaur, 2019). Advection-dominated cases of Burgers–Fisher equation with DV are highly challenging due to the sharp behaviours of the solutions.…”
Section: Numerical Experimentsmentioning
confidence: 99%
See 1 more Smart Citation
“…As observed from the table, the IELTDM offers more accurate numerical results with far fewer dof. Even the problem behaves highly stiff with D1, the IELDTM produces highly accurate results instead of the FEM presented in (Sangwan and Kaur, 2019). Advection-dominated cases of Burgers–Fisher equation with DV are highly challenging due to the sharp behaviours of the solutions.…”
Section: Numerical Experimentsmentioning
confidence: 99%
“…The present IELDTM and the FEM solutions (Sangwan and Kaur, 2019) have been compared in the presence of weak advection and reaction effects with various values of diffusion coefficient D in Table 3. As observed from the table, the IELTDM offers more accurate numerical results with far fewer dof.…”
Section: Numerical Experimentsmentioning
confidence: 99%
“…The development of inbound tourism is conducive to the industrial transformation of the region. It promotes the industrial transfer of the three significant east, middle and west areas to achieve coordinated regional development [2].…”
Section: Introductionmentioning
confidence: 99%
“…We make ∥υ∥ 2 Z,n = max tn ≤ t ≤ t n+1 ∥υ(t)∥ Z , where Z = X (or Y) I n ⊆ J. For s, m = 0, 1, • • • and υ ∈ H m (Ω), we define the discrete norm ∥h s n υ∥ m,h = (∑ r∈T n h h 2s τ ∥υ∥ 2 m,τ ) 1 2 . Let u(0, x) = u 0 (x) have the following equation:…”
Section: Introductionmentioning
confidence: 99%