2018
DOI: 10.17654/de019030275
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Development of a Nonlinear Hybrid Numerical Method

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Cited by 17 publications
(14 citation statements)
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“…The logarithm of absolute errors for the solutions obtained is compared with other methods discussed in [12] as given in Figure 4.…”
Section: Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…The logarithm of absolute errors for the solutions obtained is compared with other methods discussed in [12] as given in Figure 4.…”
Section: Problemmentioning
confidence: 99%
“…Since rational functions are more appropriate for the representation of functions close to singularities than polynomials, the limitation is overcome by a local representation of the theoretical solution with a rational expression. Interestingly, this approach appears to be promising as several methods are now being constructed in this direction [6] [12] showed that solution around singularity point are well approximated by this approach. In this work, an explicit single-step nonlinear method involving higher derivatives of the state function for solving (1) is presented.…”
Section: Introductionmentioning
confidence: 99%
“…It is challenging to find the exact solution of differential equation‐based models in various situations, mainly when the problem is either nonlinear, stiff, singular, or singularly perturbed. In these conditions, we move toward the nonlinear, trigonometrically‐fitted, Runge–Kutta collocation, and BDF‐type Chebyshev numerical methods 17‐24 . After being motivated with research works recently carried out for devising or modifying nonlinear numerical methods that are suitable for stiff and singular IVPs, we attempt to derive a new family of nonlinear methods with second to the fourth‐order of accuracy, and 𝒜 stability feature of the methods is also established.…”
Section: Introductionmentioning
confidence: 99%
“…In certain cases, however, analytical methods are not capable of solving such complicated or complex differential equations. Numerical methods are used to achieve the solution to the complicated differential equations [2,3]. With the help of computer programming, numerical methods are very valuable tools for solving complex problems very quickly.…”
Section: Introductionmentioning
confidence: 99%