2017
DOI: 10.20454/jmmnm.2017.1349
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Second derivative Runge-Kutta collocation methods based on Lobatto nodes for stiff systems

Abstract: Second derivative Runge-Kutta collocation methods for the numerical solution of stiff system of first order initial value problems in ordinary differential equations are derived and studied. The inclusion of the second derivative terms enabled us to derive a set of methods which are convergent with large regions of absolute stability. Although the implementation of the methods remains iterative in a precisely defined way, the advantage gained makes them suitable for solving stiff system of equations with large… Show more

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Cited by 2 publications
(5 citation statements)
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“…Again this points are also to give the zero stability as mentioned by (see, [24]) for accurate solution of the type of equation in (1). Expanding (20) fully, we get the type of continuous scheme in (15) as;…”
Section: The Seventh Order Second Derivative Implicit Block Hybrid Co...mentioning
confidence: 91%
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“…Again this points are also to give the zero stability as mentioned by (see, [24]) for accurate solution of the type of equation in (1). Expanding (20) fully, we get the type of continuous scheme in (15) as;…”
Section: The Seventh Order Second Derivative Implicit Block Hybrid Co...mentioning
confidence: 91%
“…These methods are constructed by introducing some polynomial nodes as interior collocation points and some evaluations of the second derivative g(x, y)in addition to the familiar evaluations of f (x, y). Although, many researchers have successfully derived and applied methods with second derivative evaluations (see, [10,11,12,13,14,15,16]) to mention but only a few examples. In this paper, we derive methods which yield very interesting results when applied to the type of equation in (1), give high order of accuracy within the standard interval of integration, and also behave essentially like one-step method.…”
Section: Introductionmentioning
confidence: 99%
“…3.1.5. Region of Absolute Stability of the NMCFs (Yakubu et al [21], Lambert [37]) Finally, the stability of the NMCFs is examined and discussed using the procedure described in Yakubu et al [21] and Lambert [37].…”
Section: Convergence Of the Nmcfs (Henrici [39] Rufai Et Al [43])mentioning
confidence: 99%
“…Because of the aforementioned applications, various numerical techniques for solving various application problems, such as time-frequency analysis, signal delay, convection-diffusion equations, nonlinear approximation, and Monte Carlo simulation, arising in fluid dynamics problems have been developed. For instance, predictor-corrector techniques (Su et al [11], Awoyemi and Idowu [12], Iskandarov and Komartsova [13], Ashry et al [14], Asif [15]); Galerkin methods (Guo et al [16]); Haar wavelets methods (Aziz and Khan [17], Shiralashetti et al [18], Saparova et al [19]); Runge-Kutta methods (Takei and Iwata [20], Yakubu et al [21], Zhao and Huang [22]); Newtral network model (Mall and Chakraverty [23]); multigrid technique (Ghaffar et al [24], Ge [25], Gupta et al [26]); finite difference methods (Mulla et al [27]); and finite element methods (Harari and Hughes [28]).…”
Section: Introductionmentioning
confidence: 99%
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