Abstract:This paper describes a third-derivative hybrid multistep technique (TDHMT) for solving second-order initial-value problems (IVPs) with oscillatory and periodic problems in ordinary differential equations (ODEs), the coefficients of which are independent of the frequency
omega
and step size
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“…The function (17) has coefficients that are the first derivative of ( 10) and (11), which are as follows,…”
Section: Plos Onementioning
confidence: 99%
“…Partial Differential Equations (PDEs) are a useful tool for the mathematical expression of many natural phenomena and are useful in the solution of physical and other issues requiring functions of several variables. The transmission of heat/sound, fluid movement, turbulent flow, heat transfer analysis, elasticity, electrostatics, and electrodynamics are a few examples of these issues; see Ahsan et al [ 1 ], Wang and Guo [ 2 ], Arif et al [ 3 , 4 ], Adoghe et al [ 5 ], Nawaz et al [ 6 ], Animasaun et al [ 7 ], Devnath et al [ 8 ], Ahsan et al [ 9 ], Wang et al [ 10 ], Rufai et al [ 11 ], Nawaz and Arif [ 12 ], Ramakrishna et al [ 13 ], El Misilmani et al [ 14 ]). According to Quarteroni and Valli [ 15 ], numerical approximation techniques for partial differential equations (PDEs) constitute a cornerstone in diverse scientific and engineering disciplines.…”
In the era of computational advancements, harnessing computer algorithms for approximating solutions to differential equations has become indispensable for its unparalleled productivity. The numerical approximation of partial differential equation (PDE) models holds crucial significance in modelling physical systems, driving the necessity for robust methodologies. In this article, we introduce the Implicit Six-Point Block Scheme (ISBS), employing a collocation approach for second-order numerical approximations of ordinary differential equations (ODEs) derived from one or two-dimensional physical systems. The methodology involves transforming the governing PDEs into a fully-fledged system of algebraic ordinary differential equations by employing ISBS to replace spatial derivatives while utilizing a central difference scheme for temporal or y-derivatives. In this report, the convergence properties of ISBS, aligning with the principles of multi-step methods, are rigorously analyzed. The numerical results obtained through ISBS demonstrate excellent agreement with theoretical solutions. Additionally, we compute absolute errors across various problem instances, showcasing the robustness and efficacy of ISBS in practical applications. Furthermore, we present a comprehensive comparative analysis with existing methodologies from recent literature, highlighting the superior performance of ISBS. Our findings are substantiated through illustrative tables and figures, underscoring the transformative potential of ISBS in advancing the numerical approximation of two-dimensional PDEs in physical systems.
“…The function (17) has coefficients that are the first derivative of ( 10) and (11), which are as follows,…”
Section: Plos Onementioning
confidence: 99%
“…Partial Differential Equations (PDEs) are a useful tool for the mathematical expression of many natural phenomena and are useful in the solution of physical and other issues requiring functions of several variables. The transmission of heat/sound, fluid movement, turbulent flow, heat transfer analysis, elasticity, electrostatics, and electrodynamics are a few examples of these issues; see Ahsan et al [ 1 ], Wang and Guo [ 2 ], Arif et al [ 3 , 4 ], Adoghe et al [ 5 ], Nawaz et al [ 6 ], Animasaun et al [ 7 ], Devnath et al [ 8 ], Ahsan et al [ 9 ], Wang et al [ 10 ], Rufai et al [ 11 ], Nawaz and Arif [ 12 ], Ramakrishna et al [ 13 ], El Misilmani et al [ 14 ]). According to Quarteroni and Valli [ 15 ], numerical approximation techniques for partial differential equations (PDEs) constitute a cornerstone in diverse scientific and engineering disciplines.…”
In the era of computational advancements, harnessing computer algorithms for approximating solutions to differential equations has become indispensable for its unparalleled productivity. The numerical approximation of partial differential equation (PDE) models holds crucial significance in modelling physical systems, driving the necessity for robust methodologies. In this article, we introduce the Implicit Six-Point Block Scheme (ISBS), employing a collocation approach for second-order numerical approximations of ordinary differential equations (ODEs) derived from one or two-dimensional physical systems. The methodology involves transforming the governing PDEs into a fully-fledged system of algebraic ordinary differential equations by employing ISBS to replace spatial derivatives while utilizing a central difference scheme for temporal or y-derivatives. In this report, the convergence properties of ISBS, aligning with the principles of multi-step methods, are rigorously analyzed. The numerical results obtained through ISBS demonstrate excellent agreement with theoretical solutions. Additionally, we compute absolute errors across various problem instances, showcasing the robustness and efficacy of ISBS in practical applications. Furthermore, we present a comprehensive comparative analysis with existing methodologies from recent literature, highlighting the superior performance of ISBS. Our findings are substantiated through illustrative tables and figures, underscoring the transformative potential of ISBS in advancing the numerical approximation of two-dimensional PDEs in physical systems.
“…In last few years, approximate analytical techniques attract attention of many researchers to fnd the approximate solutions of nonlinear PDE's due to their simplicity and easy approach. Series of methods have been established by mathematicians and researchers such as the homotopy perturbation method (HPM) [18,19], homotopy analysis method (HAM) [20][21][22], variational iteration method (VIM) [23][24][25], Adomian decomposition method (ADM) [26][27][28], diferential transform method (DTM) [29][30][31], tanh method (THM) and extended tanh method [32][33][34], use of trigamma function [35], Catalan-type numbers [36], and polynomials [37][38][39]. Traveling wave solutions are also prominent techniques in fnding the closed form of solutions.…”
Allen Cahn (AC) equation is highly nonlinear due to the presence of cubic term and also very stiff; therefore, it is not easy to find its exact analytical solution in the closed form. In the present work, an approximate analytical solution of the AC equation has been investigated. Here, we used the variational iteration method (VIM) to find approximate analytical solution for AC equation. The obtained results are compared with the hyperbolic function solution and traveling wave solution. Results are also compared with the numerical solution obtained by using the finite difference method (FDM). Absolute error analysis tables are used to validate the series solution. A convergent series solution obtained by VIM is found to be in a good agreement with the analytical and numerical solutions.
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