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Two efficient computational technique for fractional nonlinear Hirota-Satsuma coupled KdV equations

机译:分数非线性Hirota-Satsuma耦合KDV方程的两种有效计算技术

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摘要

Purpose The purpose of this paper is to apply an efficient hybrid computational numerical technique, namely, q-homotopy analysis Sumudu transform method (q-HASTM) and residual power series method (RPSM) for finding the analytical solution of the non-linear time-fractional Hirota-Satsuma coupled KdV (HS-cKdV) equations. Design/methodology/approach The proposed technique q-HASTM is the graceful amalgamations of q-homotopy analysis method with Sumudu transform via Caputo fractional derivative, whereas RPSM depend on generalized formula of Taylors series along with residual error function. Findings To illustrate and validate the efficiency of the proposed technique, the authors analyzed the projected non-linear coupled equations in terms of fractional order. Moreover, the physical behavior of the attained solution has been captured in terms of plots and by examining theL(2)andL(infinity)error norm for diverse value of fractional order. Originality/value The authors implemented two technique, q-HASTM and RPSM to obtain the solution of non-linear time-fractional HS-cKdV equations. The obtained results and comparison between q-HASTM and RPSM, shows that the proposed methods provide the solution of non-linear models in form of a convergent series, without using any restrictive assumption. Also, the proposed algorithm is easy to implement and highly efficient to analyze the behavior of non-linear coupled fractional differential equation arisen in various area of science and engineering.
机译:目的本文的目的是应用一种高效的混合计算数值技术,即Q-同型分析Sumudu变换方法(Q-Hastm)和残留功率串联方法(RPSM),用于找到非线性时间的分析解决方案 - 分数hirota-satsuma耦合KDV(HS-CKDV)方程。设计/方法/方法提出的技术Q-Hastm是通过Caputo分数衍生物与Sumudu变换的Q-同型分析方法的正常合并,而RPSM依赖于泰勒序列的广义式以及残留误差函数。研究者在分数顺序方面分析了所提出的技术的效率,分析了预计的非线性耦合方程。此外,达到了达到的解决方案的物理行为已经在图方面捕获,并通过检查Thel(2)andl(Infinity)误差范数以获得分数阶的不同价值。原始性/值作者实现了两种技术,Q-Hastm和RPSM,以获得非线性时间分数HS-CKDV方程的解决方程。 Q-Hastm和RPSM之间获得的结果和比较表明,所提出的方法在不使用任何限制性假设的情况下,提供了换气系列的非线性模型的解决方案。此外,所提出的算法易于实现,高效地分析了科学和工程领域中出现的非线性耦合分数微分方程的行为。

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