Adomian多项式的计算及其在整数阶和分数阶非线性微分方程中的应用

讨论分数阶微分方程和Adomian分解方法的应用.首先,回顾Adomian多项式的几种新的快速算法,包括单变量和多变量Adomian多项式.然后,讨论Rach-Adomian-Meyers修正分解方法、多级分解法和收敛加速概念,包括对角Pade近似和迭代Shanks变换.最后,研究Adomian分解法、修正分解法和收敛加速技术在分数阶微分方程求解中的应用.方法给出了容易计算、容易验证和迅速收敛的解析近似解序列.     

Adomian分解法求解非线性分数阶Fredholm积分微分方程

为了求解一类非线性分数阶Fredholm积分微分方程的数值解,本文将Adomian分解法(Adomian Decomposition Method,ADM)引入到非线性分数阶Fredholm微积分方程的求解中.将ADM多项式与分数阶积分定义有效结合,得到Adomian级数解.通过收敛性分析证明所得的级数解收敛于精确解,给出最大绝对截断误差.并结合实例,证明方法的有效性和实用性.     

联合Duffing方程和Van der Pol方程的非线性分数阶微分方程

本文研究了Adomian分解方法在非线性分数阶微分方程求解中的应用. 利用Riemann-Liouville分数阶导数和Adomian分解方法, 将Duffing方程和Van der Pol方程联合在一个分数阶方程中,并获得了此方程的解析近似解.     

Legendre多项式法求一类变阶数分数阶微分方程数值解

本文利用Legendre多项式求解一类变分数阶微分方程.结合Legendre多项式,给出三种不同类型的微分算子矩阵.通过微分算子矩阵,将原方程转化一系列矩阵的乘积.最后离散变量,将矩阵的乘积转化为代数方程组,通过求解方程组,从而得到原方程的数值解.数值算例验证了本方法的高度可行性和准确性.     

利用Block-Pulse函数求解分数阶泊松方程数值解

借助于二维Block-Pulse函数求解分数阶泊松方程的数值解,并讨论了Dirichlet边界条件,方法是基于Block-Pulse函数的定义及性质,并结合相应的分数阶微分算子矩阵将原问题转化为含有未知变量的代数方程组,进而离散未知变量,求得原问题的数值解.而且还对所提方法进行了误差分析,最后给出的数值算例也验证了所提算法的有效性及可行性.     

Conformable分数阶单机无穷大电力系统分岔与混沌研究

基于Conformable分数阶微分定义和Adomian分解算法,设计了Conformable分数阶非线性系统半解析解算法和Lyapunov指数谱算法.采用Lyapunov指数谱、分岔图和吸引子相图分析了Conformable分数阶单机无穷大电力系统中的分岔与混沌现象,揭示了系统状态随参数和微分阶数变化时的规律以及系统走向混沌的道路.Matlab仿真数值模拟结果表明:Conformable分数阶单机无穷大电力系统的动力学特征丰富,系统产生混沌的最小阶数为0.41,系统初值的改变直接影响系统状态,并发现了多涡卷混沌吸引子和共存吸引子,功角失稳是产生多涡卷吸引子的根本原因.研究结果表明了求解算法的有效性与Conformable分数阶单机无穷大电力系统动力学特性的丰富性.     

基于Adomian分解法的分数阶Bao混沌系统动力学分析与电路实现

采用Adomian分解法从分数阶(0.9阶)Bao系统的混沌相图、分岔图、最大Lyapunov指数(MLE)以及SE与CO复杂度等数值仿真分析研究了该系统复杂的动力学特性.又基于整数阶混沌电路的设计方法,设计了硬件电路,实现了该分数B ao混沌系统,最后,观测示波器电路实验结果与理论分析结果相一致,从而进一步揭示了此类分数阶过渡混沌系统的可实现性与混沌特性.     

Riemann—Liouville型分数阶微分方程的微分变换方法

本文在Riemann-Liouville分数阶导数的广义Taylor公式的基础上,建立了求解Riemann-Liouville型分数阶微分方程的微分变换方法.本文所建立的基于Riemann-Liouville分数阶导数微分变换方法给求解Riemann-Liouville分数阶导数的微分方程提供了一种新工具。     

非线性随机分数阶微分方程Euler方法的弱收敛性

论文首先证明了非线性随机分数阶微分方程解的存在唯一性,然后构造了数值求解该方程的Euler方法,并证明了当方程满足一定约束条件时,该方法是弱收敛的.特别地,当分数阶α=0时,该方程退化为非线性随机微分方程,所获结论与现有文献中的相关结论是一致的;当α≠0,且初值条件为齐次时,所获结论可视为现有文献中线性随机分数阶微分方...     

向一类特殊集合进行投影的无迭代式精确解算法

决策变量之和为定值且各分量具有上下界的特殊集合广泛出现在各种实际优化问题中.在求解相关优化问题时往往需要反复向上述的决策变量约束集合进行投影,即反复求解一个内嵌的二次规划问题.为了提高相关优化算法的计算效率,快速实现上述投影就成为问题的关键.针对上述投影,提出了一种精确求解算法.通过代数变幻和概念替换,上述投影问题等价...     

Numerical approach to differential equations of fractional order

In this paper, the variational iteration method and the Adomian decomposition method are implemented to give approximate solutions for linear and nonlinear systems of differential equations of fractional order. The two methods in applied mathematics can be used as alternative methods for obtaining analytic and approximate solutions for different types of differential equations. In these schemes, the solution takes the form of a convergent series with easily computable components. This paper presents a numerical comparison between the two methods for solving systems of fractional differential equations. Numerical results show that the two approaches are easy to implement and accurate when applied to differential equations of fractional order.     

Numerical comparison of methods for solving linear differential equations of fractional order

In this article, we implement relatively new analytical techniques, the variational iteration method and the Adomian decomposition method, for solving linear differential equations of fractional order. The two methods in applied mathematics can be used as alternative methods for obtaining analytic and approximate solutions for different types of fractional differential equations. In these schemes, the solution takes the form of a convergent series with easily computable components. This paper will present a numerical comparison between the two methods and a conventional method such as the fractional difference method for solving linear differential equations of fractional order. The numerical results demonstrates that the new methods are quite accurate and readily implemented.     

Sine‐cosine wavelet method for fractional oscillator equations

Purpose In this article, a novel computational method is introduced for solving the fractional nonlinear oscillator differential equations on the semi‐infinite domain. The purpose of the proposed method is to get better and more accurate results. Design/methodology/approach The proposed method is the combination of the sine‐cosine wavelets and Picard technique. The operational matrices of fractional‐order integration for sine‐cosine wavelets are derived and constructed. Picard technique is used to convert the fractional nonlinear oscillator equations into a sequence of discrete fractional linear differential equations. Operational matrices of sine‐cosine wavelets are utilized to transformed the obtained sequence of discrete equations into the systems of algebraic equations and the solutions of algebraic systems lead to the solution of fractional nonlinear oscillator equations. Findings The convergence and supporting analysis of the method are investigated. The operational matrices contains many zero entries, which lead to the high efficiency of the method, and reasonable accuracy is achieved even with less number of collocation points. Our results are in good agreement with exact solutions and more accurate as compared with homotopy perturbation method, variational iteration method, and Adomian decomposition method. Originality/value Many engineers can utilize the presented method for solving their nonlinear fractional models.     

Analytical solution of the linear fractional differential equation by Adomian decomposition method

In this paper, we consider the n-term linear fractional-order differential equation with constant coefficients and obtain the solution of this kind of fractional differential equations by Adomian decomposition method. With the equivalent transmutation, we show that the solution by Adomian decomposition method is the same as the solution by the Green's function. Finally, we illustrate our result with some examples.     

Near-field and far-field approximations by the Adomian and asymptotic decomposition methods

The Adomian decomposition method and the asymptotic decomposition method give the near-field approximate solution and far-field approximate solution, respectively, for linear and nonlinear differential equations. The Padé approximants give solution continuation of series solutions, but the continuation is usually effective only on some finite domain, and it can not always give the asymptotic behavior as the independent variables approach infinity. We investigate the global approximate solution by matching the near-field approximation derived from the Adomian decomposition method with the far-field approximation derived from the asymptotic decomposition method for linear and nonlinear differential equations. For several examples we find that there exists an overlap between the near-field approximation and the far-field approximation, so we can match them to obtain a global approximate solution. For other nonlinear examples where the series solution from the Adomian decomposition method has a finite convergent domain, we can match the Padé approximant of the near-field approximation with the far-field approximation to obtain a global approximate solution representing the true, entire solution over an infinite domain.     

Numerical methods for nonlinear partial differential equations of fractional order

In this article, we implement relatively new analytical techniques, the variational iteration method and the Adomian decomposition method, for solving nonlinear partial differential equations of fractional order. The fractional derivatives are described in the Caputo sense. The two methods in applied mathematics can be used as alternative methods for obtaining analytic and approximate solutions for different types of fractional differential equations. In these schemes, the solution takes the form of a convergent series with easily computable components. Numerical results show that the two approaches are easy to implement and accurate when applied to partial differential equations of fractional order.     

Variational iteration method for fractional heat- and wave-like equations

This paper applies the variational iteration method to obtaining analytical solutions of fractional heat- and wave-like equations with variable coefficients. Comparison with the Adomian decomposition method shows that the VIM is a powerful method for the solution of linear and nonlinear fractional differential equations.     

Adomian decomposition method for solution of differential-algebraic equations

Solutions of differential algebraic equations is considered by Adomian decomposition method. In E. Babolian, M.M. Hosseini [Reducing index and spectral methods for differential-algebraic equations, J. Appl. Math. Comput. 140 (2003) 77] and M.M. Hosseini [An index reduction method for linear Hessenberg systems, J. Appl. Math. Comput., in press], an efficient technique to reduce index of semi-explicit differential algebraic equations has been presented. In this paper, Adomian decomposition method is applied to reduced index problems. The scheme is tested for some examples and the results demonstrate reliability and efficiency of the proposed methods.     

Rational approximation solution of the fractional Sharma–Tasso–Olever equation

In the paper, we implement relatively new analytical techniques, the variational iteration method, the Adomian decomposition method and the homotopy perturbation method, for obtaining a rational approximation solution of the fractional Sharma–Tasso–Olever equation. The three methods in applied mathematics can be used as alternative methods for obtaining an analytic and approximate solution for different types of differential equations. In these schemes, the solution takes the form of a convergent series with easily computable components. The numerical results demonstrate the significant features, efficiency and reliability of the three approaches.