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.     

分数阶积分微分方程的近似解

本文给出了分数阶积分微分方程的一种新的解法.利用未知函数的泰功多项式展开将分数阶积分微分方程近拟转化为一个涉及未知函数及其n阶导数的线性方程组.数值例子表明该方法的有效性.     

非线性分数阶微分方程的奇摄动

研究了—类奇摄动非线性分数阶微分方程Cauchy问题．在适当的条件下,首先求出了原问题的外部解,然后利用伸长变量、合成展开法和幂级数展开理论构造出解的初始层项,并由此得到解的形式渐近展开式．最后利用微分不等式理论,讨论了问题解的渐近性态,得到了原问题解的一致有效的渐近估计式．     

非线性分数阶时滞微分方程的奇摄动

本文研究一类非线性分数阶时滞微分方程的奇摄动.利用伸长变量法构造了问题的形式渐近解,并利用微分不等式理论证明了解的一致有效性.     

分数阶常微分方程的改进精细积分法

基于Mittag-Leffler函数的定义式,构造Mittag-Leffler矩阵函数的精细迭代计算格式.与常规指数函数的迭代格式相比,迭代递推中多了修正项,其表达式与分数阶导数的阶次有关.对于以Caputo分数导数定义的动力学分数阶常微分方程,使用基于Mittag-Leffler函数的精细积分法可计算方程解在各时间段端点对应函数值.算例表明了所提计算方法的有效性,其精度可由所增加修正项的阶次控制.     

分数阶常微分方程迭代方法的解

通过采用分数阶积分与导数的复合,把分数阶常微分方程转化为积分方程.构造出迭代格式,证明它的收敛性,进一步给出近似解的误差估计.并给出数值例子.     

一类非线性奇摄动分数阶微分方程的渐近解

研究了一类奇摄动非线性分数阶微分方程边值问题.在适当的条件下,首先求出了原问题的外部解,然后利用伸长变量、合成展开法和幂级数展开理论构造出解的边界层项,并由此得到解的渐近展开式.最后利用微分不等式理论,讨论了问题解的渐近性态,得到了原问题解的一致有效的渐近估计式.     

基于拟Legendre多项式求解一类分数阶微分方程

本文基于移位的Legendre多项式构造一类新的正交拟Legendre多项式求解一类分数阶微分方程.用阶数随所求未知函数的微分的阶数而变化的拟Legendre多项式逼近未知函数;利用分数阶积分的性质推导拟Legendre多项式的积分算子阵,结合算子矩阵的思想和Tau方法,将问题转化为求解代数方程组的问题.最后,给出数值算例证明该方法的有效性.     

求解分数阶延迟微分方程的卷积Runge-Kutta方法

本文利用强A-稳定Runge-Kutta方法求解一类非线性分数阶延迟微分方程初值问题,并给出了算法的稳定性和误差分析.数值算例验证算法的有效性及其相关理论结果.     

一类n阶非线性常微分方程周期解的存在性

本文通过应用拓扑度的方法,获得了一类n阶非线性常微分方程2π周期解 存在性的若干结论.     

Efficient Mittag-Leffler Collocation Method for Solving Linear and Nonlinear Fractional Differential Equations

In this paper, a new approximation method for fractional differential equations based on Mittag-Leffler function is developed. Finite Mittag-Leffler function and its fractional-order derivatives are investigated. An efficient technique for solving linear and nonlinear fractional order differential equations is developed. The proposed method combines Mittag-Leffler collocation method and optimization technique. Error estimation of the approximation is stated and proved. We present numerical results and comparisons of previous treatments to demonstrate the efficiency and applicability of the proposed method. Making use of small number of unknowns, the resulting solution converges to the exact one in the linear case and it has a very small error in the nonlinear case.     

A Generalized Smoother for Linear Ordinary Differential Equations

Ordinary differential equations (ODEs) are equalities involving a function and its derivatives that define the evolution of the function over a prespecified domain. The applications of ODEs range from simulation and prediction to control and diagnosis in diverse fields such as engineering, physics, medicine, and finance. Parameter estimation is often required to calibrate these theoretical models to data. While there are many methods for estimating ODE parameters from partially observed data, they are invariably subject to several problems including high computational cost, complex estimation procedures, biased estimates, and large sampling variance. We propose a method that overcomes these issues and produces estimates of the ODE parameters that have less bias, a smaller sampling variance, and a 10-fold improvement in computational efficiency. The package GenPen containing the Matlab code to perform the methods described in this article is available online.     

Mobius Transforms for Linear Ordinary Differential Equations

The Mobius transforms for linear ordinary differential equations of the second order are examined. It is shown that this transform has some quasi-isospectral properties. Solutions of the Heun equation with one apparent singularity are constructed. Bibliography: 15 titles. __________ Translated from Zapiski Nauchnykh Seminarov POMI, Vol. 308, 2004, pp. 67–88.     

The Least Square Method for Systems of Linear Ordinary Differential Equations

Computational Mathematics and Mathematical Physics - Some techniques for applying the least square method to solve boundary value problems for overdetermined systems of linear ordinary differential...     

The Finite Difference Methods for Fractional Ordinary Differential Equations

Fractional finite difference methods are useful to solve the fractional differential equations. The aim of this article is to prove the stability and convergence of the fractional Euler method, the fractional Adams method and the high order methods based on the convolution formula by using the generalized discrete Gronwall inequality. Numerical experiments are also presented, which verify the theoretical analysis.