〖(2n+9)〗^求解八阶线性边值问题的次多项式逼近方法

Ibrahim Mutawakilu, Nakone Bello, Mustafa Aminu
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引用次数: 0

摘要

边值问题的求解已经采用了Galerking法、配点法和最小求值法,从实际应用的角度来看,上述方法的成功与否几乎取决于基函数的选择。此外,还采用了域分解和变分迭代方法求解bvp,分别计算Adomian多项式和Lagrange乘子。本文提出了一种简单的阶多项式近似解法,当控制方程的连续导数个数为n时,作为上述方法的一种替代方法。该方法首先由控制方程的n次连续导数和边界条件得到在边界点处求值的线性微分方程组。其次,假设了一个近似解,其形式为未知系数的次多项式。为了确定未知系数,将假设解纳入线性微分系统,使其成为唯一可用的带未知数的线性方程组。对n=5 ~ 4个实例进行了验证。从表3.1 - 3.4和图3.1 - 3.4可以看出,数值结果与精确解一致,也优于文献中已有的一些结果。还需要注意的是,该方法的精度可以通过增加n来提高。所有数值计算都使用maple 2016软件进行。
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A 〖(2n+9)〗^thDegree Polynomial Approximation Method for Solving Eight Order Linear Boundary Value Problems
Galerking method, Collocation method and least squired method have been used for solving boundary value problems (BVPs) and from practical point of view almost any success of above mention method depends on the selection of basis functions. Also, Adomain decomposition and variational iteration methods have been applied for the solution of BVPs and required respectively calculating the Adomian’s polynomials and Lagrange multipliers. In this paper a simple method of  Degree polynomial approximation solution were n is number of successive derivatives of the governing equation is suggested as an alternative of the above mentioned methods. The method consists of first obtaining from the governing equation its n successive derivatives and boundary conditions a linear differential system of  equations evaluated at the boundary points. Next, an approximate solution in the form of polynomial of degree  with  unknown coefficients   is assumed. To determine the unknown coefficients, the assumed solution is incorporate into the linear differential system which turns to be a linear system of equation with unknowns which is salvable uniquely. The method is tested for n=5 to four examples. It clear that from tables 3.1 to 3.4 and figures 3.1 to 3.4 the numerical outcomes agree with the exact solution and also better than some existing results in the literatures. it should be also noted that the accuracy of the method can be increased by  increased n.   All Numerical computation were performed using maple 2016 software.
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