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Numerical solution of KdV equation using modified Bernstein polynomials

机译:修正Bernstein多项式KdV方程的数值解。

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Here we present an algorithm for approximating numerical solution of Korteweg-de Vries (KdV) equation in a modified B-polynornial basis. A set of continuous polynomials over the spatial domain is used to expand the desired solution requiring discretization with only the time variable. Galerkin method is used to determine the expansion coefficients to construct initial trial functions. For the time variable, the system of equations is solved Using fourth-order Runge-Kutta method. The accuracy of the solutions is dependent on the size of the B-polynornial basis set. We have presented our numerical result with an exact analytical result. Excellent agreement is found between exact and approximate solutions. This procedure has a potential to be used in more complex system of differential equations where no exact solution is available. (c) 2005 Elsevier Inc. All rights reserved.
机译:在这里,我们提出了一种在改进的B多项式基础上逼近Korteweg-de Vries(KdV)方程数值解的算法。使用空间域上的一组连续多项式来扩展所需解,而只需要离散化时间变量即可。用Galerkin方法确定膨胀系数以构造初始试验函数。对于时间变量,使用四阶Runge-Kutta方法求解方程组。解决方案的准确性取决于B多项式基础集的大小。我们用精确的分析结果给出了数值结果。在精确和近似解决方案之间找到了极好的协议。此过程有可能用于更复杂的微分方程组,其中没有精确的解决方案。 (c)2005 Elsevier Inc.保留所有权利。

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