首页> 外文期刊>Indian journal of industrial and applied mathematics >Approximation of Burger Equation by Orthogonal Collocation Method With Base Shifted Jacobi Polynomials P_n~((α,β)) for Different Values of α and β
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Approximation of Burger Equation by Orthogonal Collocation Method With Base Shifted Jacobi Polynomials P_n~((α,β)) for Different Values of α and β

机译:对于不同的α和β值,使用基本移位Jacobi多项式P_n〜((α,β))的正交配置方法对Burger方程进行逼近

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摘要

In the present study, orthogonal collocation method has been followed to discretize the non-linear Burger equation. Shifted Jacobi polynomials P_n~((α,β))(x) has been chosen as base functions. The problem is approximated for different values of α and β. Numerical values obtained for different values of α and β have been compared to the exact ones. The stability analysis has been done by von Neumann approach. The technique is found to be unconditionally stable for any choice of base function.
机译:在本研究中,遵循正交配置法离散非线性Burger方程。移位雅可比多项式P_n〜((α,β))(x)被选作基本函数。对于不同的α和β值,该问题是近似的。对于不同的α和β值获得的数值已与精确值进行了比较。稳定性分析是通过冯·诺依曼方法完成的。发现该技术对于任何基本功能选择都是无条件稳定的。

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