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Local method of approximate particular solutions for two-dimensional unsteady Burgers' equations

机译:二维非定常Burgers方程的近似特殊解的局部方法

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摘要

The local method of approximate particular solutions (LMAPS) is first proposed to solve Burgers' equations. In avoiding the ill-conditioning problem, the weight coefficients of linear combination with respect to the function values and its derivatives can be obtained by solving low-order linear systems within the local supporting domain. Then the global solutions can be obtained by reformulating the local matrix in the global and sparse matrix. The obtained large sparse linear systems are directly solved instead of using more complicated iterative method. The numerical experiments have shown that the proposed method is suitable for solving the two-dimensional unsteady Burgers' equations with high accuracy and efficiency.
机译:首先提出了近似特殊解的局部方法(LMAPS)来求解伯格斯方程。为了避免不适的问题,可以通过求解局部支持域内的低阶线性系统来获得线性组合相对于函数值及其导数的权重系数。然后,可以通过在全局矩阵和稀疏矩阵中重新构造局部矩阵来获得全局解。直接求解获得的大型稀疏线性系统,而不是使用更复杂的迭代方法。数值实验表明,该方法适用于求解二维非定常Burgers方程,具有较高的精度和效率。

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