二维双曲方程基于POD的降阶有限差分外推迭代格式

A POD-based Reduced-Order Finite Difference Extrapolation Iterative Format for 2D Hyperbolic Equations

利用特征投影分解（POD）方法建立二维双曲型方程的一种基于POD方法的含有很少自由度但具有足够高精度的降阶宦限差分外推迭代格式。给出其基于POD降阶有限差分解的误差估计及基于POD降阶有限差分外推迭代格式的算法实现。用一个数值例子去说明数值计算结果与理论结果相吻合。进一步说明这种基于POD降阶有限差分外推迭代格式对于求解二维双曲方程是可行和有效的。

A proper orthogonal decomposition （POD） technique is employed to establish a POD-based reduced-order finite difference extrapolation iterative format for two-dimensional （2D） hyperbolic equations, which includes very few degrees of freedom but holds sufficiently high accuracy. The error estimates of the POD-based reduced-order finite difference solutions and the algorithm implementation of the POD-based reduced-order finite difference extrapolation iterative format are provided. A numerical example is used to illustrate that the results of numerical computation are consistent with theoretical conclusions. Moreover, it is shown that the POD-based reduced-order finite difference extrapolation iterative format is feasible and efficient for solving 2D hyperbolic equations