首页> 外文期刊>SIAM Journal on Scientific Computing >SOLVING AN ILL-POSED CAUCHY PROBLEM FOR A TWO-DIMENSIONAL PARABOLIC PDE WITH VARIABLE COEFFICIENTS USING A PRECONDITIONED GMRES METHOD
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SOLVING AN ILL-POSED CAUCHY PROBLEM FOR A TWO-DIMENSIONAL PARABOLIC PDE WITH VARIABLE COEFFICIENTS USING A PRECONDITIONED GMRES METHOD

机译:使用前置GMRES方法求解带有变系数的二维抛物线PDE的不适定Cauchy问题

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摘要

The sideways parabolic equation (SPE) is a model of the problem of determining the temperature on the surface of a body from the interior measurements. Mathematically it can be formulated as a noncharacteristic Cauchy problem for a parabolic partial differential equation. This problem is severely ill-posed in an L-2 setting. We use a preconditioned generalized minimum residual method (GMRES) to solve a two-dimensional SPE with variable coefficients. The preconditioner is singular and chosen in a way that allows efficient implementation using the FFT. The preconditioner is a stabilized solver for a nearby problem with constant coefficients, and it reduces the number of iterations in the GMRES algorithm significantly. Numerical experiments are performed that demonstrate the performance of the proposed method.
机译:侧向抛物线方程(SPE)是根据内部测量确定物体表面温度的问题的模型。在数学上,它可以表示为抛物型偏微分方程的非特征柯西问题。在L-2的环境中,这个问题非常严重。我们使用预处理的广义最小残差方法(GMRES)来求解具有可变系数的二维SPE。预调节器是单数形式,并且选择的方式允许使用FFT高效实现。预处理器是具有恒定系数的附近问题的稳定求解器,它可显着减少GMRES算法中的迭代次数。数值实验表明该方法的性能。

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