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首页> 外文期刊>Computer Modeling in Engineering & Sciences >On Solving the Ill-Conditioned System Ax = b: General-Purpose Conditioners Obtained From the Boundary-Collocation Solution of the Laplace Equation, Using Trefftz Expansions With Multiple Length Scales
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On Solving the Ill-Conditioned System Ax = b: General-Purpose Conditioners Obtained From the Boundary-Collocation Solution of the Laplace Equation, Using Trefftz Expansions With Multiple Length Scales

机译:关于求解病态系统Ax = b:使用具有多个长度尺度的Trefftz展开式,从Laplace方程的边界重合解获得通用调节剂

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Here we develop a general purpose pre/post conditioner T, to solve an ill-posed system of linear equations, Ax = b. The conditioner T is obtained in the course of the solution of the Laplace equation, through a boundary-collocation Trefftz method, leading to: Ty = x, where y is the vector of coefficients in the Trefftz expansion, and x is the boundary data at the discrete points on a unit circle. We show that the quality of the conditioner T is greatly enhanced by using multiple characteristic lengths (Multiple Length Scales) in the Trefftz expansion. We further show that T can be multiplicatively decomposed into a dilation T_D and a rotation T_R. For an odd-ordered A, we develop four conditioners based on the solution of the Laplace equation for Dirichlet boundary conditions, while for an even-ordered A we develop four conditioners employing the Neumann boundary conditions. All these conditioners are well-behaved and easily invertible. Several examples involving ill-conditioned A, such as the Hilbert matrices, those arising from the Method of Fundamental Solutions, those arising from very-high order polynomial interpolations, and those resulting from the solution of the first-kind Fredholm integral equations, are presented. The results demonstrate that the presently proposed conditioners result in very high computational efficiency and accuracy, when Ax = b is highly ill-conditioned, and b is noisy.
机译:在这里,我们开发了通用的前置/后置调节器T,以解决线性方程组Ax = b的不适定系统。调节器T是在Laplace方程的求解过程中通过边界搭配Trefftz方法获得的,得出:Ty = x,其中y是Trefftz展开中系数的矢量,x是在以下位置的边界数据单位圆上的离散点。我们显示,通过在Trefftz扩展中使用多个特征长度(多个长度尺度),可以大大提高护发素T的质量。我们进一步表明,T可以被乘法分解为膨胀T_D和旋转T_R。对于奇数A,我们基于Dirichlet边界条件的Laplace方程的解开发了四个调节器,而对于偶数A,我们使用Neumann边界条件开发了四个调节器。所有这些护发素的行为举止良好,易于逆转。给出了几个涉及病态A的示例,例如希尔伯特矩阵,由基本解法引起的那些,由高阶多项式插值引起的那些以及由第一类Fredholm积分方程的解引起的那些例子。结果表明,当Ax = b病情严重且b嘈杂时,当前提出的调节器会导致很高的计算效率和准确性。

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