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arXiv 1301.4435math.NAcs.NA
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亥姆霍兹方程的鞍点数值方法

A Saddle Point Numerical Method for Helmholtz Equations

Thiel College(锡耶尔学院)

Russell B. Richins

AI总结:

基于Milton、Seppecher和Bouchitte的鞍点变分原理,提出一种求解复杂亥姆霍兹方程的数值方法,生成对称正定方程组并避免求解解的梯度,从而完全基于共轭梯度算法。

摘要:

在先前的工作中,作者与D.C. Dobson提出了一种基于Milton、Seppecher和Bouchitte的最小化变分原理求解复杂亥姆霍兹方程的数值方法。该方法产生一个系数矩阵对称正定的方程组,但同时需要同时求解解及其梯度。本文提出了一种基于Milton、Seppecher和Bouchitte的鞍点变分原理的方法,该方法生成对称正定方程组,但消除了求解解梯度的必要性。结果是一种完全基于共轭梯度算法的适用于广泛亥姆霍兹问题的方法。

英文摘要:

In a previous work, the author and D.C. Dobson proposed a numerical method for solving the complex Helmholtz equation based on the minimization variational principles developed by Milton, Seppecher, and Bouchitte. This method results in a system of equations with a symmetric positive definite coefficient matrix, but at the same time requires solving simultaneously for the solution and its gradient. Herein is presented a method based on the saddle point variational principles of Milton, Seppecher, and Bouchitte, which produces symmetric positive definite systems of equations, but eliminates the necessity of solving for the gradient of the solution. The result is a method for a wide class of Helmholtz problems based completely on the Conjugate Gradient algorithm.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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