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Algebraic acceleration and regularization of the source reconstruction method with the recompressed adaptive cross approximation

机译:用重新压缩的自适应交叉近似法进行源重构方法的代数加速和正则化

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摘要

We present a compression algorithm to accelerate the solution of source reconstruction problems that are formulated with integral equations and defined on arbitrary three-dimensional surfaces. This compression technique benefits from the adaptive cross approximation (ACA) algorithm in the first step. A further error-controllable recompression is applied after the ACA. The numerical results illustrate the efficiency and accuracy of the proposed method.
机译:我们提出了一种压缩算法来加速源重构问题的解决方案,该问题由积分方程式制定并定义在任意三维表面上。第一步,这种压缩技术得益于自适应交叉逼近(ACA)算法。在ACA之后应用了进一步的错误控制的重新压缩。数值结果说明了该方法的有效性和准确性。

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