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Parallel Solution of Diagonally Dominant Banded Triangular Toeplitz Systems Using Taylor Polynomials

机译:使用Taylor多项式对角占优带状三角Toeplitz系统的并行解

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We present a new numerical and inherently parallel algorithm for solving banded (strictly) diagonally dominant triangular and banded Toeplitz (BDDTT) systems of linear equations. A Taylor polynomial, derived from the matrix analog of the Taylor Series for evaluating (1-x)-1 where |x| <; 1, is applied, in conjunction with other techniques, to compute an approximate solution to a BDDTT-type system. This method requires O(n log2 n) arithmetic operations (ops) and O(log2 n) parallel steps (steps). Two FFTs and an IFFT of order 2n are the main contributors to the workload. This matches the FFT count for a triangular Toeplitz-matrix-vector multiplication. Clearly then, our method improves on the many algebraic FFT based processes that first determine the triangular Toeplitz matrix that is the inverse of a BDDTT matrix in order to then solve the associated BDDTT system.
机译:我们提出了一种新的数值和固有并行算法,用于求解带状(严格)对角线占优势的​​三角形和带状Toeplitz(BDDTT)线性方程组。泰勒多项式,由泰勒级数的矩阵类似物得出,用于评估(1-x)-1,其中| x | <;结合其他技术应用图1所示的方法来计算BDDTT型系统的近似解。此方法需要O(n log2 n)个算术运算(ops)和O(log2 n)个并行步骤(步骤)。两个FFT和2n阶的IFFT是造成工作量的主要因素。这与三角形Toeplitz-矩阵-矢量乘法的FFT计数匹配。显然,我们的方法改进了许多基于FFT的过程,这些过程首先确定作为BDDTT矩阵逆矩阵的三角Toeplitz矩阵,然后再求解相关的BDDTT系统。

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