Structured Decompositions for Solving Sparse Nonlinear Systems of Equations on Parallel Computers

Xiaodong Zhang
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Abstract

The structured decompositions for solving sparse nonlinear systems of equations are to transform the sparse systems into some special structures so that the computations can be decomposed efficiently for parallel processing. A group of structured nonlinear systems by decoinpositions and their parallel methods for solutions are overviewed.
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并行计算机上求解稀疏非线性方程组的结构化分解
求解稀疏非线性方程组的结构化分解是将稀疏方程组转化为特定的结构,使计算能够有效地分解,便于并行处理。本文综述了一组结构化非线性系统的分解及其并行求解方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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