| 并行求解大型稀疏线性方程组的研究概况 |
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| 引用本文： | 李晓梅,迟利华. 并行求解大型稀疏线性方程组的研究概况[J]. 装备指挥技术学院学报, 1999, 10(3): 1-8 |
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| 作者姓名： | 李晓梅 迟利华 |
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| 作者单位： | [1]指挥技术学院电子技术系 [2]国防科技大学计算机系 |
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| 摘 要： | 本文全面总结了当前并行求解大型稀疏线性方程组的两种主要方法－直接法和迭代法。分析了它们的特点，同时指出了结合预条件子的Ｋｒｙｌｏｖ子空间迭代法是目前并行求解大型稀疏线性方程组的最主要方法。
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| 关 键 词： | 并行算法 稀疏线性方程组 迭代解法 并行算法 |
General Research Situation of Parallel Computing on Solving Large Sparse Linear System of Equations |
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| Li Xiaomei. General Research Situation of Parallel Computing on Solving Large Sparse Linear System of Equations[J]. Journal of the Academy of Equipment Command & Technology, 1999, 10(3): 1-8 |
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| Authors: | Li Xiaomei |
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| Abstract: | The characteristics of two main parallel computing algorithms on solving large sparse linear system equation-direct method and iterative method will be analyzed and summarized in this paper. It is worthy to point out that the preconditioned Krylov subspace iterative method as a fundamental method in parallel computing on salving these equations. |
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| Keywords: | parallel algorithms sparse systems of linear equations direct method iterative method scalability of parallel algorithms |
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