| 加权-对称超松弛迭代法 |
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| 引用本文： | 曾闽丽. 加权-对称超松弛迭代法[J]. 莆田高等专科学校学报, 2008, 0(2): 29-31 |
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| 作者姓名： | 曾闽丽 |
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| 作者单位： | 莆田学院数学与应用数学系,福建莆田351100 |
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| 摘 要： | 结合逐次超松弛迭代法（SOR）和对称超松弛迭代法（SSOR）的基本思想，给出了一类求解大型线性方程组的新迭代法：加权．对称超松弛迭代算法（WSSOR），并在数值计算中给出了加权因子和松弛参数的最佳范围，实验表明新算法的收敛速度快、精确度高。
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| 关 键 词： | SOR SSOR WSSOR 加权因子 |
Weighting-relaxation Relative Method |
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| ZENG Min-li. Weighting-relaxation Relative Method[J]. Journal of Putian College, 2008, 0(2): 29-31 |
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| Authors: | ZENG Min-li |
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| Affiliation: | ZENG Min-li (Mathematics ＆ Applied Mathematics Department, Putian University, Putian Fujian 351100, China) |
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| Abstract: | According to the idea of SOR and SSOR, this article gives a kind of solution for large-scale system of linear equations： weighting-relaxation iterative algorithm, and the scope of the weighting factor and the best relaxation parameter. The experiment indicates that the new algorithm is broadly in use, good in convergence rate and high in precision. |
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| Keywords: | SOR SSOR WSSOR weighting factor |
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