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Asymptotically Optimal Successive Overrelaxation Methods for Systems of Linear Equations
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@Article{JCM-21-603,
author = {Bai , Zhong-Zhi and Chi , Xue-Bin},
title = {Asymptotically Optimal Successive Overrelaxation Methods for Systems of Linear Equations},
journal = {Journal of Computational Mathematics},
year = {2003},
volume = {21},
number = {5},
pages = {603--912},
abstract = {
We present a class of asymptotically optimal successive overrelaxation methods for solving the large sparse system of linear equations. Numerical computations show that these new methods are more efficient and robust than the classical successive overrelaxation method.
}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/10247.html} }
TY - JOUR
T1 - Asymptotically Optimal Successive Overrelaxation Methods for Systems of Linear Equations
AU - Bai , Zhong-Zhi
AU - Chi , Xue-Bin
JO - Journal of Computational Mathematics
VL - 5
SP - 603
EP - 912
PY - 2003
DA - 2003/10
SN - 21
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jcm/10247.html
KW - Successive Overrelaxation Methods, System of Linear Equations.
AB -
We present a class of asymptotically optimal successive overrelaxation methods for solving the large sparse system of linear equations. Numerical computations show that these new methods are more efficient and robust than the classical successive overrelaxation method.
Bai , Zhong-Zhi and Chi , Xue-Bin. (2003). Asymptotically Optimal Successive Overrelaxation Methods for Systems of Linear Equations.
Journal of Computational Mathematics. 21 (5).
603-912.
doi:
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