Strategies for improving the convergence rate of high accuracy surface modeling
文献类型:会议论文
作者 | Yue Tianxiang |
出版日期 | 2013 |
会议名称 | 2012 International Conference on Information Technology and Software Engineering, ITSE 2012, December 8, 2012 - December 10, 2012 |
会议地点 | Beijing, China |
关键词 | Convergence of numerical methods Algorithms Conjugate gradient method Domain decomposition methods Information technology Iterative methods Software engineering |
页码 | 685-693 |
英文摘要 | To improve the convergence rate of high accuracy surface modeling (HASM) method, we give three preconditioned conjugate gradient methods: incomplete Cholesky decomposition conjugate gradient method (ICCG), symmetric successive over relaxation-preconditioned conjugate gradient method (SSORCG), and polynomial preconditioned conjugate gradient method (PPCG). Besides, we give adequate consideration to storage schemes of the large sparse matrix and optimize the performance of sparse matrix-vector multiplication. The cost of the computation is also considered in each iteration. Numerical tests show that ICCG has the fastest convergence rate of HASM followed by SSORCG method. PPCG method has the lowest convergence rate than others since the sparse matrix-vector multiplication has to be formed three other times in every iteration; however, it is efficient on vector and parallel computers. 2013 Springer-Verlag. |
收录类别 | EI |
会议录出版者 | Springer Verlag |
语种 | 英语 |
ISSN号 | 18761100 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/31074] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Yue Tianxiang. Strategies for improving the convergence rate of high accuracy surface modeling[C]. 见:2012 International Conference on Information Technology and Software Engineering, ITSE 2012, December 8, 2012 - December 10, 2012. Beijing, China. |
入库方式: OAI收割
来源:地理科学与资源研究所
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