中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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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