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关于解极大相关问题P-SOR算法的收敛性
引用本文:秦晓伟,刘新国,赵娜. 关于解极大相关问题P-SOR算法的收敛性[J]. 计算数学, 2011, 33(4): 345-356
作者姓名:秦晓伟  刘新国  赵娜
作者单位:中国海洋大学数学科学学院, 山东青岛 266100
基金项目:国家自然科学基金,国家科技重大专项(2008ZX05025-001-006)部分资助
摘    要:对求解极大相关问题的P-SOR方法的收敛性做了进一步研究.得到了一些新的收敛条件.为了提高收敛到全局最大解的可能性,提出了一种新的初始向量选择策略.给出了P-SOR算法的对称形式(P-SSOR).还给出了一种算法精化策略.最后,用数值例子说明新方法的有效性.

关 键 词:典型相关分析  极大相关问题  多元特征值问题  P-SOR算法,松弛因子  初始点策略  收敛性
收稿时间:2010-08-12;

ON THE CONVERGENCE OF THE P-SOR METHOD FOR SOLVING MAXIMAL CORRELATION PROBLEM
Qin Xiaowei,Liu Xinguo,Zhao Na. ON THE CONVERGENCE OF THE P-SOR METHOD FOR SOLVING MAXIMAL CORRELATION PROBLEM[J]. Mathematica Numerica Sinica, 2011, 33(4): 345-356
Authors:Qin Xiaowei  Liu Xinguo  Zhao Na
Affiliation:School of Mathematical Sciences, Ocean University of China, Qingdao 266100, Shandong, China
Abstract:This paper concentrates on the convergence of the P-SOR algorithm for maximal correlation problems (MCP) proposed by Sun and contains four contributions. Several new results on the convergence of the P-SOR method are obtained. To increase the probability of finding a global maximizer, a new staring point strategy is proposed. A so-called P-SSOR algorithm is presented and shown that the new algorithm is less sensitive to the selection of the relaxation parameter ω than P-SOR algorithm. Finally, a refining strategy to compute the global maximizer is suggested. Some numerical examples are carried out to demonstrate the efficiency of the new algorithm with the new starting point strategy.
Keywords:Canonical correlation analysis  Maximal correlation problem  Multivariate eigenvalue problem  P-SOR algorithm  the relaxation parameter  starting point strategy  convergence
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