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求解大型稀疏对称矩阵极端特征值的子空间加速的截断牛顿法

A Subspace Accelerated Truncated Newton Method for Solving the Extreme Eigenvalue of Large-scale Sparse Symmetric Matrix
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摘要 利用扩展子空间的方法,对求解大型稀疏对称矩阵极端特征值的截断牛顿法进行改进,提出了子空间加速的截断牛顿法。理论分析和数值结果均表明,新方法对计算对称矩阵的极端特征值是有效的。 By using the subspace accelerated method,the authors improved the truncated Newton method for solving the eigenvalue of large-scale sparse symmetric matrix,and proposed a subspace accelerated truncated Newton method.Theoretical analysis and numerical results show the efficiency of the new method.
作者 钱小燕 刘浩
出处 《盐城工学院学报(自然科学版)》 CAS 2010年第3期24-27,共4页 Journal of Yancheng Institute of Technology:Natural Science Edition
基金 南京工业大学青年教师学术基金资助项目(39704017)
关键词 对称矩阵 特征值 特征向量 截断牛顿法 子空间加速方法 symmetric matrix eigenvalue eigen-vector truncated Newton method subspace accelerated method
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参考文献7

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