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Divide-and-Conquer Solutions of Least-Squares Problems for Matrices withDisplacement Structure

机译：具有位移结构的矩阵的最小二乘问题的分治解

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作者
Chun, J.; Kailath, T.;
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年度 1991
页码
总页数 19
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Least squares method; Displacement; Reprints;

机译：最小二乘法;位移;重印;

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1. The structured total least-squares approach for non-linearly structured matrices [J] . P. Lemmerling, S. Van Huffel, B. De Moor Numerical linear algebra with applications . 2002,第4期

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2. Submatrix constrained least-squares inverse problem for symmetric matrices from the design of vibrating structures [J] . Xu Wei-Ru, Chen Guo-Liang, Gong Yi Journal of Computational and Applied Mathematics . 2019,第期

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3. SUPERFAST DIVIDE-AND-CONQUER METHOD AND PERTURBATION ANALYSIS FOR STRUCTURED EIGENVALUE SOLUTIONS [J] . Vogel James, Xia Jianlin, Cauley Stephen, SIAM Journal on Scientific Computing . 2016,第3期

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4. Least-square solutions of the linear matrix equation over symmetric orthogonal symmetric matrices [C] . Tian Ru, Sheng Yan-Ping Proceedings of 2011 International Conference on Machine Learning and Cybernetics . 2011

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5. Probabilistic divide-and-conquer -- A new method for exact simulation -- and lower bound expansions for random Bernoulli matrices via novel integer partitions. [D] . DeSalvo, Stephen Anthony. 2012

机译：概率分治法-一种精确模拟的新方法-以及通过新颖的整数分区对随机伯努利矩阵进行下界展开的方法。
6. New fast least-squares algorithm for estimating the best-fitting parameters due to simple geometric-structures from gravity anomalies [O] . Khalid S. Essa 2014

机译：新的快速最小二乘算法用于根据重力异常估算简单几何结构导致的最佳拟合参数
7. Least-Squares Solutions of the Matrix EquationsAXB+CYD=HandAXB+CXD=Hfor Symmetric Arrowhead Matrices and Associated Approximation Problems [O] . Yongxin Yuan 2014

机译：矩阵areAsationsAXB + CYD = HandaxB + CXD = HFor对称箭头矩阵和相关近似问题的最小二乘解
8. Divide-and-Conquer Solutions of Least-Squares Problems for Matrices withDisplacement Structure. (Reannouncement with New Availability Information) [R] . Chun, J., Kailath, T. 1991

机译：具有位移结构的矩阵的最小二乘问题的分治解。（重新公布新的可用性信息）

Divide-and-Conquer Solutions of Least-Squares Problems for Matrices withDisplacement Structure

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