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樓主
發(fā)表于 2025-3-21 17:27:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Guaranteed Accuracy in Numerical Linear Algebra
編輯S. K. Godunov,A. G. Antonov,V. I. Kostin
視頻videohttp://file.papertrans.cn/391/390742/390742.mp4
叢書名稱Mathematics and Its Applications
圖書封面Titlebook: ;
出版日期Book 1993
版次1
doihttps://doi.org/10.1007/978-94-011-1952-8
isbn_softcover978-94-010-4863-7
isbn_ebook978-94-011-1952-8
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:17:11 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:03:04 | 只看該作者
Shrinking Cities and First Suburbsh canonical form is called the singular value decomposition. In what follows we will use the well-known polar decomposition, which is recalled in Section 1 in course of discussion of singular value decomposition of square matrices.
地板
發(fā)表于 2025-3-22 06:10:03 | 只看該作者
New technologies — new rules, old adagesfrom a product of matrices of two—dimensional Jacobi rotations (chains of two—dimensional rotations). Such orthogonal transformations were used by Voyevodin [46], Rutshauzer [41], Golub and Kahan [20], Kublanovskaya [28], and Francis [12].
5#
發(fā)表于 2025-3-22 10:50:38 | 只看該作者
Charles S. Carver,Michael F. Scheiersented here, are used to construct the orthogonal transformations in deflation algorithms for band matrices. The accurate calculation of these sequences allows to avoid the iteration scheme of algorithms and to find the parameters of orthogonal transformations from the elements of two—side Sturm sequence.
6#
發(fā)表于 2025-3-22 15:21:52 | 只看該作者
Singular Value Decomposition,h canonical form is called the singular value decomposition. In what follows we will use the well-known polar decomposition, which is recalled in Section 1 in course of discussion of singular value decomposition of square matrices.
7#
發(fā)表于 2025-3-22 18:08:19 | 只看該作者
8#
發(fā)表于 2025-3-23 00:53:06 | 只看該作者
Sturm Sequences of Tridiagonal Matrices,sented here, are used to construct the orthogonal transformations in deflation algorithms for band matrices. The accurate calculation of these sequences allows to avoid the iteration scheme of algorithms and to find the parameters of orthogonal transformations from the elements of two—side Sturm sequence.
9#
發(fā)表于 2025-3-23 01:54:03 | 只看該作者
Shrinking Cities and First Suburbsh canonical form is called the singular value decomposition. In what follows we will use the well-known polar decomposition, which is recalled in Section 1 in course of discussion of singular value decomposition of square matrices.
10#
發(fā)表于 2025-3-23 08:28:55 | 只看該作者
New technologies — new rules, old adagesfrom a product of matrices of two—dimensional Jacobi rotations (chains of two—dimensional rotations). Such orthogonal transformations were used by Voyevodin [46], Rutshauzer [41], Golub and Kahan [20], Kublanovskaya [28], and Francis [12].
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