| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w0046 |
| 来源ID | Working Paper 0046 |
| The Singular Value Analysis in Matrix Computation | |
| Richard A. Becker; Neil Kaden; Virginia Klema | |
| 发表日期 | 1974-07-01 |
| 出版年 | 1974 |
| 语种 | 英语 |
| 摘要 | This paper discusses the robustness and the computational stability of the singular value decomposition algorithm used at the NBER Computer Research Center. The effect of perturbations on input data is explored. Suggestions are made for using the algorithm to get information about the rank of a real square or rectangular matrix. The algorithm can also be used to compute the best approximate solution of linear system of equations in the least squares sense, to solve linear systems of equations with equality constraints, and to determine dependencies or near dependencies among the rows or columns of a matrix. A copy of the subroutine that is used and some examples on which it has been tested are included in the appendixes. |
| URL | https://www.nber.org/papers/w0046 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/557243 |
| 推荐引用方式 GB/T 7714 | Richard A. Becker,Neil Kaden,Virginia Klema. The Singular Value Analysis in Matrix Computation. 1974. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w0046.pdf（384KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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