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| 題 名 | Solving Regularized Total Least Squares Problems Based on Eigenproblems |
|---|---|
| 作 者 | Lampe, Jörg; Voss, Heinrich; | 書刊名 | Taiwanese Journal of Mathematics |
| 卷 期 | 14:3A 2010.06[民99.06] |
| 頁 次 | 頁885-909 |
| 分類號 | 313.3 |
| 關鍵詞 | Total least squares; Regularization; Ill-posedness; Nonlinear arnoldi method; |
| 語 文 | 英文(English) |
| 英文摘要 | The total least squares (TLS) method is a successful approach for linear problems if both the system matrix and the right hand side are contaminated by some noise. For ill-posed TLS problems regularization is necessary to stabilize the computed solution. In this paper we summarize two iterative methods which are based on a sequence of eigenproblems. The focus is on efficient implementation with particular emphasis on the reuse of information gained during the convergence history. |
本系統中英文摘要資訊取自各篇刊載內容。