Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/87595
DC Field | Value | Language |
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dc.contributor.advisor | 王太林 | zh_TW |
dc.contributor.author | 范慶辰 | zh_TW |
dc.contributor.author | Fan, Ching chen | en_US |
dc.creator | 范慶辰 | zh_TW |
dc.creator | Fan, Ching chen | en_US |
dc.date | 1995 | en_US |
dc.date.accessioned | 2016-04-28T07:18:40Z | - |
dc.date.available | 2016-04-28T07:18:40Z | - |
dc.date.issued | 2016-04-28T07:18:40Z | - |
dc.identifier | B2002002886 | en_US |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/87595 | - |
dc.description | 碩士 | zh_TW |
dc.description | 國立政治大學 | zh_TW |
dc.description | 應用數學系 | zh_TW |
dc.description | 83751009 | zh_TW |
dc.description.abstract | In this thesis three methods LMGS, TQR and GR are applied to | zh_TW |
dc.description.tableofcontents | 1 Introduction……1\r\n1.1 An Inverse Eigenvalue Problem……1\r\n1.2 Lanczos Process……2\r\n1.3 Orthogonal Polynomials……4\r\n1.4 TQR Method……5\r\n1.5 GR Method……7\r\n2 Example and Numerical Results……10\r\n2.1 Examples……10\r\n2.2 Difference between L and LMGS……10\r\n2.3 Comparison of LMGS, TQR and GR……13\r\n3 Application to the Least Squares Problem……16\r\n3.1 Fourier Coefficients……16\r\n3.2 Polynomial Least Squares Approximation……20\r\n4 Conclusion……23\r\nReferences……23 | zh_TW |
dc.source.uri | http://thesis.lib.nccu.edu.tw/record/#B2002002886 | en_US |
dc.subject | 逆特徵值問題 | zh_TW |
dc.subject | 蘭克澤斯演算法 | zh_TW |
dc.subject | QR 演算法 | zh_TW |
dc.subject | Inverse eigenvalue problem | en_US |
dc.subject | Lanczos algorithm | en_US |
dc.subject | QR algorithm | en_US |
dc.title | 計算一個逆特徵值問題 | zh_TW |
dc.title | Computing an Inverse Eigenvalue Problem | en_US |
dc.type | thesis | en_US |
dc.relation.reference | 〔1〕N. Barkakati, Turbo C++ Bible, Howard W. Sams 1991.\r\n〔2〕C. de Boor, G. H. Golub, The Numerically Stable Reconstruction of A Jacobi Matris from Spectral Data, Linear Algebra and Its Applications 21(1978), pp.245-260.\r\n〔3〕J. J. Dongarra, C. B. Moler, J. R. Bunch, G. W. Stewart, LINPACK User’s Guide, STAM 1979.\r\n〔4〕W. Gautschi, Is the Recurrence Relation for Orthogonal Polynomials Always Stable?, BIT 33(1993), pp.277-284.\r\n〔5〕W. B. Gragg, W. J. Harrod, The Numerically Stable Reconstruction of Jacobi Matrices from Spectral Data, Numer. Math. 44(1984), pp.317-335.\r\n〔6〕B. N. Parlett, The Symmetric Eigenvalue Problem, Prentice-Hall 1980.\r\n〔7〕L. Reichel, Fast QR decomposition of Vandermonde-Like Matrices and Polynomial Least Squares Approximation, SIAM J. Matrix Anal. Appl., 12(1991), pp.552-564.\r\n〔8〕T. L. Wang, The QR Transformation for Normal Hessenberg Matrices, unpublished manuscript (1998).\r\n〔9〕D. S. Watkins, Fundamentals of Matrix Computations, John Wiley 1991. | zh_TW |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.openairetype | thesis | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
Appears in Collections: | 學位論文 |
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