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題名 計算一個逆特徵值問題
Computing an Inverse Eigenvalue Problem
作者 范慶辰
Fan, Ching chen
貢獻者 王太林
范慶辰
Fan, Ching chen
關鍵詞 逆特徵值問題
蘭克澤斯演算法
QR 演算法
Inverse eigenvalue problem
Lanczos algorithm
QR algorithm
日期 1995
上傳時間 28-Apr-2016 15:18:40 (UTC+8)
摘要 In this thesis three methods LMGS, TQR and GR are applied to
參考文獻 〔1〕N. Barkakati, Turbo C++ Bible, Howard W. Sams 1991.
     〔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.
     〔3〕J. J. Dongarra, C. B. Moler, J. R. Bunch, G. W. Stewart, LINPACK User’s Guide, STAM 1979.
     〔4〕W. Gautschi, Is the Recurrence Relation for Orthogonal Polynomials Always Stable?, BIT 33(1993), pp.277-284.
     〔5〕W. B. Gragg, W. J. Harrod, The Numerically Stable Reconstruction of Jacobi Matrices from Spectral Data, Numer. Math. 44(1984), pp.317-335.
     〔6〕B. N. Parlett, The Symmetric Eigenvalue Problem, Prentice-Hall 1980.
     〔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.
     〔8〕T. L. Wang, The QR Transformation for Normal Hessenberg Matrices, unpublished manuscript (1998).
     〔9〕D. S. Watkins, Fundamentals of Matrix Computations, John Wiley 1991.
描述 碩士
國立政治大學
應用數學系
83751009
資料來源 http://thesis.lib.nccu.edu.tw/record/#B2002002886
資料類型 thesis
dc.contributor.advisor 王太林zh_TW
dc.contributor.author (Authors) 范慶辰zh_TW
dc.contributor.author (Authors) Fan, Ching chenen_US
dc.creator (作者) 范慶辰zh_TW
dc.creator (作者) Fan, Ching chenen_US
dc.date (日期) 1995en_US
dc.date.accessioned 28-Apr-2016 15:18:40 (UTC+8)-
dc.date.available 28-Apr-2016 15:18:40 (UTC+8)-
dc.date.issued (上傳時間) 28-Apr-2016 15:18:40 (UTC+8)-
dc.identifier (Other Identifiers) B2002002886en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/87595-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 應用數學系zh_TW
dc.description (描述) 83751009zh_TW
dc.description.abstract (摘要) In this thesis three methods LMGS, TQR and GR are applied tozh_TW
dc.description.tableofcontents 1 Introduction……1
     1.1 An Inverse Eigenvalue Problem……1
     1.2 Lanczos Process……2
     1.3 Orthogonal Polynomials……4
     1.4 TQR Method……5
     1.5 GR Method……7
     2 Example and Numerical Results……10
     2.1 Examples……10
     2.2 Difference between L and LMGS……10
     2.3 Comparison of LMGS, TQR and GR……13
     3 Application to the Least Squares Problem……16
     3.1 Fourier Coefficients……16
     3.2 Polynomial Least Squares Approximation……20
     4 Conclusion……23
     References……23
zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#B2002002886en_US
dc.subject (關鍵詞) 逆特徵值問題zh_TW
dc.subject (關鍵詞) 蘭克澤斯演算法zh_TW
dc.subject (關鍵詞) QR 演算法zh_TW
dc.subject (關鍵詞) Inverse eigenvalue problemen_US
dc.subject (關鍵詞) Lanczos algorithmen_US
dc.subject (關鍵詞) QR algorithmen_US
dc.title (題名) 計算一個逆特徵值問題zh_TW
dc.title (題名) Computing an Inverse Eigenvalue Problemen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 〔1〕N. Barkakati, Turbo C++ Bible, Howard W. Sams 1991.
     〔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.
     〔3〕J. J. Dongarra, C. B. Moler, J. R. Bunch, G. W. Stewart, LINPACK User’s Guide, STAM 1979.
     〔4〕W. Gautschi, Is the Recurrence Relation for Orthogonal Polynomials Always Stable?, BIT 33(1993), pp.277-284.
     〔5〕W. B. Gragg, W. J. Harrod, The Numerically Stable Reconstruction of Jacobi Matrices from Spectral Data, Numer. Math. 44(1984), pp.317-335.
     〔6〕B. N. Parlett, The Symmetric Eigenvalue Problem, Prentice-Hall 1980.
     〔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.
     〔8〕T. L. Wang, The QR Transformation for Normal Hessenberg Matrices, unpublished manuscript (1998).
     〔9〕D. S. Watkins, Fundamentals of Matrix Computations, John Wiley 1991.
zh_TW