Entry Chan:2007:MMC from technometrics1970.bib

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BibTeX entry

@Book{Chan:2007:MMC,
  editor =       "Raymond H. Chan and Chen Greif and Dianne P. O'Leary",
  booktitle =    "Milestones in Matrix Computation: the Selected Works
                 of {Gene H. Golub} with Commentaries",
  title =        "Milestones in Matrix Computation: the Selected Works
                 of {Gene H. Golub} with Commentaries",
  publisher =    pub-OXFORD,
  address =      pub-OXFORD:adr,
  pages =        "xi + 565 + 3",
  year =         "2007",
  ISBN =         "0-19-920681-3",
  ISBN-13 =      "978-0-19-920681-0",
  LCCN =         "QA188 .G67 2007",
  MRclass =      "65-06 (01A75 65Fxx)",
  MRnumber =     "MR2281939 (2008b:65004)",
  MRreviewer =   "David Scott Watkins",
  bibdate =      "Sat Apr 07 10:23:33 2007",
  bibsource =    "http://www.math.utah.edu/pub/bibnet/authors/g/golub-gene-h.bib;
                 http://www.math.utah.edu/pub/bibnet/authors/h/higham-nicholas-john.bib;
                 http://www.math.utah.edu/pub/bibnet/authors/l/lanczos-cornelius.bib;
                 http://www.math.utah.edu/pub/tex/bib/master.bib;
                 http://www.math.utah.edu/pub/tex/bib/numana2000.bib;
                 http://www.math.utah.edu/pub/tex/bib/siamjnumeranal.bib;
                 http://www.math.utah.edu/pub/tex/bib/siamreview.bib;
                 http://www.math.utah.edu/pub/tex/bib/technometrics1970.bib",
  URL =          "http://www.loc.gov/catdir/enhancements/fy0737/2007276086-d.html",
  abstract =     "The text presents and discusses some of the most
                 influential papers in Matrix Computation authored by
                 Gene H. Golub, one of the founding fathers of the
                 field. The collection of 21 papers in divided into five
                 main areas: iterative methods for linear systems,
                 solution of least squares problems, matrix
                 factorizations and applications, orthogonal polynomials
                 and quadrature, and eigenvalue problems an commentaries
                 for each area are provided by leading experts: Anne
                 Greenbaum, {\AA}ke Bj{\"o}rck, Nicholas Higham, Walter
                 Gautschi, and G. W. (Pete) Stewart. Comments on each
                 paper are also provided by the original authors,
                 providing the reader with historical information on how
                 the paper came to be written and under what
                 circumstances the collaboration was undertaken.
                 Including a brief biography and facsimiles of the
                 original papers, this text will be of great interest to
                 students and researchers in numerical analysis and
                 scientific computation.",
  acknowledgement = ack-nhfb,
  tableofcontents = "List of Plates / x \\
                 I: Gene H. Golub \\
                 1 Gene H. Golub Biography, by Chen Greif / 3 \\
                 2 Publications of Gene H. Golub / 13 \\
                 3 Major Awards / 30 \\
                 4 Students of Gene H. Golub / 32 \\
                 II: Iterative Methods for Linear Systems \\
                 5 Commentary, by Anne Greenbaum / 35 \\
                 References / 43 \\
                 6 Chebyshev semi-iterative methods, successive
                 over-relaxation iterative methods, and second-order
                 Richardson iterative methods, Parts I and II (with R.
                 S. Varga) / 45 \\
                 7 A generalized conjugate gradient method for
                 non-symmetric systems of linear equations (with Paul
                 Concus) / 68 \\
                 8 A generalized conjugate gradient method for the
                 numerical solution of elliptic partial differential
                 equations (with Paul Concus and Dianne P. O'Leary) / 79
                 \\
                 9 Hermitian and Skew-Hermitian Splitting Methods for
                 Non-Hermitian Positive Definite Linear Systems (with
                 Zhong-Zhi Bai and Michael K. Ng) / 102 \\
                 III: Solution of Least Squares Problems \\
                 10 Commentary, by {\AA}ke Bj{\"o}rck / 129 \\
                 References / 141 \\
                 11 Numerical methods for solving linear least squares
                 problems / 148 \\
                 12 Singular value decomposition and least squares
                 solutions (with C. Reinsch) / 160 \\
                 13 The differentiation of pseudo-inverses and
                 non-linear least squares problems whose variables
                 separate (with V. Pereyra) / 181 \\
                 14 Generalized cross-validation as a method for
                 choosing a good ridge parameter (with M. Heath and G.
                 Wahba) / 202 \\
                 15 An analysis of the total least squares problem (with
                 C. Van Loan) / 213 \\
                 IV: Matrix Factorizations and Applications \\
                 16 Commentary, by Nicholas Higham / 227 \\
                 References / 233 \\
                 17 Calculating the singular values and pseudo-inverse
                 of a matrix (with W. Kahan) / 236 \\
                 18 The simplex method of linear programming using $ L U
                 $ decomposition (with R. H. Bartels) / 257 \\
                 19 On direct methods for solving Poisson's equation
                 (with B. L. Buzbee and C. W. Nielson) / 261 \\
                 20 Numerical methods for computing angles between
                 linear subspaces (with {\AA}. Bj{\"o}rck) / 292 \\
                 21 Methods for modifying matrix factorizations (with P.
                 E. Gill, W. Murray and M. A. Saunders) / 309 \\
                 V: Orthogonal Polynomials and Quadrature \\
                 22 Commentary, by Walter Gautschi / 345 \\
                 References / 354 \\
                 23 Calculation of Gauss quadrature rules (with J. H.
                 Welsch) / 359 \\
                 24 Matrices, moments, and quadrature (with G{\'e}rard
                 Meurant) / 380 \\
                 25 Computation of Gauss--Kronrod Quadrature Rules (with
                 D. Calvetti, W. B. Gragg and L. Reichel) / 434 \\
                 VI: Eigenvalue Problems \\
                 26 Commentary, by G. W. Stewart / 457 \\
                 References / 465 \\
                 27 Some modified matrix eigenvalue problems / 467 \\
                 28 Ill-conditioned eigensystems and the computation of
                 the Jordan canonical form (with J. H. Wilkinson) / 485
                 \\
                 29 The block Lanczos method for computing eigenvalues
                 (with R. Underwood) / 528 \\
                 30 The numerically stable reconstruction of a Jacobi
                 matrix from spectral data (with C. de Boor) / 546 Index
                 / 563",
}

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