@Bibtex-file{Math/Matrix.bib,
  title =        "Bibliography on Matrix computations",
  author =       "G. W. Stewart",
  email =        "stewart@thales.cs.umd.edu",
  supported =    "yes",
  readme =       "This is my bibtex reference base. It is available by
                 anonymous ftp at thales.cs.umd.edu in the directory
                 pub/references. It is also available from netlib. The
                 reference base is a combination of my personal
                 reference base and a number of others. It includes (at
                 least in part) \begin{enumerate} \item The bibliography
                 from Introduction to Matrix Computations by G. W.
                 Stewart. \item The bibliography from Matrix
                 Perturbation Theory by G. W. Stewart and J.-G. Sun.
                 \item The bibliography from Matrix Computations by G.
                 H. Golub and C. Van Loan. \item P. C. Hansen's
                 bibliography on rank-revealing decompositions. \item
                 Ake Bjorck's bibliography on least squares.
                 \end{enumerate} UPDATES: The reference base on thales
                 will be updated from time to time.\par Anyone who has
                 had to read my papers or books knows that as a
                 proofreader I am at the bottom of the heap. This
                 reference base is no exception. Do not use the
                 references in a paper, unless you have checked them out
                 for yourself (actually sound scholarly practice
                 requires that you never make an indirect reference
                 without giving the secondary source). Naturally, I am
                 interested in hearing about any errors you may find.",
  keywords =     "cs (computer science), csd (CS decomposition), eig
                 (eigenvalue problems), eriv (errors in variables), geig
                 (generalized eigenvalue problems), ginv (generalized
                 inverse), gsvd (generalized singular value
                 decomposition), iter (iterative methods), la (linear
                 algebra), lsq (least squares), math (mathematics), lud
                 (LU decomposition), na (numerical analysis), nla
                 (numerical linear algebra), nlop (nonlinear equations
                 and optimization), nllsq (nonlinear least squares),
                 prll (parallel computations), pert (perturbation
                 theory), qrd (QR decomposition), regr (regression),
                 stat (statistics), svd (singular value decomposition),
                 utvd (orthogonal-triangula-orthogonal decomposition),
                 vect (vector computing)",
}