Revised and updated, the third edition of Golub and Van Loan's classic text in computer science provides essential information about the mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of the modified Gram-Schmidt process, and new material ...
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Revised and updated, the third edition of Golub and Van Loan's classic text in computer science provides essential information about the mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of the modified Gram-Schmidt process, and new material devoted to GMRES, QMR, and other methods designed to handle the sparse unsymmetric linear system problem. Praise for previous editions: "A wealth of material, some old and classical, some new and still subject to debate. It will be a valuable reference source for workers in numerical linear algebra as well as a challenge to students."--'SIAM Review' "In purely academic terms the reader with an interest in matrix computations will find this book to be a mine of insight and information, and a provocation to thought; the annotated bibliographies are helpful to those wishing to explore further. One could not ask for more, and the book should be considered a resounding success."--'Bulletin of the Institute of Mathematics and its Applications' "The authors have rewritten and clarified many of the proofs and derivations from the first edition. They have also added new topics such as Arnoldi iteration, domain decomposition methods, and hyperbolic downdating. Clearly the second edition is an invaluable reference book that should be in every university library. With the new proofs and derivations, it should remain the text of choice for graduate courses in matrix computations."--'Image: Bulletin of the International Linear Algebra Society'
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Seller's Description:
Good. No dust jacket. Clean pages and tight binding. Name printed on front free endpaper. Sewn binding. Paper over boards. 694 p. Johns Hopkins Studies in the Mathematical Sciences. Audience: General/trade. Thank you for supporting the Friends of the Torrance Library. Your purchase helps us to provide adult and children's programs and new library services.
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Seller's Description:
Book is considered to be in good or better condition. The actual cover image may not match the stock photo. Hard cover books may show signs of wear on the spine cover or dust jacket. Paperback book may show signs of wear on spine or cover as well as having a slight bend or curve to it. Book should have no writing inside or highlighting. Pages should be free of tears or creasing. Stickers should not be present on cover or elsewhere and any CD or DVD expected with the book is included. Book is not a former library copy.
