Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra.
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Lloyd N. Trefethen is a Professor of Computer Science at Cornell University. Starting October 1, 1997, he will be the Professor of Numerical Analysis at Oxford University in England. He has won teaching awards at both MIT and Cornell. In addition to editorial positions on such journals as SIAM Journal on Numerical Analysis, Journal of Computational and Applied Mathematics, Numerische Mathematik, and SIAM Review, he has been an invited lecturer at two dozen international conferences. While at Cornell, David Bau was a student of Trefethen. He is currently a Software Engineer at Google Inc., where he helped develop Google Talk, Google's IM and VOIP service.
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Condition: New. Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra. Num Pages: 184 pages, Illustrations. BIC Classification: PBF; PBH. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 257 x 177 x 20. Weight in Grams: 666. 184 pages, Illustrations. Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PBF; PBH. Dimension: 257 x 177 x 20. Weight: 646. . 1997. null. Paperback. . . . . Seller Inventory # V9780898713619
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Paperback. Condition: New. This is a concise, insightful introduction to the field of numerical linear algebra. The clarity and eloquence of the presentation make it popular with teachers and students alike. The text aims to expand the reader's view of the field and to present standard material in a novel way. All of the most important topics in the field are covered with a fresh perspective, including iterative methods for systems of equations and eigenvalue problems and the underlying principles of conditioning and stability. Presentation is in the form of 40 lectures, which each focus on one or two central ideas. The unity between topics is emphasized throughout, with no risk of getting lost in details and technicalities. The book breaks with tradition by beginning with the QR factorization - an important and fresh idea for students, and the thread that connects most of the algorithms of numerical linear algebra. Seller Inventory # LU-9780898713619
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