A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.
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G. Miller is a professor in the Department of Chemical Engineering and Materials Science at the University of California, Davis.
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Anbieter: Bahamut Media, Reading, Vereinigtes Königreich
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Hardcover. Zustand: Very Good. Numerical Analysis for Engineers and Scientists This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Artikel-Nr. 7719-9781107021082
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Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
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Anbieter: Labyrinth Books, Princeton, NJ, USA
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Zustand: New. pp. 581 90 Illus. Artikel-Nr. 94625740
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Hardcover. Zustand: Brand New. 572 pages. 9.75x7.00x1.50 inches. In Stock. Artikel-Nr. x-1107021081
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs. Num Pages: 581 pages, 90 b/w illus. 25 tables 70 exercises. BIC Classification: PBKS; PBW; PDE; TBJ. Category: (P) Professional & Vocational. Dimension: 257 x 184 x 36. Weight in Grams: 1202. . 2014. Illustrated. hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781107021082
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. The author provides a clear introduction to the classical methods, how they work and why they sometimes fail. Crucially, he also demonstrates how these simple and classical techniques can be combined to address difficult problems. Many worked examples and sample programs are provided to help the reader make practical use of the subject material. Further mathematical background, if required, is summarized in an appendix. Topics covered include classical methods for linear systems, eigenvalues, interpolation and integration, ODEs and data fitting, and also more modern ideas like adaptivity and stochastic differential equations. Artikel-Nr. 9781107021082
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