Num Pages: 576 pages, colour line drawings, colour tables, figures. BIC Classification: TG. Category: (P) Professional & Vocational. Dimension: 262 x 210 x 24. Weight in Grams: 1174. . 2013. 3rd Edition. Hardcover. . . . .

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Bibliographic Details

Title: Numerical Methods for Engineers and Scientists: An Introduction with Applications Using MATLAB
Publisher: John Wiley & Sons Inc
Publication Date: 2014
Language: English
ISBN 10: 1118554930
ISBN 13: 9781118554937
Binding: Hardcover
Edition: 3rd Edition
Condition: New

About this title

Synopsis

Numerical Methods for Engineers and Scientists, 3rd Edition provides engineers with a more concise treatment of the essential topics of numerical methods while emphasizing MATLAB use. The third edition includes a new chapter, with all new content, on Fourier Transform and a new chapter on Eigenvalues (compiled from existing Second Edition content). The focus is placed on the use of anonymous functions instead of inline functions and the uses of subfunctions and nested functions. This updated edition includes 50% new or updated Homework Problems, updated examples, helping engineers test their understanding and reinforce key concepts.

About the Author

Amos Gilat, Ph.D., is Professor of Mechanical Engineering at The Ohio State University. Dr. Gillat’s main research interests are in plasticity, specifically, in developing experimental techniques for testing materials over a wide range of strain rates and temperatures and in investigating constitutive relations for viscoplasticity. Dr. Gilat's research has been supported by the National Science Foundation, NASA, Federal Aviation Administration, Department of Defense, and various industries.

Vish Subramaniam, Ph.D., is a Professor of Mechanical Engineering & Chemical Physics at The Ohio State University. Dr. Subramaniam’s main research interests are in cancer detection and imaging, plasma and laser physics and processes, particularly those that involve non-equilibirum phenomena. Dr. Subramaniam's research is both experimental and computational, and has been supported by The Department of Defense, National Science Foundation, and numerous industries.

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