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Scientific Computing with MATLAB and Octave: 2 (Texts in Computational Science and Engineering) - Tapa blanda

 
9783642069062: Scientific Computing with MATLAB and Octave: 2 (Texts in Computational Science and Engineering)

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Críticas

From the reviews: " ... Scientific Computing with MATLAB is written in a clear and concise style, figures, tables and formula boxes complement the explanations... The whole book is an invitation, if not a request, of the authors to the reader to play with MATLAB, apply its powerful menagerie of functions to solve the given (or own) problems - in brief, supervised learning by doing .... is a stimulating introductory textbook about numerical methods that successfully combines mathematical theory with programming experience..." Anselm A.C. Horn, Journal of Molecular Modeling 2004 "... An excellent addition to academic libraries and university bookstores, this book will be useful for self-study and as a complement to other MATLAB-based books. Highly recommended. Upper-division undergraduates through professionals." S.T. Karris, Choice 2003 From the reviews of the second edition: "The authors present ... details about the MATLAB and Octave environments, with information about how the two products can be acquired. ... readers will find a useful set of about 60 references to books and articles about numerical methods and algorithms. ... If you work on a daily basis with things like Fourier transformations ... and Chebyshev interpolations, then you’ll find this book invaluable. If, like me, you are required to support people who work with those things, you’ll need this book ... ." (G. K. Jenkins, ACM Computing Reviews, Vol. 49 (12), December, 2008)

Reseña del editor

This introduction to Scientific Computing illustrates several numerical methods for the computer solution of certain classes of mathematical problems. The authors show how to compute the zeros or the integrals of continuous functions, solve linear systems, approximate functions by polynomials and construct accurate approximations for the solution of differential equations. To make the presentation concrete, the programming environment Matlab is adopted as a faithful companion.

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