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The fifth edition of "Numerical Methods for Engineers with Software and Programming Applications" continues its tradition of excellence. The revision retains the successful pedagogy of the prior editions. Chapra and Canale's unique approach opens each part of the text with sections called "Motivation", "Mathematical Background", and "Orientation"preparing the student for what is to come in a motivating and engaging manner. Each part closes with an Epilogue containing sections called "Trade-Offs", "Important Relationships and Formulas", and "Advanced Methods and Additional References". Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Users will find use of software packages, specifically MATLAB and Excel with VBA. This includes material on developing MATLAB m-files and VBA macros. Also, many, many more challenging problems are included. The expanded breadth of engineering disciplines covered is especially evident in the problems, which now cover such areas as biotechnology and biomedical engineering.
- Sales Rank: #1814216 in Books
- Published on: 2008-08-07
- Original language: English
- Number of items: 5
- Dimensions: 2.05" h x 9.09" w x 8.27" l, .0 pounds
- Binding: Paperback
- 960 pages
About the Author
Steven C. Chapra (Medford, MA) is Professor of Civil and Environmental Engineering, Tufts University. Retired
Most helpful customer reviews
19 of 20 people found the following review helpful.
I recommend "Numerical Methods for Engineers" as textbook
By Sergio Escobedo Bocardo
I teach Numerical Methods at undergraduate level in Mexico, and I have used "Numerical Methods for Engineers" during several years.
I like this book because of its approach to learning: each part contains Motivation, Mathematical Background and Orientation, then the numerical methods and finally an Epilogue.
Also, the number and variety of the problems presented contribute to accomplish our educational objectives, and the emphasis made on the growing use of software packages (MATLAB, Excel, Mathcad and IMSL) makes this book more useful for students and instructors.
This is an extensive book (more than 900 pages) and perhaps some parts of it must be omitted during a normal course (4 months, 4 hours per week in our case).
I think that the book price of the English edition (Hardcover) is high. Fortunately for our students, there is a cheaper Spanish version, although the translation is not very good (not in the technical sense but in writing and style).
In conclusion, I recommend the book to students and instructors as a comprehensive, learning oriented text with many problems in several engineering areas, and emphasis on the use of software packages, suitable to be used as textbook of numerical methods with extensive use of software.
5 of 5 people found the following review helpful.
Numerical Methods made easy
By Andreas O. Schwarzinger
I bought this book a little while ago to get more familiar with interpolation which I need to use in some of the signal analysis software that I write. As I was reading through the book I suddenly realized the overall usefulness of numerical methods in general. It has helped me code up routines for solving matrices and interpolation algorithms. After reading this book I really can not understand how courses in linear algebra and differential equations can be taught without extensive use of numerical methods.
This book has really opened my eyes to a whole new way of solving engineering problems.
Andy (andys@d2d.com)
6 of 7 people found the following review helpful.
As a textbook?
By Abraham
I've noticed several reviewers have benifited from this book as a reference for algorithms in specific topics, which is something the book is really good at in my opinion.
However, we studied the book as a junior level textbook in numerical methods and went into many problems in doing so. Although the motiviation is well, the presentation is not. For example, the parts on Fourier Approximation (Chapter 19), and Finite Difference: Elliptic Equations (Chapter 29) really do require good background knowledge on behalf of the reader, and the authors sometimes rush into the approximation techniques with hardly any explination of the underlying logic.
For undergraduate students, I don't believe this book is good for self-teaching. More elaboration is needed in the derivations of the nemurical techniques, and without that, many of us were lost when it came to homeworks and computer projects.
On the bright side, The graphs are excellent , and the book covers a very wide range of topics and presents many codes and worked out examples.
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