The fifth edition of Numerical Methods for Engineers continues its tradition of excellence. Instructors love this text because it is a comprehensive text that is easy to teach from. Students love it because it is written for them--with great pedagogy and clear explanations and examples throughout. The text features a broad array of applications, including all engineering disciplines. 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. Approximately 80% of the problems are new or revised for this edition. The expanded breadth of engineering disciplines covered is especially evident in the problems, which now cover such areas as biotechnology and biomedical engineering.
One of the best books I ever read. The presentation of the book is awesome and every chapter has the following: Motivation: why anyone should understand this subject Mathematical background Scope and preview of each chapter Goals and objectives
I purchased this book for my post graduation mathematics subject.
I think this is how each book should be written and this is how subjects are to be taught.
The platonic ideal an applied mathematics textbook: really clearly written, really relevant, really illuminating. I went from having no idea of how to solve problems in science and engineering with no analytic (long-hand) solutions, to having a sound grounding in computer-assisted methods for differential calculus, integral calculus, differential equations, linear algebra, as well as linear, polynomial, and exponential regression. For most engineering students enrolled in a numerical methods, Chapra's text is the clear choice.