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 | | Fundamentals of Engineering Numerical Analysis by Parviz Moin ISBN-10: 9780521801409 ISBN-10: 0-521-80140-0 ISBN-13: 9780521801409 ISBN-13: 978-0-521-80140-9 Hardcover 2001-08-20 Cambridge University Press Find Lowest Price |
Editorials | ||
Product Description Engineers need hands-on experience in solving complex engineering problems with computers. This text introduces numerical methods and shows how to develop, analyze, and use them. A thorough and practical book, it is intended for use in a first course in numerical analysis. Along with mastering the fundamentals of numerical methods, students will learn to write their own computer programs using standard numerical methods. They will learn what factors affect accuracy, stability, and convergence, and how to evaluate critically the numerical output from a computer. Special features are the numerous examples and exercises that give students first-hand experience. | ||
Book Description Engineers need hands-on experience in solving complex engineering problems with computers. This text introduces numerical methods and shows how to develop, analyze, and use them. A thorough and practical book, it is is intended as a first course in numerical analysis, primarily for beginning graduate students in engineering and physical science. Along with mastering the fundamentals of numerical methods, students will learn to write their own computer programs using standard numerical methods. They will learn what factors affect accuracy, stability, and convergence. A special feature is the numerous examples and exercises that are included to give students first-hand experience. | ||
Reviews | ||
extensive problem sets Moin offers a first course in numerical analysis. Mostly directed at engineering students who have some computer programming background. Though extensive experience in this is not needed. Naturally, there is an emphasis on solving differential and integral equations. So old favourites like Runge-Kutta and trapezoidal means make their appearance for the latter, for example. There is also a more advanced treatment of how to tackle partial differential equations. The problem sets are a good feature of the book. Some may take considerable time to code and debug, but hopefully will help you gain insight into what the author is explaining. | ||