- Hardcover: 488 pages
- Publisher: Cambridge University Press; 1 edition (October 30, 2006)
- Language: English
- ISBN-10: 0521859719
- ISBN-13: 978-0521859714
- Product Dimensions: 6.8 x 1.1 x 9.7 inches
- Shipping Weight: 2.4 pounds (View shipping rates and policies)
- Average Customer Review: 3.2 out of 5 stars See all reviews (5 customer reviews)
- Amazon Best Sellers Rank: #389,694 in Books (See Top 100 in Books)
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Numerical Methods for Chemical Engineering: Applications in MATLAB 1st Edition
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Suitable for a first year graduate course, this textbook unites applications of numerical mathematics and scientific computing to the practise of chemical engineering. The methods are developed at a level of mathematics suitable for graduate engineering. MATLAB is integrated within each chapter and numerous examples in chemical engineering are provided.
About the Author
Kenneth J Beers has been Assistant Professor at MIT since the year 2000. He has taught extensively across the engineering discipline at both the undergraduate and graduate level. This book is a result of the sucessful course the author devised at MIT for numerical methods applied to chemical engineering.
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Top Customer Reviews
Practice problems are somewhat helpful -- however, they lack in-depth solutions and are often significantly harder than the examples that are provided.
Very broad in scope; covers multiple linear equations, multiple nonlinear equations, optimization w/ gradient search and stochastic search, and monte-carlo methods.
The section on stochastic differential equations is somewhat lacking though.
To be fair, writing a good numerical methods textbook is tough. Numerical methods is a required course in many graduate chemical engineering programs, and other programs elect to give their students course notes (the University of Wisconsin and the University of Delaware are two examples I know of). Beers made an admirable attempt, and specifically includes chemical engineering applications, but the factual errors in an important, foundational subject in numerical methods make it difficult for me to recommend this book.