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Numerical Methods for Chemical Engineering: Applications in MATLAB, by Kenneth J. Beers
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Suitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering. Written in a pedagogic style, the book describes basic linear and nonlinear algebric systems all the way through to stochastic methods, Bayesian statistics and parameter estimation. These subjects are developed at a level of mathematics suitable for graduate engineering study without the exhaustive level of the theoretical mathematical detail. The implementation of numerical methods in MATLAB is integrated within each chapter and numerous examples in chemical engineering are provided, with a library of corresponding MATLAB programs. This book will provide the graduate student with essential tools required by industry and research alike. Supplementary material includes solutions to homework problems set in the text, MATLAB programs and tutorial, lecture slides, and complicated derivations for the more advanced reader. These are available online at www.cambridge.org/9780521859714.
- Sales Rank: #806710 in Books
- Published on: 2006-10-30
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x 1.06" w x 6.85" l, 2.30 pounds
- Binding: Hardcover
- 488 pages
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.
Most helpful customer reviews
2 of 2 people found the following review helpful.
excellent intro to applied math, not just for chemical engineers
By Kevin P. Murphy
This is extremely well written, combining both intuition and rigour. It has good accompanying matlab demos. It should be of interest to many people who use numerical methods (integration, optimization, eigen analysis, etc), not just chemical engineers.
0 of 0 people found the following review helpful.
Alot of extraneous info, but still very good
By clustro
Its a good book. There is a little too much focus on proof and derivation, but you can still just skim those parts and study the algorithms intently, and you will be just fine.
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.
0 of 0 people found the following review helpful.
So-So Book on Numerical Methods
By Y. Zhu
Explanations are somewhat confusing -- you need a strong math background as the book skips many steps while going through derivations.
Practice problems are somewhat helpful -- however, they lack in-depth solutions and are often significantly harder than the examples that are provided.
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