Page 2 - Numerical Methods for Chemical Engineering

Numerical Methods for Chemical Engineering
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 algebraic systems all the
way through to stochastic methods, Bayesian statistics, and parameter estimation. These
subjects are developed at a nominal level of theoretical mathematics suitable for graduate
engineers. The implementation of numerical methods in M ® is integrated within
each chapter and numerous examples in chemical engineering are provided, together with a
library of corresponding M programs. Although the applications focus on chemical
engineering, the treatment of the topics should also be of interest to non-chemical engineers
and other applied scientists that work with scientific computing. This book will provide the
graduate student with the essential tools required by industry and research alike.
Supplementary material includes solutions to homework problems set in the text,
M programs and tutorial, lecture slides, and complicated derivations for the more
advanced reader. These are available online at www.cambridge.org/9780521859714.

K JB has been Assistant Professor at MIT since 2000. He has taught exten-
sively across the engineering discipline at both the undergraduate and graduate level. This
book is a result of the successful course the author devised at MIT for numerical methods
applied to chemical engineering.