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Numerical Methods for Chemical Engineering

Numerical Methods for Chemical Engineering

Numerical Methods for Chemical Engineering

Applications in MATLAB
Kenneth J. Beers, Massachusetts Institute of Technology
November 2006
Hardback
9780521859714
£84.99
GBP
Hardback
USD
eBook

    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.

    • Numerous applications specific to chemical engineering and MATLAB integrated into each chapter, with an extensive library of example problems also located on the web
    • It avoids theoretically detailed mathematics
    • Contains numerous problems and homework exercises at the end of each chapter categorised according to difficulty with solutions available on the resource site

    Product details

    November 2006
    Hardback
    9780521859714
    488 pages
    254 × 180 × 28 mm
    1.116kg
    151 b/w illus. 18 tables 87 exercises
    Available

    Table of Contents

    • 1. Linear algebra
    • 2. Nonlinear algebraic systems
    • 3. Matrix eigenvalue analysis
    • 4. Initial value problems
    • 5. Numerical optimization
    • 6. Boundary value problems
    • 7. Probability theory and stochastic simulation
    • 8. Bayesian statistics and parameter estimation
    • 9. Fourier analysis.
    Resources for
    Type
    Supplementary material, including proofs for various theorems
    Size: 723.19 KB
    Type: application/pdf
    Matlab m files
    Size: 152.94 KB
    Type: application/zip
      Author
    • Kenneth J. Beers , Massachusetts Institute of Technology

      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.