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Applied Parameter Estimation for Chemical Engineers (Chemical Industries)

Applied Parameter Estimation for Chemical Engineers (Chemical Industries)Authors: Peter Englezos, Nicolas Kalogerakis
Publisher: CRC Press

List Price: $219.95
Buy New: $62.55
as of 7/31/2010 23:12 MST details
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New (11) Used (10) from $55.09

Seller: sweethomeliquid2
Rating: 5.0 out of 5 stars 1 reviews

Media: Hardcover
Edition: 1st
Pages: 462
Number Of Items: 1
Shipping Weight (lbs): 1.7
Dimensions (in): 9.1 x 6.2 x 1.3

ISBN: 082479561X
Dewey Decimal Number: 660
EAN: 9780824795610
ASIN: 082479561X

Publication Date: December 15, 2000
Availability: Usually ships in 1-2 business days

Also Available In:

  • Kindle Edition - Applied Parameter Estimation for Chemical Engineers
  • Hardcover - Applied Parameter Estimation for Chemical Engineers

Editorial Reviews:

Product Description
A reference and textbook providing readers with the most important optimization methods for parameter estimation in chemical engineering. The CD-ROM features Fortran computer programs for solving equation systems and other problems with Microsoft Excel and Sigma Plot. Contains over 900 equations in all.


Customer Reviews:
5 out of 5 stars Good source of practical knowledge   January 19, 2005
C. Gelmi
4 out of 4 found this review helpful

For a long time I have been looking for a book like this one. Finally, I had found it. Just from the Table of Contents, you will see that includes a broad range of applications in parameter estimation such as: linear, non-linear, ODEs, PDEs and also algorithm's implementation. Special topics, such as sensitivity analysis in ODE models, Information index (where to do the measurements in order to maximize the content of information of the experimental data), and Statistical inference (i.e. parameters' inference, model adequacy test, etc.) are exposed with clarity.

I particularly like the section of Solved Problems, were you can compare your own algorithms with the ones exposed in the book. I work with MATLAB (including my own algorithms), and I have done a couple of comparisons that match perfect the numerical results shown in the book.

Many of the typical problems that I have faced in the area of parameter estimation were mentioned in the book; good recommendations or practices on how to avoid them are explained. In addition, there is a short section on shortcuts in the "bio" area.

In summary, a good source of practical knowledge for those ones interested in the topic.


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