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[×ÊÔ´] Applied Parameter Estimation for Chemical Engineers (Chemical Industries)

Applied Parameter Estimation for Chemical Engineers (Chemical Industries)
By Peter Englezos, Nicolas Kalogerakis

Publisher: CRC
Number Of Pages: 462
Publication Date: 2000-12-15
ISBN-10 / ASIN: 082479561X
ISBN-13 / EAN: 9780824795610
Binding: Hardcover



This book determines adjustable parameters in mathematical models that describe steady state or dynamic systems, presenting the most important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes represented by algebraic or differential equation models.



Summary: Good source of practical knowledge.
Rating: 5

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; also very good recommendations or practices on how to avoid them are explained. In addition, there is a short section on shortcuts in the "bio" area.

http://rapidshare.com/files/3843 ... Engineers.part1.rar
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