Applied parameter estimation for chemical engineers:
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Bibliographic Details
Main Author: Englezos, Peter (Author)
Format: Electronic eBook
Language:English
Published: New York M. Dekker ©2001
Series:Chemical industries v. 81
Subjects:
Online Access:FAW01
FAW02
Volltext
Item Description:Includes bibliographical references (pages 391-402) and index
Preface; Contents; Introduction; Formulation of the Parameter Estimation Problem; Computation of Parameters in Linear Models -- Linear Regression; Gauss-Newton Method for Algebraic Models; Other Nonlinear Regression Methods for Algebraic Models; Gauss-Newton Method for Ordinary Differential Equation (ODE) Models'; Shortcut Estimation Methods for Ordinary Differential Equation (ODE) Models; Practical Guidelines for Algorithm Implementation; Constrained Parameter Estimation; Gauss-Newton Method for Partial Differential Equation (PDE) Models; Statistical Inferences; Design of Experiments
A presentation of important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method for systems and processes represented by algebraic or differential equation models
Physical Description:1 Online-Ressource (xvii, 434 pages)
ISBN:0203904699
0585434204
0824745264
082479561X
9780203904695
9780585434209
9780824745264
9780824795610

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