| Document Type
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BL
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| Record Number
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782198
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| Doc. No
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b602211
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| Main Entry
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Peter Englezos, Nicolas Kalogerakis.
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| Title & Author
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Applied parameter estimation for chemical engineers\ Peter Englezos, Nicolas Kalogerakis.
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| Publication Statement
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New York: M. Dekker, ©2001.
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| Series Statement
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Chemical industries, v. 81.
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| Page. NO
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(xvii, 434 pages) : illustrations
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| ISBN
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0203904699
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: 0585434204
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: 0824745264
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: 1135553939
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: 9780203904695
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: 9780585434209
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: 9780824745264
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: 9781135553937
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| Contents
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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.
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| Abstract
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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.
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| Subject
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Chemical engineering -- Mathematical models.
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| Subject
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Chemical engineering -- Statistical methods.
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| Subject
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Parameter estimation.
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| LC Classification
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TP155.2.M35P484 2001
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| Added Entry
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Nicolas Kalogerakis
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Peter Englezos
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| Parallel Title
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Parameter estimation for chemical engineers
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