Applied parameter estimation for chemical engineers:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
M. Dekker
©2001
|
| Schriftenreihe: | Chemical industries
v. 81 |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (xvii, 434 pages) |
| ISBN: | 0203904699 0585434204 0824745264 082479561X 9780203904695 9780585434209 9780824745264 9780824795610 |
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| 500 | |a 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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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Englezos, Peter |
| author_facet | Englezos, Peter |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 660 - Chemical engineering |
| dewey-raw | 660 |
| dewey-search | 660 |
| dewey-sort | 3660 |
| dewey-tens | 660 - Chemical engineering |
| discipline | Chemie / Pharmazie |
| format | Electronic eBook |
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| id | DE-604.BV043114293 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:17:52Z |
| institution | BVB |
| isbn | 0203904699 0585434204 0824745264 082479561X 9780203904695 9780585434209 9780824745264 9780824795610 |
| language | English |
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| physical | 1 Online-Ressource (xvii, 434 pages) |
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| publishDate | 2001 |
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| series2 | Chemical industries |
| spelling | Englezos, Peter Verfasser aut Applied parameter estimation for chemical engineers Peter Englezos, Nicolas Kalogerakis Parameter estimation for chemical engineers New York M. Dekker ©2001 1 Online-Ressource (xvii, 434 pages) txt rdacontent c rdamedia cr rdacarrier Chemical industries v. 81 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 TECHNOLOGY & ENGINEERING / Chemical & Biochemical bisacsh SCIENCE / Chemistry / Industrial & Technical bisacsh Oliewinning gtt Procestechnologie gtt Parameters gtt Dynamica gtt Wiskundige modellen gtt Lineaire regressie gtt Differentiaalvergelijkingen gtt FORTRAN. gtt Toestandsvergelijkingen gtt Génie chimique / Modèles mathématiques ram Génie chimique / Méthodes statistiques ram Estimation de paramètres ram Processus gaussiens ram Mathematische Methode swd Verfahrenstechnik swd Chemical engineering / Mathematical models fast Chemical engineering / Statistical methods fast Gaussian processes fast Parameter estimation fast Chemie Mathematisches Modell Chemical engineering Mathematical models Chemical engineering Statistical methods Parameter estimation Gaussian processes Verfahrenstechnik (DE-588)4062781-0 gnd rswk-swf Mathematische Methode (DE-588)4155620-3 gnd rswk-swf Verfahrenstechnik (DE-588)4062781-0 s Mathematische Methode (DE-588)4155620-3 s 1\p DE-604 Kalogerakis, Nicolas Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=57179 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Englezos, Peter Applied parameter estimation for chemical engineers TECHNOLOGY & ENGINEERING / Chemical & Biochemical bisacsh SCIENCE / Chemistry / Industrial & Technical bisacsh Oliewinning gtt Procestechnologie gtt Parameters gtt Dynamica gtt Wiskundige modellen gtt Lineaire regressie gtt Differentiaalvergelijkingen gtt FORTRAN. gtt Toestandsvergelijkingen gtt Génie chimique / Modèles mathématiques ram Génie chimique / Méthodes statistiques ram Estimation de paramètres ram Processus gaussiens ram Mathematische Methode swd Verfahrenstechnik swd Chemical engineering / Mathematical models fast Chemical engineering / Statistical methods fast Gaussian processes fast Parameter estimation fast Chemie Mathematisches Modell Chemical engineering Mathematical models Chemical engineering Statistical methods Parameter estimation Gaussian processes Verfahrenstechnik (DE-588)4062781-0 gnd Mathematische Methode (DE-588)4155620-3 gnd |
| subject_GND | (DE-588)4062781-0 (DE-588)4155620-3 |
| title | Applied parameter estimation for chemical engineers |
| title_alt | Parameter estimation for chemical engineers |
| title_auth | Applied parameter estimation for chemical engineers |
| title_exact_search | Applied parameter estimation for chemical engineers |
| title_full | Applied parameter estimation for chemical engineers Peter Englezos, Nicolas Kalogerakis |
| title_fullStr | Applied parameter estimation for chemical engineers Peter Englezos, Nicolas Kalogerakis |
| title_full_unstemmed | Applied parameter estimation for chemical engineers Peter Englezos, Nicolas Kalogerakis |
| title_short | Applied parameter estimation for chemical engineers |
| title_sort | applied parameter estimation for chemical engineers |
| topic | TECHNOLOGY & ENGINEERING / Chemical & Biochemical bisacsh SCIENCE / Chemistry / Industrial & Technical bisacsh Oliewinning gtt Procestechnologie gtt Parameters gtt Dynamica gtt Wiskundige modellen gtt Lineaire regressie gtt Differentiaalvergelijkingen gtt FORTRAN. gtt Toestandsvergelijkingen gtt Génie chimique / Modèles mathématiques ram Génie chimique / Méthodes statistiques ram Estimation de paramètres ram Processus gaussiens ram Mathematische Methode swd Verfahrenstechnik swd Chemical engineering / Mathematical models fast Chemical engineering / Statistical methods fast Gaussian processes fast Parameter estimation fast Chemie Mathematisches Modell Chemical engineering Mathematical models Chemical engineering Statistical methods Parameter estimation Gaussian processes Verfahrenstechnik (DE-588)4062781-0 gnd Mathematische Methode (DE-588)4155620-3 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Chemical & Biochemical SCIENCE / Chemistry / Industrial & Technical Oliewinning Procestechnologie Parameters Dynamica Wiskundige modellen Lineaire regressie Differentiaalvergelijkingen FORTRAN. Toestandsvergelijkingen Génie chimique / Modèles mathématiques Génie chimique / Méthodes statistiques Estimation de paramètres Processus gaussiens Mathematische Methode Verfahrenstechnik Chemical engineering / Mathematical models Chemical engineering / Statistical methods Gaussian processes Parameter estimation Chemie Mathematisches Modell Chemical engineering Mathematical models Chemical engineering Statistical methods |
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