Coverart for item
The Resource Applied parameter estimation for chemical engineers, Peter Englezos, Nicolas Kalogerakis

Applied parameter estimation for chemical engineers, Peter Englezos, Nicolas Kalogerakis

Label
Applied parameter estimation for chemical engineers
Title
Applied parameter estimation for chemical engineers
Statement of responsibility
Peter Englezos, Nicolas Kalogerakis
Title variation
Parameter estimation for chemical engineers
Creator
Contributor
Subject
Genre
Language
eng
Summary
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
Member of
Is part of
Cataloging source
N$T
http://library.link/vocab/creatorDate
1958-
http://library.link/vocab/creatorName
Englezos, Peter
Dewey number
660
Illustrations
illustrations
Index
index present
LC call number
TP155.2.M35
LC item number
E54 2001eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1954-
http://library.link/vocab/relatedWorkOrContributorName
Kalogerakis, Nicolas
Series statement
Chemical industries
Series volume
81
http://library.link/vocab/subjectName
  • Chemical engineering
  • Chemical engineering
  • Parameter estimation
  • Gaussian processes
  • TECHNOLOGY & ENGINEERING
  • SCIENCE
  • Chemical engineering
  • Chemical engineering
  • Gaussian processes
  • Parameter estimation
  • Mathematische Methode
  • Verfahrenstechnik
  • Oliewinning
  • Procestechnologie
  • Parameters
  • Dynamica
  • Wiskundige modellen
  • Lineaire regressie
  • Differentiaalvergelijkingen
  • FORTRAN
  • Toestandsvergelijkingen
  • Génie chimique
  • Génie chimique
  • Estimation de paramètres
  • Processus gaussiens
Label
Applied parameter estimation for chemical engineers, Peter Englezos, Nicolas Kalogerakis
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 391-402) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
51045635
Dimensions
unknown
Extent
1 online resource (xvii, 434 pages)
Form of item
online
Isbn
9780585434209
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)51045635
Label
Applied parameter estimation for chemical engineers, Peter Englezos, Nicolas Kalogerakis
Publication
Bibliography note
Includes bibliographical references (pages 391-402) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
51045635
Dimensions
unknown
Extent
1 online resource (xvii, 434 pages)
Form of item
online
Isbn
9780585434209
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)51045635

Library Locations

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      1 University Blvd, St. Louis, MO, 63121, US
      38.710138 -90.311107
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