Applied Parameter Estimation for Chemical Engineers
Applied Parameter Estimation for Chemical Engineers (Chemical Industries)
Peter Englezos Nicolas Mineralogists | ISBN: 082479561X | 434pp | CRC Press | djvu | 4.3M
Series: Chemical Industries Series, #81
From The Critics Leo A. Behie fills an enormous gap in chemical engineering and engineering in general....puts everything into proper perspective in a very organized way. The presentation is superb....the authors have used outstanding examples throughout the text in chemical reactor design, thermodynamics, biochemical engineering, and even petroleum reservoir simulation. This is one terrific book!
Booknews Provides students and practicing engineers with tools that can be used for the solution of parameter estimation problems. The emphasis is on chemical engineering applications and on systems described by nonlinear algebraic and ordinary differential equations. The Gauss- Newton method is featured, but shortcut methods are also presented. Englezos (University of British Columbia) and Kalogerakis (Technical University of Crete) describe how to formulate and solve parameter estimation problems, compute the statistical properties of the parameters, perform model adequacy tests, and design experiments for parameter estimation or model discrimination. The CD-ROM contains Fortran programs for solving estimation problems. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Table of Contents
Preface
1 Introduction 1
2 Formulation of the Parameter Estimation Problem 7
3 Computation of Parameters in Linear Models - Linear Regression 23
4 Gauss-Newton Method for Algebraic Models 49
5 Other Nonlinear Regression Methods for Algebraic Models 67
6 Gauss-Newton Method for Ordinary Differential Equation (ODE) Models 84
7 Shortcut Estimation Methods for ODE Models 115
8 Practical Guidelines for Algorithm Implementation 133
9 Constrained Parameter Estimation 158
10 Gauss-Newton Method for Partial Differential Equation (PDE) Models 167
11 Statistical Inferences 177
12 Design of Experiments 185
13 Recursive Parameter Estimation 218
14 Parameter Estimation in Nonlinear Thermodynamic Models: Cubic Equations of State 226
15 Parameter Estimation in Nonlinear Thermodynamic Models: Activity Coefficients 268
16 Parameter Estimation in Chemical Reaction Kinetic Models 285
17 Parameter Estimation in Biochemical Engineering Models 322
18 Parameter Estimation in Petroleum Engineering 353
ifile Download
Applied Parameter Estimation for Chemical Engineers (Chemical Industries)
Peter Englezos Nicolas Mineralogists | ISBN: 082479561X | 434pp | CRC Press | djvu | 4.3M
Series: Chemical Industries Series, #81
From The Critics Leo A. Behie fills an enormous gap in chemical engineering and engineering in general....puts everything into proper perspective in a very organized way. The presentation is superb....the authors have used outstanding examples throughout the text in chemical reactor design, thermodynamics, biochemical engineering, and even petroleum reservoir simulation. This is one terrific book!
Booknews Provides students and practicing engineers with tools that can be used for the solution of parameter estimation problems. The emphasis is on chemical engineering applications and on systems described by nonlinear algebraic and ordinary differential equations. The Gauss- Newton method is featured, but shortcut methods are also presented. Englezos (University of British Columbia) and Kalogerakis (Technical University of Crete) describe how to formulate and solve parameter estimation problems, compute the statistical properties of the parameters, perform model adequacy tests, and design experiments for parameter estimation or model discrimination. The CD-ROM contains Fortran programs for solving estimation problems. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Table of Contents
Preface
1 Introduction 1
2 Formulation of the Parameter Estimation Problem 7
3 Computation of Parameters in Linear Models - Linear Regression 23
4 Gauss-Newton Method for Algebraic Models 49
5 Other Nonlinear Regression Methods for Algebraic Models 67
6 Gauss-Newton Method for Ordinary Differential Equation (ODE) Models 84
7 Shortcut Estimation Methods for ODE Models 115
8 Practical Guidelines for Algorithm Implementation 133
9 Constrained Parameter Estimation 158
10 Gauss-Newton Method for Partial Differential Equation (PDE) Models 167
11 Statistical Inferences 177
12 Design of Experiments 185
13 Recursive Parameter Estimation 218
14 Parameter Estimation in Nonlinear Thermodynamic Models: Cubic Equations of State 226
15 Parameter Estimation in Nonlinear Thermodynamic Models: Activity Coefficients 268
16 Parameter Estimation in Chemical Reaction Kinetic Models 285
17 Parameter Estimation in Biochemical Engineering Models 322
18 Parameter Estimation in Petroleum Engineering 353
ifile Download
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