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Applied mathematics and modeling for chemical engineers / / Richard G. Rice, Duong D. Do
Applied mathematics and modeling for chemical engineers / / Richard G. Rice, Duong D. Do
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, New Jersey, : Wiley, 2012
Descrizione fisica 1 online resource (397 p.)
Disciplina 660.01519
660.284015118
660/.284/015118
Altri autori (Persone) DuongD. Do
Collana Wiley series in chemical engineering
Soggetto topico Differential equations
Chemical processes - Mathematical models
Chemical engineering - Mathematics
ISBN 9781523111268
1523111267
9781118343029
1118343026
9781283646093
1283646099
9781118343012
1118343018
Classificazione 501.1
660/.284015118
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto APPLIED MATHEMATICS AND MODELING FOR CHEMICAL ENGINEERS; Contents; Preface to the Second Edition; PART I; 1 Formulation of Physicochemical Problems; 1.1 Introduction; 1.2 Illustration of the Formulation Process (Cooling of Fluids); 1.2.1 Model I: Plug Flow; 1.2.2 Model II: Parabolic Velocity; 1.3 Combining Rate and Equilibrium Concepts (Packed Bed Adsorber); 1.4 Boundary Conditions and Sign Conventions; 1.5 Models with Many Variables: Vectors and Matrices; 1.6 Matrix Definition; 1.6.1 The Matrix; 1.6.2 The Vector; 1.7 Types of Matrices; 1.7.1 Square Matrix; 1.7.2 Diagonal Matrix
1.7.3 Triangular Matrix1.7.4 Tridiagonal Matrix; 1.7.5 Symmetric Matrix; 1.7.6 Sparse Matrix; 1.7.7 Diagonally Dominant Matrix; 1.8 Matrix Algebra; 1.8.1 Addition and Subtraction; 1.8.2 Multiplication; 1.8.3 Inverse; 1.8.4 Matrix Decomposition or Factorization; 1.9 Useful Row Operations; 1.9.1 Scaling; 1.9.2 Pivoting; 1.9.3 Elimination; 1.10 Direct Elimination Methods; 1.10.1 Basic Procedure; 1.10.2 Augmented Matrix; 1.10.3 Pivoting; 1.10.4 Scaling; 1.10.5 Gauss Elimination; 1.10.6 Gauss-Jordan Elimination: Solving Linear Equations; 1.10.7 LU Decomposition; 1.11 Iterative Methods
1.11.1 Jacobi Method1.11.2 Gauss-Seidel Iteration Method; 1.11.3 Successive Overrelaxation Method; 1.12 Summary of the Model Building Process; 1.13 Model Hierarchy and its Importance in Analysis; Problems; References; 2 Solution Techniques for Models Yielding Ordinary Differential Equations; 2.1 Geometric Basis and Functionality; 2.2 Classification of ODE; 2.3 First-Order Equations; 2.3.1 Exact Solutions; 2.3.2 Equations Composed of Homogeneous Functions; 2.3.3 Bernoulli's Equation; 2.3.4 Riccati's Equation; 2.3.5 Linear Coefficients; 2.3.6 First-Order Equations of Second Degree
2.4 Solution Methods for Second-Order Nonlinear Equations2.4.1 Derivative Substitution Method; 2.4.2 Homogeneous Function Method; 2.5 Linear Equations of Higher Order; 2.5.1 Second-Order Unforced Equations: Complementary Solutions; 2.5.2 Particular Solution Methods for Forced Equations; 2.5.3 Summary of Particular Solution Methods; 2.6 Coupled Simultaneous ODE; 2.7 Eigenproblems; 2.8 Coupled Linear Differential Equations; 2.9 Summary of Solution Methods for ODE; Problems; References; 3 Series Solution Methods and Special Functions; 3.1 Introduction to Series Methods
3.2 Properties of Infinite Series3.3 Method of Frobenius; 3.3.1 Indicial Equation and Recurrence Relation; 3.4 Summary of the Frobenius Method; 3.5 Special Functions; 3.5.1 Bessel's Equation; 3.5.2 Modified Bessel's Equation; 3.5.3 Generalized Bessel's Equation; 3.5.4 Properties of Bessel Functions; 3.5.5 Differential, Integral, and Recurrence Relations; Problems; References; 4 Integral Functions; 4.1 Introduction; 4.2 The Error Function; 4.2.1 Properties of Error Function; 4.3 The Gamma and Beta Functions; 4.3.1 The Gamma Function; 4.3.2 The Beta Function; 4.4 The Elliptic Integrals
4.5 The Exponential and Trigonometric Integrals
Record Nr. UNINA-9911006511103321
Hoboken, New Jersey, : Wiley, 2012
Materiale a stampa
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Mathematical methods in chemical engineering
Mathematical methods in chemical engineering
Autore Varma Arvind
Pubbl/distr/stampa [Place of publication not identified], : Oxford University Press, 1997
Disciplina 515/.14/02466
Soggetto topico Chemical engineering - Mathematics
Chemical Engineering
Chemical & Materials Engineering
Engineering & Applied Sciences
ISBN 1-62870-159-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9911007372403321
Varma Arvind  
[Place of publication not identified], : Oxford University Press, 1997
Materiale a stampa
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Numerical methods for chemical engineering : applications in Matlab / / Kenneth J. Beers
Numerical methods for chemical engineering : applications in Matlab / / Kenneth J. Beers
Autore Beers Kenneth J
Pubbl/distr/stampa Cambridge, UK ; ; New York, : Cambridge University Press, 2007
Descrizione fisica 1 online resource (xi, 474 pages) : digital, PDF file(s)
Disciplina 660.0151
Soggetto topico Chemical engineering - Mathematics
Chemistry, Technical
ISBN 9780511812194 (e-book)
9780521859714 (hbk.)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Linear algebra -- Nonlinear algebraic systems -- Matrix eigenvalue analysis -- Initial value problems -- Numerical optimization -- Boundary value problems -- Probability theory and stochastic simulation -- Bayesian statistics and parameter estimation -- Fourier analysis.
Record Nr. UNINA-9911006650303321
Beers Kenneth J  
Cambridge, UK ; ; New York, : Cambridge University Press, 2007
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Process modelling and simulation in chemical, biochemical and environmental engineering / / Ashok Kumar Verma
Process modelling and simulation in chemical, biochemical and environmental engineering / / Ashok Kumar Verma
Autore Verma Ashok Kumar
Pubbl/distr/stampa Boca Raton : , : Taylor & Francis, , [2015]
Descrizione fisica 1 online resource (416 p.)
Disciplina 660/.28
Soggetto topico Chemical processes - Computer simulation
Chemical engineering - Mathematics
ISBN 0-429-09069-2
1-138-07508-6
1-4822-0593-9
Classificazione SCI013060TEC010000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Contents; Preface; Acknowledgements; Author; Nomenclature; Chapter 1: Introduction to Modelling and Simulation; Chapter 2: An Overview of Modelling and Simulation; Chapter 3: Models Based on Simple Laws; Chapter 4: Models Based on Laws of Conservation; Chapter 5: Multiphase Systems without Reaction; Chapter 6: Multiphase Systems with Reaction; Chapter 7: Population Balance Models and Discrete-Event Models; Chapter 8: Artificial Neural Network-Based Models; Chapter 9: Model Validation and Sensitivity Analysis; Chapter 10: Case Studies; Chapter 11: Simulation of Large Plants
Appendix AAppendix B; Back Cover
Record Nr. UNINA-9910787960603321
Verma Ashok Kumar  
Boca Raton : , : Taylor & Francis, , [2015]
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Process modelling and simulation in chemical, biochemical and environmental engineering / / Ashok Kumar Verma
Process modelling and simulation in chemical, biochemical and environmental engineering / / Ashok Kumar Verma
Autore Verma Ashok Kumar
Edizione [1st ed.]
Pubbl/distr/stampa Boca Raton : , : Taylor & Francis, , [2015]
Descrizione fisica 1 online resource (416 p.)
Disciplina 660/.28
Soggetto topico Chemical processes - Computer simulation
Chemical engineering - Mathematics
ISBN 9781040195758
104019575X
9780429090691
0429090692
9781138075085
1138075086
9781482205930
1482205939
Classificazione SCI013060TEC010000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Contents; Preface; Acknowledgements; Author; Nomenclature; Chapter 1: Introduction to Modelling and Simulation; Chapter 2: An Overview of Modelling and Simulation; Chapter 3: Models Based on Simple Laws; Chapter 4: Models Based on Laws of Conservation; Chapter 5: Multiphase Systems without Reaction; Chapter 6: Multiphase Systems with Reaction; Chapter 7: Population Balance Models and Discrete-Event Models; Chapter 8: Artificial Neural Network-Based Models; Chapter 9: Model Validation and Sensitivity Analysis; Chapter 10: Case Studies; Chapter 11: Simulation of Large Plants
Appendix AAppendix B; Back Cover
Record Nr. UNINA-9910966426603321
Verma Ashok Kumar  
Boca Raton : , : Taylor & Francis, , [2015]
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Reaction engineering / / Shaofen Li ; translated and updated by Lin Li and Feng Xin
Reaction engineering / / Shaofen Li ; translated and updated by Lin Li and Feng Xin
Autore Li Shaofen
Pubbl/distr/stampa Oxford, [England] ; ; Cambridge, [Massachusetts] : , : Butterworth-Heinemann, , 2017
Descrizione fisica 1 online resource (678 pages) : illustrations
Disciplina 660.0151
Soggetto topico Chemical engineering - Mathematics
Chemical reactions
ISBN 0-12-410416-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910583095003321
Li Shaofen  
Oxford, [England] ; ; Cambridge, [Massachusetts] : , : Butterworth-Heinemann, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Stochastic global optimization [[electronic resource] ] : techniques and applications in chemical engineering / / editor, Gade Pandu Rangaiah
Stochastic global optimization [[electronic resource] ] : techniques and applications in chemical engineering / / editor, Gade Pandu Rangaiah
Pubbl/distr/stampa Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010
Descrizione fisica 1 online resource (722 p.)
Disciplina 519.62
Altri autori (Persone) RangaiahGade Pandu
Collana Advances in process systems engineering
Soggetto topico Chemical processes
Mathematical optimization
Stochastic processes
Chemical engineering - Mathematics
Soggetto genere / forma Electronic books.
ISBN 1-283-14433-6
9786613144331
981-4299-21-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; CONTENTS; Chapter 1 Introduction Gade Pandu Rangaiah; 1. Optimization in Chemical Engineering; 2. Examples Requiring Global Optimization; 2.1. Modified Himmelblau function; 2.2. Ellipsoid and hyperboloid intersection; 2.3. Reactor design example; 2.4. Stepped paraboloid function; 3. Global Optimization Techniques; 4. Scope and Organization of the Book; References; Exercises; Chapter 2 Formulation and Illustration of Luus-Jaakola Optimization Procedure Rein Luus; 1. Introduction; 2. LJ Optimization Procedure; 2.1. Example of an optimization problem-diet problem with 7 foods
2.2. Example 2-Alkylation process optimization2.3. Example 3 -Gibbs free energy minimization; 3. Handling Equality Constraints; 3.1. Example 4 -Geometric problem; 3.2. Example 5 -Design of columns; 4. Effect of Parameters; 4.1. Example 7 -Minimization of Rosenbrock function; 4.2. Example 8 -Maximization of the Shubert function; 5. Conclusions; References; Exercises; Chapter 3 Adaptive Random Search and Simulated Annealing Optimizers: Algorithms and Application Issues Jacek M. Je ̇zowski, Grzegorz Poplewski and Roman Bochenek; 1. Introduction and Motivation; 2. Adaptive Random Search Approach
2.1. Introduction3. Simulated Annealing with Simplex Method; 3.1. Introduction; 3.2. SA-S/1 algorithm; 3.3. Important mechanisms of SA-S/1 algorithm; 3.3.1. Initial simplex generation; 3.3.2. Determination of the initial temperature; 3.3.3. Acceptance criterion; 3.3.4. Cooling scheme-Temperature decrease; 3.3.5. Equilibrium criterion; 3.3.6. Stopping (convergence) criterion; 4. Tests, Control Parameters Settings and Important Application Issues; 4.1. Tests-Test problems and results; 4.2. Parameter settings for SA-S/1 algorithm; 4.2.1. Cooling scheme; 4.2.2. Influence of parameter INV
4.2.3. Influence of parameter K in the equilibrium criterion4.2.4. Influence of parameter γ in the adaptive cooling scheme; 4.2.5. Influence of parameter T min; 4.3. Results and analysis of tests for LJ-MM algorithm; 4.4. Selected application issues; 4.4.1. Dealing with inequality constraints; 4.4.2. Dealing with equality constraints; 4.5. Problem size effect; 5. Summary; Symbols; Superscripts; Acronyms; References; Exercises; Appendix A; Chapter 4 Genetic Algorithms in Process Engineering: Developments and Implementation Issues Abdunnaser Younes, Ali Elkamel and Shawki Areibi
1. Introduction2. Review of Chemical Engineering Applications; 3. The Basic Genetic Algorithm; 3.1. Encoding; 3.2. Fitness evaluation; 3.3. Initial population; 3.4. Selection; 3.4.1. Fitness proportionate selection; 3.4.2. Other selection schemes; 3.5. Crossover; 3.6. Mutation; 3.7. Theoretical aspects; 3.8. General characteristics; 3.8.1. Advantages; 3.8.2. Disadvantages; 3.9. When should we use GAs?; 4. Implementation Issues; 4.1. Primary decisions; 4.1.1. Encoding; 4.2. Complex evaluations; 4.2.1. Reducing the total number of evaluations; 4.2.2. Reducing the cost of individual evaluation
4.3. Constraint handling
Record Nr. UNINA-9910456228303321
Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic global optimization [[electronic resource] ] : techniques and applications in chemical engineering / / editor, Gade Pandu Rangaiah
Stochastic global optimization [[electronic resource] ] : techniques and applications in chemical engineering / / editor, Gade Pandu Rangaiah
Pubbl/distr/stampa Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010
Descrizione fisica 1 online resource (722 p.)
Disciplina 519.62
Altri autori (Persone) RangaiahGade Pandu
Collana Advances in process systems engineering
Soggetto topico Chemical processes
Mathematical optimization
Stochastic processes
Chemical engineering - Mathematics
ISBN 1-283-14433-6
9786613144331
981-4299-21-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; CONTENTS; Chapter 1 Introduction Gade Pandu Rangaiah; 1. Optimization in Chemical Engineering; 2. Examples Requiring Global Optimization; 2.1. Modified Himmelblau function; 2.2. Ellipsoid and hyperboloid intersection; 2.3. Reactor design example; 2.4. Stepped paraboloid function; 3. Global Optimization Techniques; 4. Scope and Organization of the Book; References; Exercises; Chapter 2 Formulation and Illustration of Luus-Jaakola Optimization Procedure Rein Luus; 1. Introduction; 2. LJ Optimization Procedure; 2.1. Example of an optimization problem-diet problem with 7 foods
2.2. Example 2-Alkylation process optimization2.3. Example 3 -Gibbs free energy minimization; 3. Handling Equality Constraints; 3.1. Example 4 -Geometric problem; 3.2. Example 5 -Design of columns; 4. Effect of Parameters; 4.1. Example 7 -Minimization of Rosenbrock function; 4.2. Example 8 -Maximization of the Shubert function; 5. Conclusions; References; Exercises; Chapter 3 Adaptive Random Search and Simulated Annealing Optimizers: Algorithms and Application Issues Jacek M. Je ̇zowski, Grzegorz Poplewski and Roman Bochenek; 1. Introduction and Motivation; 2. Adaptive Random Search Approach
2.1. Introduction3. Simulated Annealing with Simplex Method; 3.1. Introduction; 3.2. SA-S/1 algorithm; 3.3. Important mechanisms of SA-S/1 algorithm; 3.3.1. Initial simplex generation; 3.3.2. Determination of the initial temperature; 3.3.3. Acceptance criterion; 3.3.4. Cooling scheme-Temperature decrease; 3.3.5. Equilibrium criterion; 3.3.6. Stopping (convergence) criterion; 4. Tests, Control Parameters Settings and Important Application Issues; 4.1. Tests-Test problems and results; 4.2. Parameter settings for SA-S/1 algorithm; 4.2.1. Cooling scheme; 4.2.2. Influence of parameter INV
4.2.3. Influence of parameter K in the equilibrium criterion4.2.4. Influence of parameter γ in the adaptive cooling scheme; 4.2.5. Influence of parameter T min; 4.3. Results and analysis of tests for LJ-MM algorithm; 4.4. Selected application issues; 4.4.1. Dealing with inequality constraints; 4.4.2. Dealing with equality constraints; 4.5. Problem size effect; 5. Summary; Symbols; Superscripts; Acronyms; References; Exercises; Appendix A; Chapter 4 Genetic Algorithms in Process Engineering: Developments and Implementation Issues Abdunnaser Younes, Ali Elkamel and Shawki Areibi
1. Introduction2. Review of Chemical Engineering Applications; 3. The Basic Genetic Algorithm; 3.1. Encoding; 3.2. Fitness evaluation; 3.3. Initial population; 3.4. Selection; 3.4.1. Fitness proportionate selection; 3.4.2. Other selection schemes; 3.5. Crossover; 3.6. Mutation; 3.7. Theoretical aspects; 3.8. General characteristics; 3.8.1. Advantages; 3.8.2. Disadvantages; 3.9. When should we use GAs?; 4. Implementation Issues; 4.1. Primary decisions; 4.1.1. Encoding; 4.2. Complex evaluations; 4.2.1. Reducing the total number of evaluations; 4.2.2. Reducing the cost of individual evaluation
4.3. Constraint handling
Record Nr. UNINA-9910780885703321
Singapore ; ; Hackensack, N.J., : World Scientific Pub. Co., 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui