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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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] | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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] | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||