Applied numerical methods for chemical engineers:
Applied Numerical Methods for Chemical Engineers emphasizes the derivation of a variety of numerical methods and their application to the solution of engineering problems, with special attention to problems in the chemical engineering field. These algorithms encompass linear and nonlinear algebraic...
Gespeichert in:
| Hauptverfasser: | , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Academic Press
[2023]
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| Schlagworte: | |
| Zusammenfassung: | Applied Numerical Methods for Chemical Engineers emphasizes the derivation of a variety of numerical methods and their application to the solution of engineering problems, with special attention to problems in the chemical engineering field. These algorithms encompass linear and nonlinear algebraic equations, eigenvalue problems, finite difference methods, interpolation, differentiation and integration, ordinary differential equations, boundary value problems, partial differential equations, and linear and nonlinear regression analysis. MATLAB is adopted as the calculation environment throughout the book because of its ability to perform all the calculations in matrix form, its large library of built-in functions, its strong structural language, and its rich graphical visualization tools. Through this book, students and other users will learn about the basic features, advantages and disadvantages of various numerical methods, learn and practice many useful m-files developed for different numerical methods in addition to the MATLAB built-in solvers, develop and set up mathematical models for problems commonly encountered in chemical engineering, and solve chemical engineering related problems through examples and after-chapter problems with MATLAB by creating application m-files.- Clearly and concisely develops a variety of numerical methods and applies them to the solution of chemical engineering problems. These algorithms encompass linear and nonlinear algebraic equations, eigenvalue problems, finite difference methods, interpolation, linear and nonlinear regression analysis, differentiation and integration, ordinary differential equations, boundary value problems, and partial differential equations- Includes systematic development of the calculus of finite differences and its application to the integration of differential equations, and a detailed discussion of nonlinear regression analysis, with powerful programs for implementing multivariable nonlinear regression and statistical analysis of the results- Makes extensive use of MATLAB and Excel, with most of the methods discussed implemented into general MATLAB functions. All the MATLAB-language scripts developed are listed in the text and included in the book's companion website- Includes numerous real-world examples and homework problems drawn from the field of chemical and biochemical engineering |
| Beschreibung: | 1. Nonlinear Equations; 2. Simultaneous Linear Algebraic Equations; 3. Finite Difference Methods and Interpolation; 4. Differentiation and Integration; 5. Ordinary Differential Equations: Initial Value Problems; 6. Ordinary Differential Equations: Boundary Value Problems; 7. Partial Differential Equations; 8. Linear and Nonlinear Regression Analysis |
| Beschreibung: | ix, 492 Seiten Illustrationen, Diagramme 235 mm |
| ISBN: | 9780128229613 |
Internformat
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| 500 | |a 1. Nonlinear Equations; 2. Simultaneous Linear Algebraic Equations; 3. Finite Difference Methods and Interpolation; 4. Differentiation and Integration; 5. Ordinary Differential Equations: Initial Value Problems; 6. Ordinary Differential Equations: Boundary Value Problems; 7. Partial Differential Equations; 8. Linear and Nonlinear Regression Analysis | ||
| 520 | |a Applied Numerical Methods for Chemical Engineers emphasizes the derivation of a variety of numerical methods and their application to the solution of engineering problems, with special attention to problems in the chemical engineering field. These algorithms encompass linear and nonlinear algebraic equations, eigenvalue problems, finite difference methods, interpolation, differentiation and integration, ordinary differential equations, boundary value problems, partial differential equations, and linear and nonlinear regression analysis. MATLAB is adopted as the calculation environment throughout the book because of its ability to perform all the calculations in matrix form, its large library of built-in functions, its strong structural language, and its rich graphical visualization tools. | ||
| 520 | |a Through this book, students and other users will learn about the basic features, advantages and disadvantages of various numerical methods, learn and practice many useful m-files developed for different numerical methods in addition to the MATLAB built-in solvers, develop and set up mathematical models for problems commonly encountered in chemical engineering, and solve chemical engineering related problems through examples and after-chapter problems with MATLAB by creating application m-files.- Clearly and concisely develops a variety of numerical methods and applies them to the solution of chemical engineering problems. | ||
| 520 | |a These algorithms encompass linear and nonlinear algebraic equations, eigenvalue problems, finite difference methods, interpolation, linear and nonlinear regression analysis, differentiation and integration, ordinary differential equations, boundary value problems, and partial differential equations- Includes systematic development of the calculus of finite differences and its application to the integration of differential equations, and a detailed discussion of nonlinear regression analysis, with powerful programs for implementing multivariable nonlinear regression and statistical analysis of the results- Makes extensive use of MATLAB and Excel, with most of the methods discussed implemented into general MATLAB functions. All the MATLAB-language scripts developed are listed in the text and included in the book's companion website- Includes numerous real-world examples and homework problems drawn from the field of chemical and biochemical engineering | ||
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| isbn | 9780128229613 |
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| spelling | Mostoufi, Navid Verfasser aut Applied numerical methods for chemical engineers Navid Mostoufi, Alkis Constantinides London Academic Press [2023] ix, 492 Seiten Illustrationen, Diagramme 235 mm txt rdacontent n rdamedia nc rdacarrier 1. Nonlinear Equations; 2. Simultaneous Linear Algebraic Equations; 3. Finite Difference Methods and Interpolation; 4. Differentiation and Integration; 5. Ordinary Differential Equations: Initial Value Problems; 6. Ordinary Differential Equations: Boundary Value Problems; 7. Partial Differential Equations; 8. Linear and Nonlinear Regression Analysis Applied Numerical Methods for Chemical Engineers emphasizes the derivation of a variety of numerical methods and their application to the solution of engineering problems, with special attention to problems in the chemical engineering field. These algorithms encompass linear and nonlinear algebraic equations, eigenvalue problems, finite difference methods, interpolation, differentiation and integration, ordinary differential equations, boundary value problems, partial differential equations, and linear and nonlinear regression analysis. MATLAB is adopted as the calculation environment throughout the book because of its ability to perform all the calculations in matrix form, its large library of built-in functions, its strong structural language, and its rich graphical visualization tools. Through this book, students and other users will learn about the basic features, advantages and disadvantages of various numerical methods, learn and practice many useful m-files developed for different numerical methods in addition to the MATLAB built-in solvers, develop and set up mathematical models for problems commonly encountered in chemical engineering, and solve chemical engineering related problems through examples and after-chapter problems with MATLAB by creating application m-files.- Clearly and concisely develops a variety of numerical methods and applies them to the solution of chemical engineering problems. These algorithms encompass linear and nonlinear algebraic equations, eigenvalue problems, finite difference methods, interpolation, linear and nonlinear regression analysis, differentiation and integration, ordinary differential equations, boundary value problems, and partial differential equations- Includes systematic development of the calculus of finite differences and its application to the integration of differential equations, and a detailed discussion of nonlinear regression analysis, with powerful programs for implementing multivariable nonlinear regression and statistical analysis of the results- Makes extensive use of MATLAB and Excel, with most of the methods discussed implemented into general MATLAB functions. All the MATLAB-language scripts developed are listed in the text and included in the book's companion website- Includes numerous real-world examples and homework problems drawn from the field of chemical and biochemical engineering bicssc Constantinides, Alkis 1941-2018 Verfasser (DE-588)1145362737 aut |
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| title | Applied numerical methods for chemical engineers |
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| title_full | Applied numerical methods for chemical engineers Navid Mostoufi, Alkis Constantinides |
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| title_full_unstemmed | Applied numerical methods for chemical engineers Navid Mostoufi, Alkis Constantinides |
| title_short | Applied numerical methods for chemical engineers |
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