Titre : | Applied numerical methods for chemical engineers |
Auteurs : | Navid Mostoufi ; A. Constantinides |
Type de document : | texte imprimé |
Editeur : | Amesterdam : Elsevier, 2022 |
Collection : | Academic press |
ISBN/ISSN/EAN : | 978-0-12-822961-3 |
Format : | 1 vol. (ix, 492 p.) / illustrations. / 24 cm |
Note générale : | Index |
Index. décimale : | 660 (Génie chimique et technologie connexes) |
Catégories : | |
Mots-clés: | Chemical engineering : Mathematics Chemical engineering : Statistics Numerical analysis : Computer programs Chemical engineering : Mathematics Numerical analysis : Computer programs |
Résumé : |
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. |
Note de contenu : |
Sommaire - Chapter 1 - Nonlinear equations. - Chapter 2 - Simultaneous linear algebraic equations. - Chapter 3 - Finite difference methods and interpolation. - Chapter 4 - Differentiation and integration. - Chapter 5 - Ordinary differential equations: initial value problems. - Chapter 6 - Ordinary differential equations: boundary value problems. - Chapter 7 - Partial differential equations. - Chapter 8 - Linear and nonlinear regression analysis. - Appendix - Orthogonal Polynomials. - Index. |
Côte titre : |
S8/90678 |
Exemplaires (1)
Cote | Support | Localisation | Disponibilité |
---|---|---|---|
S8/90678 | Livre | Bibliothèque centrale | Disponible |
Accueil