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Applied Numerical Methods for Chemical Engineers,

Edition 1

Editors: By Navid Mostoufi and Alkis Constantinides

Publication Date: 13 Sep 2022

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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.

Key Features

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

About the author

By Navid Mostoufi, Professor, School of Chemical Engineering, University of Tehran, Iran and Alkis Constantinides, Rutgers, The State University of New Jersey (deceased)

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

ISBN: 9780128229613

Page Count: 504

Retail Price :

9780081025994; 9780080966595; 9780128122563; 9780128122037; 9780128154793; 9780081029978; 9780123838360

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Chemical and biochemical engineering students taking numerical methods courses specific to chemical engineering at junior level and above. Practicing chemical and biochemical engineers looking to strengthen their knowledge of numerical methods