
Applied Numerical Methods for Chemical Engineers
Academic Press
Published on 18. August 2022
Book
Paperback/Softback
504 pages
978-0-12-822961-3 (ISBN)
Description
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Dimensions
Height: 233 mm
Width: 189 mm
Thickness: 20 mm
Weight
818 gr
ISBN-13
978-0-12-822961-3 (9780128229613)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Navid Mostoufi | Alkis Constantinides
Applied Numerical Methods for Chemical Engineers
E-Book
05/2022
Academic Press
€61.99
Available for download
Persons
Navid Mostoufi is Professor of Chemical Engineering at the University of Tehran. He has taught advanced mathematics and fluid mechanics courses for over 16 years. His research interests include process modeling, simulation and optimization, and fluidization. He holds a Ph.D. in Fluidization from Canada's Ecole Polytechnique de Montreal. Professor Mostoufi has more than 270 publications in major international journals and conferences and is co-author of the textbook "Numerical Methods for Chemical Engineers with MATLAB Applications?, published by Pearson/Prentice Hall in 1999 and "Coupled CFD-DEM Modeling: Formulation, Implementation and Application to Multiphase Flows?, published by Wiley in 2016. He is the Founder and Editor-in-Chief of Chemical Product and Process Modeling (http://www.degruyter.com/view/j/cppm) published by Walter de Gruyter GmbH, Germany and winner of University of Tehran's International Award, 2015. He is also the University of Tehran's distinguished researcher, 2013. Prof. Mostoufi is now the secretary of the Iranian Association of Chemical Engineers. Alkis Constantinides was Emeritus Professor of Chemical and Biochemical Engineering at Rutgers University, with nearly forty years of academic and industrial experience. He was the author of the textbook Applied Numerical Methods with Personal Computers and the co-author of the textbook Numerical Methods for Chemical Engineers with MATLAB Applications.
Author
Professor, School of Chemical Engineering, University of Tehran, Iran
Rutgers, The State University of New Jersey (deceased)
Content
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
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