Title
Numerical Methods For Chemical Engineers With Matlab Applications,Used
Delivery time: 8-12 business days (International)
Master Numerical Methods Using Matlab, Today'S Leading Software For Problem Solving.This Complete Guide To Numerical Methods In Chemical Engineering Is The First To Take Full Advantage Of Matlab'S Powerful Calculation Environment. Every Chapter Contains Several Examples Using General Matlab Functions That Implement The Method And Can Also Be Applied To Many Other Problems In The Same Category.The Authors Begin By Introducing The Solution Of Nonlinear Equations Using Several Standard Approaches, Including Methods Of Successive Substitution And Linear Interpolation; The Wegstein Method, The Newtonraphson Method; The Eigenvalue Method; And Synthetic Division Algorithms. With These Fundamentals In Hand, They Move On To Simultaneous Linear Algebraic Equations, Covering Matrix And Vector Operations; Cramer'S Rule; Gauss Methods; The Jacobi Method; And The Characteristicvalue Problem. Additional Coverage Includes:Finite Difference Methods, And Interpolation Of Equally And Unequally Spaced Pointsnumerical Differentiation And Integration, Including Differentiation By Backward, Forward, And Central Finite Differences; Newtoncotes Formulas; And The Gauss Quadraturetwo Detailed Chapters On Ordinary And Partial Differential Equationslinear And Nonlinear Regression Analyses, Including Least Squares, Estimated Vector Of Parameters, Method Of Steepest Descent, Gaussnewton Method, Marquardt Method, Newton Method, And Multiple Nonlinear Regressionthe Numerical Methods Covered Here Represent Virtually All Of Those Commonly Used By Practicing Chemical Engineers. The Focus On Matlab Enables Readers To Accomplish More, With Less Complexity, Than Was Possible With Traditional Fortran. For Those Unfamiliar With Matlab, A Brief Introduction Is Provided As An Appendix.Over 60+ Matlab Examples, Methods, And Function Scripts Are Covered, And All Of Them Are Included On The Book'S Cd
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We provide a 2-year limited warranty, from the date of purchase for all our products.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What topics are covered in 'Numerical Methods for Chemical Engineers With Matlab Applications'? A: The book covers a wide range of topics including nonlinear equations, simultaneous linear algebraic equations, finite difference methods, numerical differentiation and integration, ordinary and partial differential equations, and regression analyses.
- Q: Is this book suitable for beginners in MATLAB? A: Yes, the book includes a brief introduction to MATLAB in an appendix, making it accessible for those who are new to the software.
- Q: How many pages does the book have? A: The book contains 560 pages, providing comprehensive coverage of numerical methods in chemical engineering.
- Q: What is the binding type of this book? A: The book is available in hardcover binding, ensuring durability and longevity.
- Q: Who is the author of this book? A: The book is authored by Alkis Constantinides, who is knowledgeable in the field of chemical engineering.
- Q: Are there practical examples provided in the book? A: Yes, the book includes over 60 MATLAB examples, methods, and function scripts that illustrate the numerical methods discussed.
- Q: What is the publication date of this book? A: The book was published on January 1, 1999.
- Q: Can this book help with understanding numerical methods for chemical engineering? A: Absolutely, it provides a complete guide to numerical methods used by practicing chemical engineers, with a focus on practical applications.
- Q: Does the book include a CD with additional resources? A: Yes, the book comes with a CD that includes all MATLAB examples, methods, and function scripts covered in the text.
- Q: What level of expertise is required to use this book effectively? A: While the book is comprehensive, it is designed for readers with a basic understanding of chemical engineering and some familiarity with MATLAB.