MATLAB Numerical Methods with Chemical Engineering Applications

by Kamal I.M. Al-Malah

Overview

A practical, professional guide to MATLAB computational techniques and engineering applications

MATLAB Numerical Methods with Chemical Engineering Applications shows you, step by step, how to use MATLAB® to model and simulate physical problems in the chemical engineering realm. Written for MATLAB 7.11, this hands-on resource contains concise explanations of essential MATLAB commands, as well as easy-to-follow instructions for using the programming features, graphical capabilities, and desktop interface.

Every step needed toward the final solution is algorithmically explained via snapshots of the MATLAB platform in parallel with the text. End-of-chapter problems help you practice what you've learned. Master this powerful computational tool using this detailed, self-teaching guide.

COVERAGE INCLUDES:

• MATLAB basics
• Matrices
• MATLAB scripting language: M-file
• Image and image analysis
• Curve-fitting
• Numerical integration
• Solving differential equations
• A system of algebraic equations
• Statistics
• Chemical engineering applications
• MATLAB Graphical User Interface Design Environment (GUIDE)

Product Details

ISBN-13:	9780071831291
Publisher:	McGraw Hill LLC
Publication date:	07/31/2013
Sold by:	Barnes & Noble
Format:	eBook
Pages:	384
File size:	36 MB
Note:	This product may take a few minutes to download.

About the Author

Kamal I.M. Al-Malah, Ph.D., is head of the department of chemical engineering at the University of Ha’il in Saudi Arabia. He holds B.S., M.S., and Ph.D. degrees in chemical/biochemical engineering. Dr. Al-Malah graduated from Oregon State University in 1993, and his area of specialty during his M.S. and Ph.D. programs dealt with protein interactions and behavior at interfaces in biological systems. He currently researches in the realm of chemical and biochemical engineering and food engineering. Additionally, Dr. Al-Malah is a software developer and has created Windows-based software for engineering applications and modeling of physical/biophysical systems.