Chemical Engineering Computation with Matlab(r)

Chemical Engineering Computation with MATLAB(R), Second Edition continues to present basic to advanced levels of problem-solving techniques using MATLAB as the computation environment. The Second Edition provides even more examples and problems extracted from core chemical engineering subject areas and all code is updated to MATLAB version 2020. It also includes a new chapter on computational intelligence and:

• Offers exercises and extensive problem-solving instruction and solutions for various problems
• Features solutions developed using fundamental principles to construct mathematical models and an equation-oriented approach to generate numerical results
• Delivers a wealth of examples to demonstrate the implementation of various problem-solving approaches and methodologies for problem formulation, problem solving, analysis, and presentation, as well as visualization and documentation of results
• Includes an appendix offering an introduction to MATLAB for readers unfamiliar with the program, which will allow them to write their own MATLAB programs and follow the examples in the book
• Provides aid with advanced problems that are often encountered in graduate research and industrial operations, such as nonlinear regression, parameter estimation in differential systems, two-point boundary value problems and partial differential equations and optimization

This essential textbook readies engineering students, researchers, and professionals to be proficient in the use of MATLAB to solve sophisticated real-world problems within the interdisciplinary field of chemical engineering. The text features a solutions manual, lecture slides, and MATLAB program files._

Yeong Koo Yeo teaches chemical engineering at the College of Engineering of Hanyang University, Seoul, South Korea. He earned a BA (1979) and an MS (1982) in chemical engineering at Seoul National University and a PhD (1986) in chemical engineering at Auburn University. Before joining the Hanyang faculty in 1993, Professor Yeo was a senior researcher at KIST. He has taught various courses, such as process control, plant design, process analysis, optimization, computational process design, and model predictive control. A leading authority on process control and application of MATLAB, he is the author of four books. Introduction and Application of MATLAB (5th ed., 2019) has played a key role in establishing technical computing as an important field. Modern Process Control Engineering (3rd ed., 2020) has played a key role in establishing practical control education. Professor Yeo has also authored more than 149 articles in leading academic journals, such as Industrial and Engineering Chemistry Research, IEEE Transactions on Automatic Control, Chemical Engineering Communication, Japanese Journal of Chemical Engineering, Korean Journal of Chemical Engineering, and Hwahak Gonhak. His research interests include process control, process modeling and simulation, process artificial intelligence, and process optimization.