Irfan Turk - Practical MATLAB: With Modeling, Simulation, and Processing Projects

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/9781484252802 . For more detailed information, please visit http://www.apress.com/source-code .

This book emerged as a result of programming lecture notes, experiences gathered from different computational algorithms, and reading about mathematical models of real-life problems. The purposes of this book are to introduce and teach MATLAB as a programming language and apply the programming concepts to computational models in finance, numerical methods, simulation of randomness, analyzing data with basic statistics, visualization and animation, computational biology, signal processing, image processing, and sound processing. Apart from these illustrations, the book teaches how to create applications with graphical user interfaces (GUIs).

The intended audiences of this project are people who want to learn MATLAB as a programming language, users of MATLAB who want to excel in problem solving, and advanced users of the language looking to prepare applications with GUIs.

The book has two parts. In the first part, the general concepts of the language such as variables, data types, and common built-in functions are explained. Besides these topics, fundamentals of the language such as algorithms, m files, selection structures, loops, and user-defined functions are presented. In the second part of the book, I illustrate solving problems from different areas. In the examples, the algorithmic approach is explained when necessary. Every new item, whether it is a function or a command, is explained so that the reader can understand the subjects and does not miss anything new.

This product can be used as a textbook, or as supplemental material for undergraduate or low-level one-semester graduate courses in colleges or universities. These courses might include but are not limited to computer programming with MATLAB, science and engineering problem solving with MATLAB, scientific computing, and mathematical modeling with MATLAB. The first part of the book should be taught in such courses. The chapters do not depend on each other in the second part of the book. Therefore, topics from the second part can be selected freely depending on the needs of the class. Prior to learning the content of this book, knowledge of mathematics at the precalculus level helps to understand the modeling concepts, so this is recommended as a prerequisite to taking this course. Although a background in any programming language might help to grasp the algorithms used in the examples, it is not a prerequisite. The book is also a practical resource and textbook for individual learners. It provides 152 illustrative and instructive examples including the solutions along with the codes.

Source code for this book is accessible via the Download Source Code button located at www.apress.com/9781484252802 .

I would like to mention and thank a few people who helped me in the preparation of this book. I especially thank Steve Anglin, Associate Editorial Director of Apress, who allowed me the honor of authoring this book. I also gratefully thank Mark Powers, Editorial Operations Manager of Apress, who helped me and guided me in bringing this product to life. I also thank Matthew Moodie, Lead Development Editor at Apress, for being a part of this team, and Karpur Shukla, the reviewer of this project. I would like to thank my primary PhD supervisor, Associate Professor Dr. Maksat Ashyraliyev from the Software Engineering Department of Bahcesehir University, for his priceless contributions to my skills. Finally, thanks go to my friend and colleague Ibrahim Emre Celikkale for his recommendations.