📖 Overview
Physical Modeling in MATLAB teaches students to use MATLAB for modeling real-world physical systems and phenomena. The book guides readers through computational methods while demonstrating how to translate physical problems into mathematical models.
The text progresses from basic MATLAB programming concepts to differential equations and numerical methods. Each chapter contains examples and exercises focused on physics applications, including projectile motion, orbital dynamics, and oscillating systems.
The book emphasizes practical implementation over theoretical mathematics, with code samples and debugging strategies throughout. Step-by-step explanations show how to build models incrementally, test their accuracy, and refine the results.
This approach bridges the gap between abstract physics concepts and computer simulation, offering students tools to explore complex systems through hands-on programming. The material connects computational thinking with physical intuition, making it relevant for both engineering and science students.
👀 Reviews
Very limited reviews exist online for this book, making it difficult to gauge broad reader sentiment.
Readers appreciated:
- Clear explanations of MATLAB programming concepts
- Hands-on examples focused on physics and engineering problems
- Free availability as an open textbook
- Step-by-step approach to building simulations
Main criticisms:
- Limited coverage of advanced MATLAB features
- Some examples lack detailed explanation
- Requires basic physics knowledge
Available Ratings:
Goodreads: No ratings
Amazon: Not listed for sale/review
Google Books: No ratings
Worth noting that while this book is used in some university courses, most discussion appears in academic contexts rather than public reviews. The small number of findable reader comments limits the ability to draw broad conclusions about reception. Most mentions are from course syllabi or academic repositories where the book is hosted.
📚 Similar books
Numerical Methods with MATLAB by Amos Gilat
Focuses on implementing numerical methods through MATLAB code with practical engineering applications.
Essential MATLAB for Scientists and Engineers by Brian Hahn and Daniel Valentine Builds programming concepts through physics and engineering examples with step-by-step MATLAB implementations.
MATLAB for Engineers by Holly Moore Presents MATLAB programming through engineering problem-solving with an emphasis on mathematical modeling.
Applied Numerical Methods with MATLAB by Steven Chapra Connects mathematical theory to MATLAB implementation through engineering and scientific computing examples.
Mastering MATLAB by Duane Hanselman and Bruce Littlefield Covers MATLAB programming fundamentals through physical system modeling and simulation applications.
Essential MATLAB for Scientists and Engineers by Brian Hahn and Daniel Valentine Builds programming concepts through physics and engineering examples with step-by-step MATLAB implementations.
MATLAB for Engineers by Holly Moore Presents MATLAB programming through engineering problem-solving with an emphasis on mathematical modeling.
Applied Numerical Methods with MATLAB by Steven Chapra Connects mathematical theory to MATLAB implementation through engineering and scientific computing examples.
Mastering MATLAB by Duane Hanselman and Bruce Littlefield Covers MATLAB programming fundamentals through physical system modeling and simulation applications.
🤔 Interesting facts
🔵 Allen Downey has made this book, along with several others, freely available under a Creative Commons license to promote open education and access to programming resources.
🔵 The book teaches physical modeling using everyday examples students can relate to, like falling objects and predicting projectile motion, rather than abstract mathematical concepts.
🔵 Physical Modeling in MATLAB is part of a larger series by Downey that includes "Think Python," "Think Java," and "Think Complexity," all following similar practical teaching approaches.
🔵 MATLAB, the programming language used in the book, was originally created in the 1970s to give students access to matrix software without having to learn Fortran.
🔵 The book bridges the gap between programming and physics by showing how computer simulations can help visualize and understand physical phenomena that would be difficult to observe in real life.