**Physical Modeling in MATLAB**

by Allen Downey

**Publisher**: Green Tea Press 2014**ISBN/ASIN**: 0615185509**ISBN-13**: 9780615185507**Number of pages**: 155

**Description**:

An introductory textbook for people who have not programmed before. Covers basic MATLAB programming with emphasis on modeling and simulation of physical systems. The book starts with scalar values and works up to vectors and matrices very gradually. This approach is good for beginning programmers, because it is hard to understand composite objects until you understand basic programming semantics.

Download or read it online for free here:

**Download link**

(790KB, PDF)

## Similar books

**Simulating Humans: Computer Graphics Animation and Control**

by

**N. I. Badler, C. B. Phillips, B. L. Webber**-

**Oxford University Press, USA**

This volume presents the problem of providing a surrogate or synthetic human for designers and engineers. The book is intended for engineers interested in understanding how a computer surrogate human can augment their analyses of designed environments.

(

**23044**views)

**The Nature of Code: Simulating Natural Systems with Processing**

by

**Daniel Shiffman**-

**The Nature of Code**

This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results.

(

**11763**views)

**Computer Simulation Techniques - The Definitive Introduction**

by

**Harry Perros**-

**NC State University**

The generation of pseudo-random numbers, the generation of stochastic variates, simulation designs, estimation techniques for analyzing endogenously created data, validation of a simulation model, variance reduction techniques, etc.

(

**16065**views)

**Fuzzy Systems**

by

**Ahmad Taher Azar**-

**InTech**

This book is intended to present fuzzy logic systems and useful applications with a simple approach. It is written at a level suitable for use in a graduate course on applications of fuzzy systems in decision support, nonlinear modeling and control.

(

**11365**views)