Logo

The Nature of Code: Simulating Natural Systems with Processing

Large book cover: The Nature of Code: Simulating Natural Systems with Processing

The Nature of Code: Simulating Natural Systems with Processing
by

Publisher: The Nature of Code
ISBN/ASIN: 0985930802
ISBN-13: 9780985930806
Number of pages: 520

Description:
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. Readers will progress from building a basic physics engine to creating intelligent moving objects and complex systems, setting the foundation for further experiments in generative design.

Home page url

Download or read it online for free here:
Read online
(online reading)

Similar books

Book cover: Modeling Simulation and Optimization: Focus on ApplicationsModeling Simulation and Optimization: Focus on Applications
by - InTech
This book provides modeling, simulation and optimization applications in the areas of medical care systems, genetics, business, ethics and linguistics, applying very sophisticated methods. Algorithms, 3-D modeling, virtual reality, and more.
(10146 views)
Book cover: Fuzzy SystemsFuzzy Systems
by - 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.
(7699 views)
Book cover: Dynamic ModellingDynamic Modelling
by - InTech
Dynamic modelling means modelling processes or systems, which are formed by attributes changing over time. Vehicles transmission and engines, reconfigurable microchips, earthquakes and the effect of diseases in organisms are presented in this book.
(9358 views)
Book cover: Modeling with Data: Tools and Techniques for Scientific ComputingModeling with Data: Tools and Techniques for Scientific Computing
by - Princeton University Press
The author explains how to execute computationally intensive analysis on large data sets, showing how to determine the best methods. The book will interest researchers and graduates in the social sciences, engineering, economics, and mathematics.
(11715 views)