The Nature of Code: Simulating Natural Systems with Processing
by Daniel Shiffman
Publisher: The Nature of Code 2012
Number of pages: 520
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:
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.
by A.I. Zhmakin - arXiv
Simulation of human motion is the subject of study in a number of disciplines: Biomechanics, Robotics, Control Theory, Neurophysiology, Ergonomics. Since the author has never visited any of these fields, this review is a passer-by's impression.
by Giuseppe Petrone, Giuliano Cammarata - InTech
This book collects research studies concerning modeling and simulation of physical systems in a very wide range of applications: micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, etc.
by Ben Klemens - 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.