具体描述
How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? 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. Subjects covered include forces, trigonometry, fractals, cellular automata, self-organization, and genetic algorithms. The book's examples are written in Processing, an open-source language and development environment built on top of the Java programming language. On the book's website (http://www.natureofcode.com), the examples run in the browser via Processing's JavaScript mode.
用户评价
##vector, forces , oscillation , particle systems , physics libraries , autonomous agents , cellular automata , fractals , the evolution of code , neural networks
评分##Shiffman! Shiffman!
评分##够硬，youtube上作者的视频很棒，简单的个体行为构成复杂难以预测的群体，联想到 《失控》
评分##vector, forces , oscillation , particle systems , physics libraries , autonomous agents , cellular automata , fractals , the evolution of code , neural networks
评分##这本都有lol，当年调研berlin noise和gaussian distribution时问别人要的coding书，简明易懂，我这种数学渣都看得懂（虽然是很简单的代码lol
评分##感觉自己写的代码脱胎换骨
评分##結合高中物理的編程教學
评分##够硬，youtube上作者的视频很棒，简单的个体行为构成复杂难以预测的群体，联想到 《失控》
评分##然后还是觉得程序艺术只在很窄的范围内才“艺术”
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