具體描述
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.
用戶評價
##vector, forces , oscillation , particle systems , physics libraries , autonomous agents , cellular automata , fractals , the evolution of code , neural networks
評分##YouTube上最有活力的老師！
評分##感覺自己寫的代碼脫胎換骨
評分##processing入門=橙+粉+藍
評分##這真的不是一本高中物理書嗎？
評分##感覺把狀態機加進去就更好瞭
評分##夠硬，youtube上作者的視頻很棒，簡單的個體行為構成復雜難以預測的群體，聯想到 《失控》
評分##這真的不是一本高中物理書嗎？
評分##Daniel Shiffman 是世界上最有意思最可愛的編程老師！
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