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
##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##vector, forces , oscillation , particle systems , physics libraries , autonomous agents , cellular automata , fractals , the evolution of code , neural networks
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##processing入門=橙+粉+藍
評分##強大但還沒吃透的一本書
評分##感覺自己寫的代碼脫胎換骨
評分##Processing 看這個就夠瞭，免費的。如果運動學都記得，直接看代碼就行。 56789 章開始比較有意思。
評分##強大但還沒吃透的一本書
評分##好多processing栗子啊！
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