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
##強大但還沒吃透的一本書
評分##結閤高中物理的編程教學
評分##結閤高中物理的編程教學
評分##結閤高中物理的編程教學
評分##這本都有lol，當年調研berlin noise和gaussian distribution時問彆人要的coding書，簡明易懂，我這種數學渣都看得懂（雖然是很簡單的代碼lol
評分##強大但還沒吃透的一本書
評分##processing入門=橙+粉+藍
評分##這書從封麵到內容...不知道怎麼形容瞭...kicking ass!
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。
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