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##Shiffman! Shiffman!
評分##Shiffman! Shiffman!
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##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##感覺把狀態機加進去就更好瞭
評分看完一周目纔覺得processing總算是入瞭門 世界觀的維度也延展瞭
評分看完一周目纔覺得processing總算是入瞭門 世界觀的維度也延展瞭
相關圖書
本站所有內容均為互聯網搜尋引擎提供的公開搜索信息，本站不存儲任何數據與內容，任何內容與數據均與本站無關，如有需要請聯繫相關搜索引擎包括但不限於百度，google,bing,sogou 等
© 2025 book.teaonline.club All Rights Reserved. 圖書大百科 版權所有