混沌
Chaos
James Gleick · 初版 1987 年
45人推荐
63位读者提及
71次提及
为什么值得读
- 文笔艺术优美，令人沉浸于科普叙事中
- 生动普及分形集与混沌理论的发展历史
- 探讨前沿科学理论对现实社会的深刻影响
作者深入浅出地描绘了研究自然界复杂性增长的科学家们，是如何在混沌之中发现秩序与规律的。他解释了非线性、蝴蝶效应、普适常数、分形与奇异吸引子等核心概念，并系统梳理了 Mitchell J. Feigenbaum、Edward Lorenz 及 Benoit Mandelbrot 等知名科学家的开创性工作。
Hacker News 上怎么说
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……先看 Lewis 的）。如果你有兴趣读一读关于初创 HFT/对冲基金的精彩记述，不妨淘一本 Thomas Bass 写的《The Predictors》二手书（为了能更深入理解，先读 James Gleick 的《Chaos》）。
…Lewis first). If you're interested in reading an excellent account of a startup HFT/hedge fund, it's worth ordering a secondhand copy of The Predictors by Thomas Bass (for a fuller appreciation, read Chaos by James Gleick first).
1987 年有一本名为《Chaos》的科普书，作者是 James Gleick，内容自然是关于混沌理论的。书中有一处描述了 Mandelbrot/Julia 集之类的内容。有一页底部的脚注描述了……
In 1987 there was a pop-science book called “Chaos” by James Gleick that was, naturally, about chaos theory. At one point it described things like Mandelbrot/Julia sets and their ilk. There was one page that had a footnote at the bottom that described…
James Gleick 的《Chaos》[0]（混沌理论史）和《The Information》[1]（信息论史）写得如此优美巧妙，你甚至可能会忘记它们是技术类书籍。简直堪称（科学史）写作的……
James Gleick‘s “Chaos”[0] (history of chaos theory) and “The Information”[1] (history of information theory) are so beautifully and artfully written you might forget they’re technical. As close as (history of) science writing…
James Gleick 的《Chaos》给了我极大的启发
Chaos by James Gleick was wildly inspiring to me
太酷了——我刚在 Kindle 上买了。Gleick 是深挖某个有趣科学分支及其如何影响社会的大师。上世纪 80 年代，受到他那本精彩的《Chaos》的启发，我在我的第一本 Springer Verlag 出版的书里加入了 Common Lisp 混沌理论示例。我等不及要好好品读这本新书了。
Cool - I just bought it for my Kindle. Gleick is a master of digging into some interesting branch of science and how it affects society. In the 1980s, I added Common Lisp chaos theory examples to my first Springer Verlag book, inspired by his wonderful book Chaos. I can't wait to savor the new book.
James Gleick 的《Chaos》开头几章讲的是气象学。读的时候我被彻底震撼了，这些数学系统对初始条件有着如此敏感的依赖性，以至于展现出分形般的复杂性。非常……
The introductory chapters of James Gleick's Chaos are about meteorology. When I read it I was blown away by the fact that these mathematical systems had sensitive dependence on initial conditions to such a degree that there was fractal complexity. Very…