How Not to Be Wrong

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Jordan Ellenberg is a professor of mathematics at the University of Wisconsin-Madison, with a Ph.D. in mathematics from Harvard and an MFA in creative writing from Johns Hopkins. His areas of research specialization are number theory and algebraic geometry. He has written articles on mathematical topics in the New York Times, the Washington Post, Wired, the Wall Street Journal, the Boston Globe, and the Believer, and is a regular columnist for Slate.

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出版者:Penguin Press
作者:Jordan Ellenberg
出品人:
页数:480
译者:
出版时间:2014-5-29
价格:USD 27.95
装帧:Hardcover
isbn号码:9781594205224
丛书系列:
图书标签:
  • 数学 
  • 思维 
  • 科普 
  • 英文原版 
  • 方法论 
  • Mathematics 
  • 英文版 
  • 美国 
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The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands

The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.

Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?

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1.用数学方法解决日常问题。 2.媒体上,可以看到所谓的专家使用“线性回归分析法”判断社会问题。比如,以色列某地发生灾害伤亡比例多少,换算到中国相当于多少万人死亡,以此恐吓群众。 3.但其实这是不对的,很多问题不是线性的,还有很多因素影响其中。比如比较残忍程度,就...  

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数学这门学科似乎被误解很深,在大多数人眼里,数学是枯燥乏味的计算,是艰深复杂的公式和符号,是数学奥林匹克竞赛。但是另一方面,数学家试图告诉你“数学好玩”,数学可以深入到日常生活中的应用当中去。 美国威斯康辛大学数学教授乔丹·艾伦伯格在《How Not to be Wrong》...  

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《魔鬼数学》里有一道很难的数学题,论一根缝衣针掉落在地板上,与地板缝相交的概率是多少?缝衣针的长度正好等于地板缝的宽度。 原问题的提出者叫布封(Georges-Louis LeClerc, Comte de Buffon),这个问题也被史称为**布封的面条问题**,使用高阶方式解决的家伙叫约瑟夫-埃米...  

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读了一半不想读了

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没读完就打一星。有这个时间读这本书不如读一下数理统计课本。

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Existence那章看到起鸡皮疙瘩

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没读完就打一星。有这个时间读这本书不如读一下数理统计课本。

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读了一半不想读了

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