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Review of When Least is Best. How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible

机译:回顾什么时候最好。数学家如何发现许多巧妙的方法来使事物尽可能的小(或大)

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摘要

There are two good things in History of Mathematics: History (because we like to hear about older times, it makes us feel better, cleverer, healthier, happier) and Mathematics (because it is the common language we have with people from the past, and because it's fun). But History of Mathematics can also be quite dry, for example in scholarly publications dealing with some unknown mathematician using obscure notations... Not in this book. The author describes a long series of problems together with their solutions (or solutions-wannabe). The common theme is optimization: minimize/maximize physical or abstract quantities, length, time, area, volume, cost, etc. Unlike history books, topics are zigzagging on the timeline (and that is good practice to keep the reader motivated). But between the lines you can feel a steady progress in concepts and methods. It is a long way from Polybius to dynamic programming, and one enjoys every step of it.
机译:数学史有两件好事:历史(因为我们喜欢听一些更古老的时代,它使我们感觉更好,更聪明,更健康,更快乐)和数学(因为这是我们与过去人们的共同语言,并且因为它很有趣)。但是“数学史”也可能很枯燥,例如在学术出版物中使用晦涩的记号来处理一些未知的数学家...这本书中没有。作者描述了一系列的问题及其解决方案(或解决方案-想要)。常见主题是优化:最小化/最大化物理或抽象的数量,长度,时间,面积,数量,成本等。与历史书籍不同,主题在时间轴上呈锯齿状(这是使读者保持积极性的良好做法)。但是,您可以在概念和方法之间感觉到稳定的进步。从Polybius到动态编程,这是很长的路要走,而且每一步都很有趣。

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