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When Least is Best

 
Paul J. Nahin (Author)
Synopsis What is the best way to photograph a speeding bullet? Why does light move through glass in the leat amount of time possible? How can lost hikers find their way out of a forest? What will rainbows look like in the future? Why do soap bubbles have a shape that gives them the least area? By combining the mathematical history of extrema with contemporary examples, Paul J. Nahin answers these intriguing questions and more inextremes-with values becoming as small (or as large) as possible-and how mathematicians over the centuries have struggled to calculate these problems of minima and maxima. From medieval writings to the development of modern calculus to the current field of optimization, Nahin tells the story of Dido’s problem, Fermat and Descartes, Torricelli, Bishop Berkeley, Goldschmidt, and more. Along the way, he explores how to build the shortest bridge possible between two towns, how to shop for garbage bags, how to vary speed during a race, and how to make the perfect basketball shot. Written in a conversational tone and requiring only an early undergraduate level of mathematical knowledge, When Least is Best is full of fascinating examples and ready-to-try-at-home experiments. This is the first book on optimization written for a wide audience, and math enthusiasts of all backgrounds will delight in its lively topics.
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About the author

Paul J. Nahin

Paul J. Nahin is Professor of Electrical Engineering at the University of New Hampshire. He is the author of many books, including the bestselling an Imaginary Tale: The Story of the Square Root of Munus One and Duelling Idiots and Other Probability Puzzlers (both Universities Press).

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Bibliographic information

Title When Least is Best
Author Paul J. Nahin
Format Softcover
Date published: 01.01.2005
Edition 1st ed.
Language: English
isbn 8173715106
length xviii+370p., Figures; Appendices; Index; 25cm.