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When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make
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When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible Paperback - 2021

by Paul Nahin

From the publisher

A mathematical journey through the most fascinating problems of extremes and how to solve them

What is the best way to photograph a speeding bullet? How can lost hikers find their way out of a forest? Why does light move through glass in the least amount of time possible? When Least Is Best combines the mathematical history of extrema with contemporary examples to answer these intriguing questions and more. Paul Nahin shows how life often works at the extremes--with values becoming as small (or as large) as possible--and he considers how mathematicians over the centuries, including Descartes, Fermat, and Kepler, have grappled with these problems of minima and maxima. Throughout, Nahin examines entertaining conundrums, such as how to build the shortest bridge possible between two towns, how to vary speed during a race, and how to make the perfect basketball shot. Moving from medieval writings and modern calculus to the field of optimization, the engaging and witty explorations of When Least Is Best will delight math enthusiasts everywhere.

Details

  • Title When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible
  • Author Paul Nahin
  • Binding Paperback
  • Pages 406
  • Volumes 1
  • Language ENG
  • Publisher Princeton University Press
  • Date 2021-05-18
  • Features Bibliography, Index
  • ISBN 9780691218762 / 0691218765
  • Weight 0.8 lbs (0.36 kg)
  • Dimensions 8.3 x 5.5 x 1.2 in (21.08 x 13.97 x 3.05 cm)
  • Library of Congress subjects Mathematics - History, Maxima and minima
  • Dewey Decimal Code 511.66

About the author

Paul J. Nahin is the author of many popular math books, including How to Fall Slower Than Gravity and Hot Molecules, Cold Electrons (both Princeton). He is professor emeritus of electrical engineering at the University of New Hampshire.

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When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible

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