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.
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