Description: Title: When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible Author: Nahin, Paul J. Publisher: Princeton University Press Binding: Paperback Pages: 406 Dimensions: 8.30h x 5.50w x 1.20d Product Weight: 0.8 lbs. Language: English ISBN: 9780691218762 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. Ships Fast From The USA! Authorized Dealer
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Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
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Number of Pages: 406 Pages
Language: English
Publication Name: When Least Is Best : How Mathematicians Discovered Many Clever Ways to Make Things As Small (or As Large) As Possible
Publisher: Princeton University Press
Publication Year: 2021
Item Height: 0.9 in
Subject: History & Philosophy, General
Item Weight: 17.6 Oz
Type: Textbook
Subject Area: Mathematics
Item Length: 8.5 in
Author: Paul Nahin
Series: Princeton Science Library
Item Width: 5.5 in
Format: Trade Paperback
