Available Formats
When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible
By (Author) Paul J. Nahin
Princeton University Press
Princeton University Press
26th July 2021
United States
Tertiary Education
Non Fiction
Philosophy of mathematics
Mathematical foundations
511.66
Paperback
406
Width 140mm, Height 216mm
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 conte
"Nahin has written a beautifully clear, fascinating book on a topic which is truly vital to so many areas of science and I would recommend anyone who enjoys puzzle solving and having new tools to tackle old (or new) problems should read it."---Jonathan Shock, Mathemafrica
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.