An edition of When Least Is Best (2003)
When Least Is Best
How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible
By Paul J. Nahin
3.00 (1 Ratings)
2 Want to read0 Currently reading1 Have read
2 Want to read0 Currently reading1 Have read
Publish Date
November 24, 2003
Publisher
Princeton University Press
Language
eng
Pages
392
Description:
"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."--Jacket.