When Least Is Best
How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible
First published 2003
About the book
Read the full 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.”
More by Paul J. Nahin
An Imaginary Tale
1998
Time Travel
1997
Time Machines
1993
Oliver Heaviside
1987
Great Science Fiction
1985
Microcosmic Tales
1980
Catalogue record
Princeton University Press · 370 pages
- Publisher
- Princeton University Press
- Pages
- 370
- ISBN
- 978-0-691-07078-0
Full recordClose
- Publisher
- Princeton University Press
- Pages
- 370
- ISBNs
-
- 978-0-691-07078-0
- 978-1-4008-4136-3
- 978-0-691-22038-3
- 978-1-283-30332-3
- 978-0-691-13052-1
- 978-0-691-21876-2
- Author
- Nahin, Paul J.
- Statement
- When Least Is Best : How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible / Paul J. Nahin.
- Records
- Open Library
- Mathematics
- Maxima and minima
- Popular science
- Science/Mathematics
- History & Philosophy
- Applied Science and Engineering
- Physics
- Mathematics, history