When Least Is Best

How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible

Bookitis Pick

Image source: Open Library

Paul J. NahinFirst published 20036 editions

"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.

Search books Open lead author

Overview

Shared work-level identity and catalog context.

First publish date November 24, 20031 credited authorSearch language english

Bookitis keeps work pages focused on the shared book identity and the editions that actually belong to it. Unrelated books should not appear here as primary content.

Contributors

People credited with this work in the active catalog.

Paul J. Nahin
Author profile in the active Bookitis catalog
Open Author

Editions

Publication-specific versions linked to this work only.