When Least Is Best:
How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible
Paul J. Nahin

Book Description | Table of Contents
Chapter 1 [in PDF format]

ADDITIONAL ENDORSEMENTS:

"When Least Is Best is an illustrative historical walk through optimization problems as solved by mathematicians and scientists. Although many of us associate solving optimization with calculus, Paul J. Nahin shows here that many key problems were posed and solved long before calculus was developed."--Mary Ann B. Freeman, Math Team Development Manager, Mathworks

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File created: 11/5/2011

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