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When Least is Best � How Mathematicians Discovered  Many Clever Ways to Make
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When Least is Best � How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible Paperback - 2007 - 1st Edition

by Nahin, Paul J

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By combining the mathematical history of extrema with contemporary examples, Nahin answers intriguing questions in this engaging and witty volume. He shows how life often works at the extremes--with values becoming as small (or as large) as possible--and how mathematicians over the centuries have struggled to calculate these problems of minima and maxima.

Description

Princeton Univ Pr, 2007. Paperback. New. 372 pages. 9.25x5.75x1.25 inches.
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Details

First line

This book has been written from the practical point of view of the engineer, and so you'll see few rigorous proofs on any of the pages that follow.

From the rear cover

"This is a delightful account of how the concepts of maxima, minima, and differentiation evolved with time. The level of mathematical sophistication is neither abstract nor superficial and it should appeal to a wide audience."--Ali H. Sayed, University of California, Los Angeles

"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

About the author

Paul J. Nahin is Professor Emeritus of Electrical Engineering at the University of New Hampshire. He is the author of many books, including the bestselling An Imaginary Tale: The Story of the Square Root of Minus One, Duelling Idiots and Other Probability Puzzlers, and Dr. Euler's Fabulous Formula: Cures Many Mathematical Ills (all Princeton).