
When Least Is Best
- 392 pages · about 7 hours
- First published 2003
- 6 editions
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1 About this book
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.
Good for readers who want: mathematics, history, and popular science.
- Mathematics
- History
- Popular science
- History, philosophy
- Physics
- Mathematics, history
2 About Paul J. Nahin
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