When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible
Language: English
Published by Princeton University Press 02/07/2007, 2007
- Softcover
- Used
Seller: Bahamut Media, Reading, United KingdomBahamut Media
AbeBooks seller since August 15, 2012
Condition: Used - Very good
£ 9.61
Quantity: 1 available
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Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.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. This is the book on optimization for math enthusiasts of all backgrounds.
Seller Inventory # 6545-9780691130521
- Title
- When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible
- Author
- Paul J. Nahin
- Publisher
- Princeton University Press 02/07/2007
- Publication year
- 2007
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0691130523
- ISBN 13
- 9780691130521
- Series
- Book 50 of 61: Princeton Science Library
What is the best way to photograph a speeding bullet? Why does light move through glass in the least amount of time possible? How can lost hikers find their way out of a forest? What will rainbows look like in the future? Why do soap bubbles have a shape that gives them the least area?
By combining the mathematical history of extrema with contemporary examples, Paul J. Nahin answers these intriguing questions and more 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. From medieval writings to the development of modern calculus to the current field of optimization, Nahin tells the story of Dido's problem, Fermat and Descartes, Torricelli, Bishop Berkeley, Goldschmidt, and more. Along the way, he explores how to build the shortest bridge possible between two towns, how to shop for garbage bags, how to vary speed during a race, and how to make the perfect basketball shot.
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.
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Bahamut Media
Reading, United Kingdom
AbeBooks seller since August 15, 2012
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