By Paul J. Nahin
What is the way to picture a dashing bullet? Why does gentle go through glass in the slightest degree period of time attainable? How can misplaced hikers locate their method out of a woodland? what's going to rainbows appear like sooner or later? Why do cleaning soap bubbles have a form that offers them the least zone?
By combining the mathematical heritage of extrema with modern examples, Paul J. Nahin solutions those fascinating questions and extra during this attractive and witty quantity. He exhibits how existence frequently works on the extremes--with values turning into as small (or as huge) as possible--and how mathematicians over the centuries have struggled to calculate those difficulties of minima and maxima. From medieval writings to the advance of contemporary calculus to the present box of optimization, Nahin tells the tale of Dido's challenge, Fermat and Descartes, Torricelli, Bishop Berkeley, Goldschmidt, and extra. alongside the best way, he explores easy methods to construct the shortest bridge attainable among cities, tips on how to store for rubbish baggage, find out how to differ pace in the course of a race, and the way to make definitely the right basketball shot.
Written in a conversational tone and requiring basically an early undergraduate point of mathematical wisdom, When Least Is Best is filled with attention-grabbing examples and ready-to-try-at-home experiments. this is often the 1st ebook on optimization written for a large viewers, and math lovers of all backgrounds will savour its energetic topics.
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Note: You are paying for a standalone product; MyMathLab doesn't come packaged with this content material. if you want to purchase both the actual textual content and MyMathLab, look for ISBN-10: 0321935446 /ISBN-13: 9780321935441. That package deal comprises ISBN-10: 0321431308/ISBN-13: 9780321431301, ISBN-10: 0321654064/ISBN-13: 9780321654069 and ISBN-10: 0321931076/ ISBN-13: 9780321931078.
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