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When least is best : how mathematicians discovered many clever ways to make things as small (or as large) as possible /

A mathematical journey through the most fascinating problems of extremes and how to solve them. What is the best way to photograph a speeding bullet? How can lost hikers find their way out of a forest? Why does light move through glass in the least amount of time possible? When Least Is Best combine...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nahin, Paul J. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, New Jersey : Princeton University Press, 2021.
Temas:
Acceso en línea:Texto completo

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