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When least is best: how mathematicians discovered many clever ways to make things as small (or as large) as possible
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...
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Lenguaje: | eng |
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Princeton Univ. Press
2003
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Acceso en línea: | http://cds.cern.ch/record/1140517 |
_version_ | 1780915537411309568 |
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author | Nahin, Paul J |
author_facet | Nahin, Paul J |
author_sort | Nahin, Paul J |
collection | CERN |
description | 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 centuri |
id | cern-1140517 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2003 |
publisher | Princeton Univ. Press |
record_format | invenio |
spelling | cern-11405172021-04-22T01:42:16Zhttp://cds.cern.ch/record/1140517engNahin, Paul JWhen least is best: how mathematicians discovered many clever ways to make things as small (or as large) as possibleMathematical Physics and MathematicsWhat 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 centuriPrinceton Univ. Pressoai:cds.cern.ch:11405172003 |
spellingShingle | Mathematical Physics and Mathematics Nahin, Paul J When least is best: how mathematicians discovered many clever ways to make things as small (or as large) as possible |
title | When least is best: how mathematicians discovered many clever ways to make things as small (or as large) as possible |
title_full | When least is best: how mathematicians discovered many clever ways to make things as small (or as large) as possible |
title_fullStr | When least is best: how mathematicians discovered many clever ways to make things as small (or as large) as possible |
title_full_unstemmed | When least is best: how mathematicians discovered many clever ways to make things as small (or as large) as possible |
title_short | When least is best: how mathematicians discovered many clever ways to make things as small (or as large) as possible |
title_sort | when least is best: how mathematicians discovered many clever ways to make things as small (or as large) as possible |
topic | Mathematical Physics and Mathematics |
url | http://cds.cern.ch/record/1140517 |
work_keys_str_mv | AT nahinpaulj whenleastisbesthowmathematiciansdiscoveredmanycleverwaystomakethingsassmalloraslargeaspossible |