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When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible - Paul J. Nahin, Foreword by Jan T. Cross
When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible
3.00 10
This is a delightful account of how the concepts of maxima, minima, and differentiation evolved with time. The level of mathematical sophistication is neither abstract nor superficial and it should appeal to a wide audience.—Ali H. Sayed, University of California, Los Angeles"When Least Is... show more
This is a delightful account of how the concepts of maxima, minima, and differentiation evolved with time. The level of mathematical sophistication is neither abstract nor superficial and it should appeal to a wide audience.—Ali H. Sayed, University of California, Los Angeles"When Least Is Best is an illustrative historical walk through optimization problems as solved by mathematicians and scientists. Although many of us associate solving optimization with calculus, Paul J. Nahin shows here that many key problems were posed and solved long before calculus was developed."—Mary Ann B. Freeman, Math Team Development Manager, Mathworks
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Format: Textbook
ISBN: 9780691130521 (0691130523)
ASIN: 9780691130521
Publisher: Princeton University Press
Edition language: English
Category:
Science, Mathematics
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3.0 When Least Is Best: How Mathematicians Discovered Many Clever Ways to Make Things as Small (or as Large) as Possible
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