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When Least Is Best

Paul J. Nahin

2003 · EN

"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."--Jacket.

Editions · 1

Paperback
2021
EN
9780691218762

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